Data Consultant jobs at Workday

- 65 jobs

Solution Consultant - HCM
Workday 4.8
Data consultant job at Workday
Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team Join an exciting team charting a new path where you will be a leading advocate for customer loyalty. This will involve supporting proactive engagements to accelerate product adoption & optimization, strengthening relationships to improve overall customer health, driving revenue retention and building future product pipeline. About the Role We are seeking a passionate and driven Solution Consultant to join our HCM Customer Engagement & Renewals team. In this role, you will serve as a trusted advisor to our existing customers, helping them improve the value of their investment in Workday's products. Your primary focus will be on customer retention by driving product adoption and finding opportunities to expand product usage. This role requires a deep understanding of our product suite, excellent discovery and presentation skills, and a consultative approach to customer engagements. This role will engage with varying levels within the customer organization and lead strategic conversations regarding aligning Workday product to business outcomes. Responsibilities include: Drive Product Adoption: Conduct product demonstrations and workshops to showcase the value and benefits of underutilized products to drive increased feature adoption. Identify and address any roadblocks hindering product adoption. Work with CX and Services to develop tailored adoption plans to guide customers through successful deployment. Build Customer Relationships: Establish and maintain strong relationships with key customer team members. Serve as a trusted advisor, providing guidance and support on product-related inquiries and innovation. Understand customer needs and challenges to recommend relevant solutions. Gather customer feedback and share insights with product development teams. Identify Product Expansion & Value Realization Opportunities: Analyze customer data and usage patterns to find opportunities for upselling and cross-selling. May collaborate with Sales teams & Solution Consulting teams to develop product expansion strategies. Stay informed about new product releases and features to identify potential use cases for existing customers. * Ability to travel up to 50% across the US. About You Basic Qualifications : Principal Solution Consultant: 5+ years of Workday Solution Consulting Experience or Product Experience in a Customer Facing Role 5+ Workday product knowledge across the HCM suite. Sr. Solution Consultant: 3+ years of Workday Solution Consulting Experience or Product Experience in a Customer Facing Role 3+ Workday product knowledge across the HCM suite. Other Qualifications: Customer Focus: A passion for customer success and a strong commitment to delivering exceptional service. Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex concepts clearly and concisely. Discovery Skills: Experience in leading open-ended conversations to uncover opportunity without pre-determined prompts. Presentation Skills: Confident and engaging presentation style, with the ability to tailor presentations to different audiences. Problem-Solving Skills: Strong analytical and problem-solving skills, and effectively identify and addressing customer challenges. Collaboration: Ability to work effectively with cross-functional teams, including sales, value and product development. Industry: Understanding of industry best practices and trends Customer Success: Familiarity with existing Workday Success Plans and other CX motions Posting End Date: The application deadline for this role is the same as the posting end date stated. 12/31/2025 Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here. Primary Location: USA.CA.Home Office Primary Location Base Pay Range: $126,000 USD - $189,000 USD Additional US Location(s) Base Pay Range: $126,000 USD - $189,000 USD Additional Considerations: If performed in Colorado, the pay range for this job is $126,000 USD - $189,000 USD based on min and max pay range for that role if performed in CO. The application deadline for this role is the same as the posting end date stated as below: 12/31/2025 Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
$126k-189k yearly Auto-Apply 3d ago
Staff Risk Data Analyst
Intuit 4.8
Mountain View, CA jobs
One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With Quickbooks, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity around the world. We are seeking a Staff Fraud & Risk Analyst as part of our growing Risk Insights and Experimentation team within Intuit's Global Solutions Business Group (GSBG). Be at the cutting edge of the Fintech industry - the GSBG division moves tens of billions of dollars in money for Intuit's customers. The successful analyst will work across functions (Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Global Solutions Business Group's short and long-term business outcomes. We're looking for a candidate who will continue to build a strong analytics culture as part of our growing team. This role reports to the Senior Risk Analytics Manager of GBSG Policy Analytics as part of the broader GBSG Risk Organization. **Responsibilities** **Primary Responsibilities** + Communicate insights clearly and persuasively to diverse audiences, including senior leadership, through concise storytelling and executive-ready deliverables. + Define and drive the development of intuitive, high-impact dashboards and visualizations that guide strategic and operational decisions across the organization. + Lead the design, execution, and interpretation of experiments (e.g. A/B testing) to evaluate business initiatives and optimize product or operational performance. + Partner with cross-functional leaders to shape analytics strategies that are scalable, repeatable, and aligned with team and company goals. + Perform deep analysis on large-scale transactional and behavioral data to uncover trends, diagnose anomalies, and inform compliance, fraud, credit, or policy strategies, including the design of new risk-adjusted approaches. + Evaluate compliance program effectiveness through data-driven reviews of remediation and onboarding flows, ensuring regulatory alignment and minimal customer impact. + Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and strategic reasoning. + Investigate root causes of performance gaps or anomalous behaviors, and recommend timely, data-driven corrective actions to stabilize outcomes. + Build and maintain clean, reliable data pipelines while proactively addressing gaps in data quality, availability, and structure to enable accurate experimentation and monitoring. **Qualifications** **Qualifications** + 6+ years of experience in analytics, data science, or decision strategy roles, with a proven track record of driving measurable impact in complex, cross-functional environments. Experience in Financial Services or Fintech preferred. + Deep proficiency in SQL and working knowledge of Python for data exploration, transformation, and automation of analytics workflows. + Proficiency in data visualization tools (e.g., Quicksight, Tableau, Qlik) and experience building dashboards for monitoring and decision support. + Solid comprehension of A/B testing and experimentation principles; experience designing tests and interpreting results to guide decisions. + Proven track record of influencing cross-functional team decisions through data-driven recommendations. + Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives. + Demonstrated ability to lead cross-functional initiatives and align stakeholders across many teams through analytics. + Skilled at ability to define, operationalize, and evolve KPIs or OKRs in partnership with cross-functional teams. + Bachelor's Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York: $168,500 - 228,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$168.5k-228k yearly 17d ago
Compliance Assurance Staff Data Analyst
Intuit 4.8
Mountain View, CA jobs
**Join our mission** Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. We help give over 50 million consumers, small businesses, and self-employed customers around the world the opportunity to prosper. Come join our amazing team of leaders, learners and world-class compliance professionals. We're a high-performing team that enjoys working together to accelerate innovation across the Intuit ecosystem by delivering impactful business outcomes that strengthen the Intuit brand. Intuit's Legal, Compliance & Policy Organization (LCPO) is seeking a Compliance Assurance Staff Data Analyst. This role is a key enabler for the Compliance Assurance team's next phase of growth, focusing on leveraging AI, advanced analytics, and automation to redefine how we measure, monitor, and scale compliance assurance testing. You will be a builder, a problem-solver, and a thought leader, dedicated to translating complex data into insights and actionable high-impact outcomes that meet our obligations to our customers, partners and regulators. **This role is a hybrid role - with 3 days a week in office expectations.** **Responsibilities** You will lead the Compliance Assurance team into a new era of data-driven scalability by focusing on automation, AI integration, and measurable outcomes. **Define and Drive the Data Strategy:** + Develop a scalable and efficient data-driven strategy and roadmap to scale Compliance Assurance Testing priorities across our platforms, products, and enterprise programs with measurable outcomes. + Proactively guide stakeholder questioning and business optimization efforts by providing data insights, trends, root causes and actionable conclusions, not just data outputs. + Identify and define Key Performance Indicators (KPIs) to rigorously measure the effectiveness of the Compliance Assurance program and remediation efforts. **Lead AI and Automation Initiatives:** + Design and implement automation solutions and explore new methodologies to enhance the efficiency and productivity of the Compliance Assurance team. + Drive the integration of analytics and machine learning models into core assurance and testing approaches to accelerate testing outcomes, enhance risk detection, root cause analysis, impact analysis, and mitigation strategies. + Automate management reporting by developing robust, scalable visualizations and executive dashboards that provide real-time visibility into compliance health and performance. **Culture of Excellence:** + Act as a thought leader and mentor, guiding teammates and stakeholders on how best to harness available data and new AI technologies to meet critical business goals. + Document and share key learnings and data products across the organization to establish best practices and elevate collective data literacy. **Qualifications** We're looking for a proactive, collaborative, and strategic thinker who enjoys solving complex challenges and defining new organizational visions through AI, automation and data. **Experience & Education:** + 7+ years of progressive experience in analytics, data science, or a related field. Experience working in or supporting compliance, internal audit, or product/risk teams is a plus. + Bachelor's Degree in Computer Science, Engineering, Statistics, or Mathematics. A Graduate degree in a related field and experience in the FinTech, Banking, or Technology industry is preferred. **Technical Mastery:** + Expert proficiency in data manipulation and statistical analysis using SQL, Python, R, and advanced data visualization tools (e.g., Tableau, Power BI, QlikSense). Experience with machine learning libraries and Databricks for big data environments (e.g., Hive) is a strong advantage. + Proactively resolve data quality and validation issues from identification to final resolution. **Strategic & Collaborative Mindset:** + A proactive builder who seeks to understand customer (internal stakeholder) pain points and defines the vision before executing solutions. + Exceptional collaboration skills, with proven success establishing trust and partnering effectively with diverse and cross-functional technical and non-technical stakeholders and teammates. + Demonstrates strategic thinking and the courage to take smart risks, balancing short-term execution with long-term strategic implications. **Communication, Influence & Execution:** + Excellent data storytelling skills to simplify complex analysis into clear, compelling narratives that influence executive decisions and drive cross-functional consensus. + Strong communication and organizational skills to manage and balance multiple priorities, including existing projects and strategic initiatives concurrently while operating with velocity and accountability to drive growth. + Passionate and thrives in a fast-paced, high-performance culture to deliver measurable growth, elevate customer experience, and achieve impactful business outcomes. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$104k-140k yearly est. 42d ago
Staff People Analytics Business Data Analyst
Intuit 4.8
San Diego, CA jobs
We are seeking an experienced People Analytics Lead to join our People Data & Analytics team at Intuit. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. This role will lead the data and analytics strategy for Intuit's global performance and promotion programs - spaces that are foundational to how we assess, recognize, and grow our talent. The analyst will partner with HR and business leaders to design, measure, and evolve processes that support Intuit's long-term performance culture. At Intuit we are actively re-evaluating our technology that supports the performance and promotion processes, and this person will play a critical role in evaluation and execution of these transitions, ensuring data integrity, governance, and usability. In addition, this person will bring analytical rigor to upcoming Mid-Year Performance and Promotion cycle events, providing insights that enable both employee experience and business outcomes. This role is critical to supporting Intuit's ongoing transformation of its talent management ecosystem - ensuring that our performance and promotion processes are scalable, insight-driven, and aligned to our mission of powering prosperity for our people and the company. **Responsibilities** + Lead cross-functional analytics initiatives across Intuit's global performance and promotion programs, ensuring data and insights drive equitable, consistent, and high-impact talent decisions. + Partner with HR COEs, business partners, and technology teams to design and implement metrics, dashboards, and reporting that measure program effectiveness and guide continuous improvement. + Drive the data and analytics strategy for HR Tech implementations with a customer-backed approach, ensuring data integrity, accuracy, and accessibility throughout the transition. + Develop and maintain scalable analytics solutions that enable real-time visibility into performance and promotion processes, surfacing insights that improve employee experience and operational excellence. + Establish and uphold data governance standards across performance and promotion data domains, ensuring consistency, security, and compliance with enterprise data policies. + Provide deep analytical support for key talent events - including Mid-Year and Year-End performance cycles - delivering insights to inform calibration, promotion, and talent planning discussions. + Collaborate with HR technology, data engineering, and analytics teams to evolve our data infrastructure and ensure performance and promotion analytics align with enterprise platforms and priorities. + Translate complex analytics into clear narratives and recommendations that influence senior leaders and drive strategic decision-making across the organization. **Qualifications** + Bachelor's degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field. + 5+ years of experience in people analytics, HR analytics, or related data strategy roles. + Demonstrated expertise in building and interpreting **people metrics, dashboards, and reporting** that drive strategic decisions. + Proven experience leading **cross-functional analytics initiatives** involving multiple stakeholders (HR, technology, and business). + Strong technical proficiency in **data visualization tools** (e.g., Quick Sight, Qlik Sense, or similar) and **data querying languages** (python or similar). + Ability to synthesize complex data into clear insights and recommendations for senior leaders. + Exceptional attention to detail and a commitment to data integrity, governance, and storytelling. + Experience working with Workday or other performance and goal management systems. + Familiarity with **HR data architecture** , system integrations, and migrations between HR platforms. + Knowledge of **promotion and performance processes** (e.g., calibration, ratings, or talent review cycles). + Exposure to **data governance frameworks** or experience establishing data quality standards. + Strong communication and stakeholder management skills, with a consultative approach to influencing decisions. + Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $144,000 - $220,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$144k-220k yearly 22d ago
ServiceNow Business Data Analyst
Intuit 4.8
San Diego, CA jobs
We are seeking an experienced people analyst to join our team of People Data Analysts at Intuit. The team acts as consultants to Intuit leadership and HR COEs to bring insight and stronger actions to how we drive people strategies across Intuit. A core focus on this new role will be to lead the Data & Analytics workstream within the implementation of ServiceNow, thinking end to end how data is created, governed and presented within the platform. This role is critical to supporting Intuit's HR priority: _AI Driven Employee Experiences_ . Having a strong analyst leading work in this space with a strategic understanding of the ServiceNow data ecosystem will enable Intuit to deliver on its customer adoption and operational excellence goals. **Responsibilities** This ServiceNow Business Data Analyst will partner with cross-functional teams both from HR and the business to ensure data accuracy, scalability, and actionable insights. This role is expected to execute the following responsibilities: + Lead cross-functional ServiceNow data workstreams focused on case analysis, reporting, dashboards, and data governance. + Identify and scope advanced analytics and AI use cases within ServiceNow to elevate insights and predictive capabilities. + Develop deep understanding of ServiceNow case data, reporting structures, and integrations with data lake tables and marts. + Drive analysis from cases to identify trends, friction points, and improvement opportunities. + Design dashboards and reporting solutions in ServiceNow to support business leaders and operational teams. + Partner with ServiceNow product owners and engineering to ensure data quality, cleanliness, and AI-readiness. + Define and implement data governance standards across ServiceNow data domains. + Collaborate across PART and other stakeholder groups to share knowledge and build scalable solutions. **Qualifications** Success Metrics + Delivery and adoption of ServiceNow case dashboards by leadership and stakeholders. + Implementation of 3+ advanced analytics or AI use cases leveraging ServiceNow case data. + Establishment of data governance framework for ServiceNow analytics. + Positive feedback from stakeholders on insights and reporting quality. + Demonstrated impact of VOE case analysis on business strategy and employee experience improvements. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $163,000 - $220,500 Southern California $144,000 - 195,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$163k-220.5k yearly 53d ago
ServiceNow Business Data Analyst
Intuit 4.8
Mountain View, CA jobs
We are seeking an experienced people analyst to join our team of People Data Analysts at Intuit. The team acts as consultants to Intuit leadership and HR COEs to bring insight and stronger actions to how we drive people strategies across Intuit. A core focus on this new role will be to lead the Data & Analytics workstream within the implementation of ServiceNow, thinking end to end how data is created, governed and presented within the platform. This role is critical to supporting Intuit's HR priority: _AI Driven Employee Experiences_ . Having a strong analyst leading work in this space with a strategic understanding of the ServiceNow data ecosystem will enable Intuit to deliver on its customer adoption and operational excellence goals. **Responsibilities** This ServiceNow Business Data Analyst will partner with cross-functional teams both from HR and the business to ensure data accuracy, scalability, and actionable insights. This role is expected to execute the following responsibilities: + Lead cross-functional ServiceNow data workstreams focused on case analysis, reporting, dashboards, and data governance. + Identify and scope advanced analytics and AI use cases within ServiceNow to elevate insights and predictive capabilities. + Develop deep understanding of ServiceNow case data, reporting structures, and integrations with data lake tables and marts. + Drive analysis from cases to identify trends, friction points, and improvement opportunities. + Design dashboards and reporting solutions in ServiceNow to support business leaders and operational teams. + Partner with ServiceNow product owners and engineering to ensure data quality, cleanliness, and AI-readiness. + Define and implement data governance standards across ServiceNow data domains. + Collaborate across PART and other stakeholder groups to share knowledge and build scalable solutions. **Qualifications** Success Metrics + Delivery and adoption of ServiceNow case dashboards by leadership and stakeholders. + Implementation of 3+ advanced analytics or AI use cases leveraging ServiceNow case data. + Establishment of data governance framework for ServiceNow analytics. + Positive feedback from stakeholders on insights and reporting quality. + Demonstrated impact of VOE case analysis on business strategy and employee experience improvements. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $163,000 - $220,500 Southern California $144,000 - 195,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$163k-220.5k yearly 53d ago
Staff People Analytics Business Data Analyst
Intuit 4.8
Mountain View, CA jobs
We are seeking an experienced People Analytics Lead to join our People Data & Analytics team at Intuit. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. This role will lead the data and analytics strategy for Intuit's global performance and promotion programs - spaces that are foundational to how we assess, recognize, and grow our talent. The analyst will partner with HR and business leaders to design, measure, and evolve processes that support Intuit's long-term performance culture. At Intuit we are actively re-evaluating our technology that supports the performance and promotion processes, and this person will play a critical role in evaluation and execution of these transitions, ensuring data integrity, governance, and usability. In addition, this person will bring analytical rigor to upcoming Mid-Year Performance and Promotion cycle events, providing insights that enable both employee experience and business outcomes. This role is critical to supporting Intuit's ongoing transformation of its talent management ecosystem - ensuring that our performance and promotion processes are scalable, insight-driven, and aligned to our mission of powering prosperity for our people and the company. **Responsibilities** + Lead cross-functional analytics initiatives across Intuit's global performance and promotion programs, ensuring data and insights drive equitable, consistent, and high-impact talent decisions. + Partner with HR COEs, business partners, and technology teams to design and implement metrics, dashboards, and reporting that measure program effectiveness and guide continuous improvement. + Drive the data and analytics strategy for HR Tech implementations with a customer-backed approach, ensuring data integrity, accuracy, and accessibility throughout the transition. + Develop and maintain scalable analytics solutions that enable real-time visibility into performance and promotion processes, surfacing insights that improve employee experience and operational excellence. + Establish and uphold data governance standards across performance and promotion data domains, ensuring consistency, security, and compliance with enterprise data policies. + Provide deep analytical support for key talent events - including Mid-Year and Year-End performance cycles - delivering insights to inform calibration, promotion, and talent planning discussions. + Collaborate with HR technology, data engineering, and analytics teams to evolve our data infrastructure and ensure performance and promotion analytics align with enterprise platforms and priorities. + Translate complex analytics into clear narratives and recommendations that influence senior leaders and drive strategic decision-making across the organization. **Qualifications** + Bachelor's degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field. + 5+ years of experience in people analytics, HR analytics, or related data strategy roles. + Demonstrated expertise in building and interpreting **people metrics, dashboards, and reporting** that drive strategic decisions. + Proven experience leading **cross-functional analytics initiatives** involving multiple stakeholders (HR, technology, and business). + Strong technical proficiency in **data visualization tools** (e.g., Quick Sight, Qlik Sense, or similar) and **data querying languages** (python or similar). + Ability to synthesize complex data into clear insights and recommendations for senior leaders. + Exceptional attention to detail and a commitment to data integrity, governance, and storytelling. + Experience working with Workday or other performance and goal management systems. + Familiarity with **HR data architecture** , system integrations, and migrations between HR platforms. + Knowledge of **promotion and performance processes** (e.g., calibration, ratings, or talent review cycles). + Exposure to **data governance frameworks** or experience establishing data quality standards. + Strong communication and stakeholder management skills, with a consultative approach to influencing decisions. + Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $144,000 - $220,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$144k-220k yearly 22d ago
Staff Business Data Analyst
Intuit 4.8
Mountain View, CA jobs
Intuit is looking for an experienced and highly motivated Staff Business Data Analyst to join the Global Sourcing & Procurement (GSP) team. In this role, you will lead the management and optimization of reporting tools, dashboards, and systems that power GSP's insights and operations. You'll collect, analyze, and translate data into actionable insights while implementing best-in-class solutions that enhance user experience and streamline business processes. The ideal candidate is a data-driven problem solver with a proven track record in developing and maintaining dashboards and reporting tools. You excel at communicating complex information clearly to stakeholders and have a passion for building and managing mission-critical data solutions that drive business impact. **Responsibilities** + Quickly ramp up to develop a deep understanding of the systems, dashboards and reporting tools utilized by the GSP team. + Thoughtfully manage a new dashboard & reporting pipeline and build new reporting capabilities for the GSP team as needed. + Refine process automation to efficiently compile data from multiple sources and develop reporting methods/dashboards to drive transparency into performance. + Enhance and streamline existing GSP reporting tools and capabilities to enable faster and more accurate insights into business performance. + Leverage strong analytical skills to identify actionable insights from large datasets, transforming complex data into clear, concise presentations for leadership. Develop impactful reports and presentations that inform decision-making, influence strategy, and drive business growth. + Partner across GSP to continuously improve processes and tools to drive scale. + Integrate AI capabilities into dashboards and reporting tools to deliver predictive insights and intelligent recommendations to stakeholders; develop AI prototypes. + Stay up to date with industry standards and best practices; explore and evaluate new tools and technologies for reporting. + Maintain data integrity, confidentiality and availability by strictly adhering to data stewardship principles and guidelines. + Manage complex processes and ambiguous situations while collaborating with multiple individuals and teams. + Communicate effectively in both verbal and written form with business partners. **Qualifications** + 7+ years of experience working in data, analytics or other relevant roles. + Bachelor's degree in mathematics, Statistics, or a related field. + Demonstrated experience with Qlik Sense is required, including developing and managing data visualizations and dashboards. Familiarity with other modern reporting tools such as AWS Quicksight is a plus, along with a willingness to learn and implement new software. + Efficient in handling large-scale datasets and proficient in using data manipulation tools and databases (SQL, NoSQL). + Experience with requirements gathering and process documentation. + Excellent analytical and problem-solving skills, with attention to detail and a high degree of accuracy. + Experience leveraging AI and machine learning tools to automate analysis, generate insights, or improve data-driven decision making. + High degree of organization, individual initiative, intellectual curiosity, personal accountability, and a commitment to driving results in a fast-paced environment while managing multiple priorities simultaneously. + Well-rounded interpersonal and communication skills with the capacity to build strong relationships and collaborate with multiple stakeholders. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$97k-133k yearly est. 6d ago
Staff Business Data Analyst
Intuit 4.8
San Diego, CA jobs
Intuit is looking for an experienced and highly motivated Staff Business Data Analyst to join the Global Sourcing & Procurement (GSP) team. In this role, you will lead the management and optimization of reporting tools, dashboards, and systems that power GSP's insights and operations. You'll collect, analyze, and translate data into actionable insights while implementing best-in-class solutions that enhance user experience and streamline business processes. The ideal candidate is a data-driven problem solver with a proven track record in developing and maintaining dashboards and reporting tools. You excel at communicating complex information clearly to stakeholders and have a passion for building and managing mission-critical data solutions that drive business impact. **Responsibilities** + Quickly ramp up to develop a deep understanding of the systems, dashboards and reporting tools utilized by the GSP team. + Thoughtfully manage a new dashboard & reporting pipeline and build new reporting capabilities for the GSP team as needed. + Refine process automation to efficiently compile data from multiple sources and develop reporting methods/dashboards to drive transparency into performance. + Enhance and streamline existing GSP reporting tools and capabilities to enable faster and more accurate insights into business performance. + Leverage strong analytical skills to identify actionable insights from large datasets, transforming complex data into clear, concise presentations for leadership. Develop impactful reports and presentations that inform decision-making, influence strategy, and drive business growth. + Partner across GSP to continuously improve processes and tools to drive scale. + Integrate AI capabilities into dashboards and reporting tools to deliver predictive insights and intelligent recommendations to stakeholders; develop AI prototypes. + Stay up to date with industry standards and best practices; explore and evaluate new tools and technologies for reporting. + Maintain data integrity, confidentiality and availability by strictly adhering to data stewardship principles and guidelines. + Manage complex processes and ambiguous situations while collaborating with multiple individuals and teams. + Communicate effectively in both verbal and written form with business partners. **Qualifications** + 7+ years of experience working in data, analytics or other relevant roles. + Bachelor's degree in mathematics, Statistics, or a related field. + Demonstrated experience with Qlik Sense is required, including developing and managing data visualizations and dashboards. Familiarity with other modern reporting tools such as AWS Quicksight is a plus, along with a willingness to learn and implement new software. + Efficient in handling large-scale datasets and proficient in using data manipulation tools and databases (SQL, NoSQL). + Experience with requirements gathering and process documentation. + Excellent analytical and problem-solving skills, with attention to detail and a high degree of accuracy. + Experience leveraging AI and machine learning tools to automate analysis, generate insights, or improve data-driven decision making. + High degree of organization, individual initiative, intellectual curiosity, personal accountability, and a commitment to driving results in a fast-paced environment while managing multiple priorities simultaneously. + Well-rounded interpersonal and communication skills with the capacity to build strong relationships and collaborate with multiple stakeholders. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$88k-117k yearly est. 6d ago
Principal Data Scientist
Intuit 4.8
San Francisco, CA jobs
The Global Business Solutions Group (GBSG) Product Growth team represents a new approach to accelerating business outcomes through a data-driven and surgical focus on product funnel optimization. We are building a center of excellence that brings together world-class talent to drive rapid experiments, deep analytics, and cross-functional collaboration, all aimed at uncovering and scaling growth opportunities. As a Principal Data Scientist, you will operate at a senior technical level as an individual contributor, partnering closely with peers and leaders alike to identify, execute, and iterate on high-impact growth initiatives. Your role is pivotal in leveraging advanced data science techniques, including causal inference-to unlock critical insights and propose actionable hypotheses that rally the team and drive measurable customer and business outcomes. **Responsibilities** **Responsibilities** **:** Set Technical Vision and Strategy: + Define and execute a data science roadmap that drives product funnel optimization and scalable growth initiatives across diverse business areas. + Utilize rigorous causal inference techniques, advanced statistical modeling, and machine learning to extract actionable insights from complex datasets. Drive Deep Analytics & Experimentation: + Develop a comprehensive, end-to-end data view of the customer experience, quickly mastering different areas of the business to identify new opportunities for growth. + Design, implement, and analyze rapid experiments to validate hypotheses, ensuring every initiative is grounded in data-driven insights and robust causal analysis. Collaborate Across Functions: + Partner closely with Product, Engineering, Design, and other cross-functional teams to integrate data insights into actionable product strategies and improvements. + Support improvements in instrumentation, data quality, and logging to enhance analytical capabilities and drive deeper understanding of customer behavior. Lead by Example: + Serve as a technical leader within the Product Growth team, setting the gold standard for analytical rigor and innovative problem-solving. + Share expertise and best practices in causal inference and advanced analytics, mentoring team members and contributing to the broader growth framework at Intuit. Operate with Agility and Impact: + Quickly assimilate and leverage various business metrics and data sources to uncover new insights and propose high-impact hypotheses. + Balance deep technical work with rapid execution, ensuring insights are translated into effective strategies that deliver tangible results. **Qualifications** **Qualifications** **:** Experience & Expertise: + 10+ years of experience in data science or analytics, with a strong track record in applying advanced analytical methods to drive product and business growth. + Demonstrated expertise in causal inference techniques, statistical modeling, machine learning, and experimental design. Technical Proficiency: + Advanced proficiency in SQL, Python, R, and other analytical tools, with hands-on experience in leveraging data visualization platforms (e.g., Tableau, Power BI) to communicate insights effectively. + Proven ability to quickly jump into new business areas, mastering the key data and metrics to inform decision-making. Cross-Functional Collaboration & Leadership: + Strong communication and storytelling skills, with a history of influencing both technical and non-technical stakeholders through data-driven insights. + A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences. + An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California: $240,000-324,500 Southern California: $197,500-$267,500 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$240k-324.5k yearly 44d ago
Staff Data Scientist
Intuit 4.8
San Diego, CA jobs
Join Intuit's Customer Success, Scaling Assisted Services Data Science Team as a Staff Data Scientist and be at the forefront of transforming how customers connect with our expert-led offerings. In this strategic role, you'll support our high-growth Full Service offerings by meeting customers where they are: locally, virtually, and authentically. You'll play a pivotal role in building and scaling the analytics foundation behind our expert-first experience, influencing product design, marketing strategy, operational execution, and customer delight. This is an opportunity to help shape a hybrid virtual/in-person expert experience with national reach and deep local relevance - and to fuel Intuit's next chapter of growth in the $35B assisted tax market **Responsibilities** **Elevate End-to-End Customer Experience Through Data** + Define and track customer experience metrics across the expert journey, from discovery to service delivery, to ensure consistency, trust, and ease. + Partner with CX, operations, and expert network teams to uncover friction points, measure quality, and ensure that expert interactions deliver high customer satisfaction and resolution. + Lead efforts to connect Voice of Customer data (surveys, call/chat feedback, behavioral signals) to operational KPIs to identify and act on experience improvement opportunities. **Design Scalable Analytics Solutions for Hybrid Expert Models** + Build robust data infrastructure to monitor and improve hybrid (virtual + physical) service delivery models at scale. + Develop dashboards and self-serve tools that enable real-time visibility into experience quality, expert readiness, and resolution performance. + Establish and maintain geo-segmented and persona-based reporting frameworks that account for localized service needs and operational nuances. **Support Operational Excellence and Seasonal Readiness** + Analyze expert utilization, capacity planning, and performance trends to inform staffing and scheduling strategies. + Drive continuous improvements in expert routing, workload balancing, and tool usage based on empirical data. + Partner with operations teams during key seasonal milestones to ensure expert networks are optimized for readiness, efficiency, and service quality. **Lead with Insightful Storytelling and Cross-Functional Influence** + Craft and present compelling insights to senior leaders that guide customer experience investments and operational priorities. + Collaborate across Customer Success, CX, and Expert Network teams to align on shared goals for service consistency, customer trust, and business growth. + Translate complex data into actionable insights that influence long-term strategy and near-term execution. **Qualifications** + 8+ years in data science, analytics, or a related field, ideally supporting consumer services, marketplaces, or expert-led models. + Advanced proficiency in SQL and data visualization (e.g., Tableau), and programming in Python or R. + Experience building scalable data pipelines, metrics layers, and experiment platforms; familiarity with dbt, Airflow, Snowflake, or Databricks is a plus. + Strong analytical skills including customer segmentation, funnel analytics, geo-analytics, and behavioral modeling. + Hands-on experience designing and evaluating A/B and multivariate experiments. + Understanding of machine learning and generative AI use cases in consumer applications is a plus. + Excellent storytelling and communication skills to influence decisions across technical and non-technical audiences. + Proven track record of cross-functional collaboration, managing multiple projects in fast-paced environments. + Passion for data craft, mentorship, and continuous improvement with a growth-oriented mindset. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California $179,000 - 242,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$179k-242k yearly 53d ago
Staff Data Scientist, Lending Externalization
Intuit 4.8
San Francisco, CA jobs
Intuit's Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses to manage cash flow. At the heart of this mission, the QuickBooks Capital team is developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease. The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for our partnerships and externalization efforts -a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit's rich customer data, this platform aims to partner with other organizations like Amazon to deliver personalized loan offers. In this role, you'll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale our partnerships and externalization efforts rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience with partnerships-focused analytics or data science is a plus. **Responsibilities** As a Staff Data Scientist on the Lending Data Science team, you will play a pivotal role in shaping strategy through deep analytical insights. This includes: + Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations. + Driving strategic insights to shape growth for QuickBooks Capital and positively impact millions of small and medium sized businesses + Developing predictive models, causal inference studies, and A/B testing to uncover customer insights to drive product, marketing, and lending innovations. + Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience. + Collaborating closely with cross-functional partners in Product Management, + Marketing, Engineering, and Design to inform and guide product strategy. + Translating complex data into clear, actionable insights for both technical and non-technical stakeholders **Qualifications** We're looking for a curious, proactive data scientist with a passion for Fintech along with: + 6-10 years of experience in data science and analytics + Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions + Experience in building scalable, reusable analytics tools and avoiding redundant efforts + Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing + Strong expertise in causal inference, predictive modeling, customer segmentation, and experimentation design. + Excellent communication and stakeholder influence skills across business and technical teams + Ability to work independently and collaboratively in a fast-paced, dynamic environment + BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field Technical Skills: + Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau + Strong analytical and modeling skills using Python or R + Experience applying statistical and machine learning techniques to solve go-to-market and product problems + Preferred Additional Qualifications + Expertise in causal inference, LTV modeling, or other statistics in situations where A/B testing ability is limited + Background or experience working in analytics engineering or business intelligence roles + Experience addressing growth-related challenges at fintech companies focused on lending or fintech partnerships serving consumers or SMBs + Familiarity with Generative AI and other emerging technologies Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California: $ 186,500- 252,000 Southern California: $ 179,000- 242,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$186.5k-252k yearly 53d ago
Staff Data Scientist: Intelligent Process Automation Solutions Designer
Intuit 4.8
Mountain View, CA jobs
Join Intuit's Intelligent Process Automation (IPA) team within the Customer Success organization. As an Intelligent Process Automation Solutions Designer, you will bridge business strategy and technical execution - designing, automating, and optimizing end-to-end workflows that drive transformation across Intuit's service and operational ecosystems. This role combines strategic systems architecture with deep technical implementation expertise in automation, AI/LLM integration, and cloud-based process design. You will act as both a business process strategist and a hands-on automation engineer, ensuring that every automation directly enhances business outcomes, scalability, and customer experience. **Responsibilities** **End-to-End Automation Design & Architecture** - Lead the design and deployment of intelligent process automation solutions across Customer Success and adjacent business units. - Architect integrated systems connecting CRM, data pipelines, APIs, and AI services using AWS infrastructure, Jenkins, and microservice (MSAAS) environments. - Translate business requirements into solution blueprints and software design documentation that define data flow, integration points, and automation logic. - Oversee solution design from conceptualization to production, ensuring alignment with the company's automation strategy and governance frameworks. **AI and Agentic Systems Development** - Build Agentic AI capabilities that can autonomously perform business processes or support human decision-making. - Design and implement LLM-based interfaces and workflows for process orchestration, text understanding, and automation triggering. - Prototype, evaluate, and deploy new AI/ML and natural language processing solutions, ensuring measurable business value and compliance with data governance standards. **Technical Implementation & Integration** - Develop, test, and deploy Python-based automation frameworks, scripts, and microservices for workflow optimization. - Implement robust CI/CD pipelines using Jenkins and AWS tools for automated deployment and version control of process automations. - Ensure automations are secure, compliant, and scalable, leveraging AWS security frameworks and best practices. **Business Partnership and Ownership** - Collaborate closely with business leaders, product managers, and data engineers to identify automation opportunities and define success metrics. - Act as a translator between business needs and technical execution, ensuring every automation aligns with key performance indicators (CSAT, efficiency, ROI). - Exhibit strong ownership and accountability - from ideation through implementation and performance monitoring. **Continuous Innovation & Enablement** - Contribute directly to a culture of continuous improvement and innovation across automation initiatives. - Evaluate new technologies, frameworks, and AI capabilities relevant to intelligent process automation. - Lead proof-of-concepts and pilot programs for cutting-edge automation use cases. - Mentor peers and contribute to the center of excellence for automation design, governance, and best practices. **Qualifications** **Technical Skills** - Strong programming experience in Python (required); experience with JavaScript, Go, or similar languages a plus. - Experience in process automation, process mining, data pipelines, and system integrations using APIs and cloud-native tools. - Expertise interfacing with Large Language Models (LLMs) and building Agentic AI systems that interact with APIs, data, and end-users. - Proficiency in AWS services (Lambda, S3, API Gateway, DynamoDB, Step Functions, CloudFormation, etc.). - Experience with Jenkins, microservices, and MSAAS architectures. - Understanding of event-driven automation, and data governance/security principles. **Business & Leadership Skills** - Proven ability to design solutions that blend technical feasibility with business impact. - Strong business acumen and understanding of operational processes, metrics, and automation ROI. - Skilled communicator - able to articulate technical strategies to non-technical stakeholders. - Demonstrated ownership, accountability, and influence in cross-functional environments. - Experience in driving process transformation initiatives across large-scale organizations. **Preferred Experience** - Exposure to contact center, CRM, or customer service technologies. - Bachelor's degree in Computer Science, Engineering, or related field; advanced degree or MBA preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$113k-153k yearly est. 28d ago
Staff Data Scientist
Intuit 4.8
San Diego, CA jobs
Are you a **visionary problem solver** passionate about leveraging **data** to drive business performance, create lasting impact, and shape strategic direction? Do you thrive in a dynamic environment where you can innovate and build solutions from the ground up? If so, Intuit-driven by its values of **Integrity Without Compromise** and **Customer Obsession** -is seeking a talented and entrepreneurial **Staff Data Scientist** to help reimagine the future of our **Expert Network** . As part of the **ICS Network Topology and Long-Term Planning team** within Intuit's Expert Network, you will play a critical role in advancing **workforce strategy** , implementing intelligence-led solutions, and enabling Intuit to scale operations with agility, precision, and resilience. As Intuit's Expert Network continues to expand in **scale and complexity** , your work will help ensure intentional allocation of the **right labor models, partners, and geographies** to meet customer needs. You'll develop data-driven strategies and build predictive models to optimize **cost, flexibility** , and **continuity** , while collaborating cross-functionally with teams such as **Workforce Management (WFM)** , **Expert Sourcing & Partnerships (ESP)** , and **Finance** . Using state-of-the-art data science techniques, you will integrate intelligence into every aspect of workforce planning to solve complex challenges and create actionable insights that align with Intuit's long-term business objectives. At **Intuit** , we don't just build products-we empower people and businesses to prosper. Guided by our core values of **Integrity Without Compromise** and **Customer Obsession** , we foster an environment where trust, innovation, and excellence thrive. As part of the **ICS Network Topology and Long-Term Planning team** , you will have the chance to shape the future of workforce planning and strategy at a global scale while directly supporting millions of customers and experts worldwide. If you have a passion for solving **complex, high-impact problems** , driving **data-driven innovation** , and influencing strategy within a highly collaborative environment, we want to hear from you. Help us build the future of data science solutions that transform the way we power prosperity. **Responsibilities** + Develop and execute the **Expert Network topology strategy** , including **site selection** , workforce sourcing, labor allocation, and partner selection. + Analyze **global labor markets** to identify the best geographic locations for future investments and workforce optimization. + Conduct **cost-benefit analyses** , operational performance assessments, and workforce modeling to ensure scalable and efficient operations. + Partner with **cross-functional teams** to design a workforce strategy that balances **cost, flexibility, customer experience** , and productivity. + Evaluate the performance of various **labor models** (e.g., onshore, offshore, nearshore) and align them with organizational objectives. + Build **predictive models** and apply advanced analytics to enable intelligence-driven decisions for long-term workforce planning. + Develop data-driven frameworks to guide footprint planning for agility, resilience, and scalability. + Clearly communicate insights and recommendations using **narrative storytelling** and **data visualizations** , ensuring alignment across all levels of the organization. **Qualifications** + **Data Science Expertise** : Proven hands-on experience in data science, predictive modeling, and data-driven decision-making methodologies. + **Strategic Thinker** : Ability to identify opportunities, design solutions, and connect complex systems to address both short-term and long-term workforce challenges. + **Innovative Problem Solver** : Entrepreneurial mindset with a track record of building scalable solutions from scratch in dynamic environments. + **Industry Knowledge** : Advanced understanding of labor market trends, global workforce dynamics, and workforce optimization strategies. + **Technical Skills** : Proficiency in analytics tools such as Python, SQL, R, Tableau, or similar platforms for data analysis and visualization. + **Education** : Bachelor's degree in Data Science, Business, Engineering, or a related field; an advanced degree is preferred. + **Experience** : 7+ years in data science, workforce planning, or operational strategy, preferably within call center or service environments. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$103k-138k yearly est. 53d ago
Staff Data Scientist , Customer Success
Intuit 4.8
San Diego, CA jobs
Join Intuit's Customer Success Data Science Team as a Staff Data Scientist supporting TurboTax Full Service, one of Intuit's fastest-growing customer offerings. You'll help shape how customers experience trusted, expert-led tax preparation by using data to drive better outcomes at every step: from customer intent and expert matching to service quality, completion, and satisfaction. In this strategic, high-impact role, you'll own the analytics foundation that fuels decision-making across product, operations, marketing, and CX. You'll bring structure to ambiguous problems, connect data to customer stories, and influence how Intuit delivers trustworthy, delightful expert experiences at scale. **Responsibilities** **Elevate End-to-End Customer Experience Through Data** + Define and track customer experience metrics across the expert journey, from discovery to service delivery, to ensure consistency, trust, and ease. + Partner with CX, operations, and expert network teams to uncover friction points, measure quality, and ensure that expert interactions deliver high customer satisfaction and resolution. + Lead efforts to connect Voice of Customer data (surveys, call/chat feedback, behavioral signals) to operational KPIs to identify and act on experience improvement opportunities. **Design Scalable Measurement and Analytics Solutions** + Design the data ecosystem for Full Service analytics, including core tables, pipelines, and dashboards to support self-serve visibility across teams + Develop dashboards and self-serve tools that enable real-time visibility into experience quality, expert readiness, and resolution performance. **Lead with Insightful Storytelling & Cross-Functional Influence** + Craft and present compelling insights to senior leaders that guide customer experience investments and operational priorities. + Collaborate across Customer Success, CX, and Expert Network teams to align on shared goals for service consistency, customer trust, and business growth. + Translate complex data into actionable insights that influence long-term strategy and near-term execution. **Champion Experimentation and Continuous Learning** + Design and evaluate experiments and pilots to test service improvements, operational changes, or experience flows. + Partner with product and operations teams to define learning plans and success metrics for new features and customer journeys. + Contribute to building a culture of data-driven experimentation and innovation across the Full Service ecosystem. **Why This Role is Unique** + Customer Impact: Drive tangible improvements in customer satisfaction, resolution speed, and trust. + Growth & Learning: Build alongside CX, Product leaders shaping the next evolution of TurboTax. + Visibility: Regular exposure to senior executives and leadership across Intuit. + Innovation at Scale: Help evolve Intuit's data systems and measurement strategies for a rapidly growing expert-led service. **Qualifications** + 8+ years in data science, analytics, or a related field, ideally supporting consumer services, marketplaces, or expert-led models. + Advanced proficiency in SQL and data visualization (e.g., Tableau), and programming in Python or R. + Experience building scalable data pipelines, metrics layers, and experiment platforms; familiarity with dbt, Airflow, Snowflake, or Databricks is a plus. + Deep understanding of customer journey analytics, CX measurement, and operational performance analytics. + Hands-on experience designing and evaluating A/B and multivariate experiments. + Understanding of machine learning and generative AI use cases in consumer applications is a plus. + Excellent storytelling and communication skills to influence decisions across technical and non-technical audiences. + Proven track record of cross-functional collaboration, managing multiple projects in fast-paced environments. + Passion for data craft, mentorship, and continuous improvement with a growth-oriented mindset. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$103k-138k yearly est. 28d ago
Staff Data Scientist, Platform Performance
Intuit 4.8
San Diego, CA jobs
We are seeking an experienced and highly motivated Staff Data Scientist to join our Platform Analytics team at Intuit. This role will serve as a thought leader and strategic partner to product, platform, and engineering leadership, driving unified measurement frameworks and ensuring analytics excellence across global teams. The ideal candidate will have deep expertise in data science, experimentation, and scalable measurement, as well as experience in developing evaluation frameworks for Generative AI (GenAI) and agentic workflows such as GenAI-powered digital assistants. This is a unique opportunity to shape how both foundational platforms and emerging AI capabilities are measured, optimized, and integrated into Intuit's platform. **Responsibilities** + **Strategic Alignment:** **Partner with product, platform, and engineering leaders to align analytics and observability priorities with platform goals, enabling data-driven decisions on investments and improvements.** + **Unified KPI Framework:** **Define, instrument, and govern key platform KPIs that measure reliability, scalability, and business impact.** + **Performance Observability:** **Build SLA-bound dashboards, lead KPI reviews, and implement proactive alerting to ensure platform resilience and transparency.** + **Cross-Analytics Collaboration:** **Champion platform performance insights across analytics teams (e.g., Segment, Product Analytics), ensuring consistent visibility and alignment on key metrics and outcomes.** + **GenAI Measurement:** **Collaborate with analytics partners to define and track success metrics for Generative AI and agentic workflows, focusing on quality, trust, and customer value.** + **Continuous Improvement:** **Drive continuous improvement initiatives, identify opportunities for optimization, and recommend data-backed experiments to enhance platform performance.** + **Data Stewardship:** **Uphold best practices in data quality, governance, and sustainable observability infrastructure.** **Qualifications** + Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, Mathematics, or a related quantitative field. + 7+ years of combined academic and industry experience applying scientific methods to real-world, large-scale data problems. + Proven expertise in statistical analysis, experimentation design, and causal inference techniques. + Strong programming skills in Python or R, with proficiency in SQL (Hive/Presto/BigQuery experience preferred). + Demonstrated success building unified KPI frameworks, measurement pipelines, or analytics governance structures at scale. + Experience providing technical oversight to global analytics or data science teams. + Hands-on experience designing evaluation and measurement frameworks for Generative AI and agentic workflows, including conversational AI, AI assistants, and autonomous task orchestration. + Strong business acumen and ability to translate ambiguous questions into clear analytical frameworks, success metrics, and actionable insights. + Excellent communication skills with the ability to influence and collaborate effectively with senior leadership and cross-functional partners. Track record of embedding analytics into product and platform decisions that drive measurable business impact. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$103k-138k yearly est. 22d ago
Principal Data Scientist, Expert Network
Intuit 4.8
San Diego, CA jobs
Join the Intuit Customer Success team as a Principal Data Scientist within our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You'll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions. This is a mission-critical role requiring a strategic thought partner who brings cutting-edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross-functional leaders-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform. This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision. **Responsibilities** + **Advanced Predictive Modeling & Machine Learning:** Design, build, and deploy scalable models-including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling-to uncover high-impact growth opportunities and drive personalization. + **Experimentation Science & Design:** Own the end-to-end experimentation pipeline-from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification. + **Causal Inference:** Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. + **Metric Design & Impact Attribution:** Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative. + **Communication:** Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact. + **ML Engineering & Native AI:** Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience. + **Thought Leadership & Mentorship** : Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor. + **Strategic Influence:** Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation. **Qualifications** + Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. + 10+ years of progressive experience in applied data science roles with increasing scope and complexity. + Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications. + Expert-level proficiency in SQL as well as Python or R + Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX. + Deep understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment + Deep knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks. + Hands-on experience with data visualization tools like Tableau or Qlik. + Strong communication and storytelling abilities-adept at translating sophisticated analytics into strategic guidance. + Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California: $231,000-312,500 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$103k-138k yearly est. 53d ago
Staff Data Scientist
Intuit 4.8
San Diego, CA jobs
Come join the Global Business Solutions Group (GBSG) Sales Data Science team as a Staff Data Scientist. This role will be pivotal in shaping how we understand, grow, and retain our customer base. You will leverage data-driven insights to guide sales strategies, improve customer retention, optimize churn prevention, and enhance targeting efforts. The ideal candidate thrives at the intersection of data science and business strategy, collaborating closely with sales, marketing, and product teams to drive measurable impact on revenue growth and customer success. This is a high-impact role where your work will directly influence sales, product, marketing, and business model strategies. As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise-especially in sales analytics, causal inference and advanced analytics-will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth. **Responsibilities** + Drive Business Strategy through Data - Translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the Mid Market Sales Team + Cross-Functional Influence - Serve as the strategic data science partner to leaders across Sales, Marketing, Product, and Finance to drive mid-market account growth and expansion. Translate complex analytical findings into clear, compelling recommendations for executives and stakeholders. + Insights at Scale - Conduct deep-dive analyses on pipeline, win/loss, and customer lifetime value to inform strategic decisions. Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership. + Improve Customer Retention - Own retention and churn analytics, including designing metrics, identifying risk signals, and recommending interventions + Data Infrastructure & Governance - Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity. **Qualifications** + 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive sales growth ideally in Saas or financial technology companies serving consumer or B2B segments + Proven experience working with sales or go-to-market teams; deep understanding of customer retention, churn analysis, and sales optimization strategies + Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights + Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus + Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design + Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc. + M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$103k-138k yearly est. 53d ago
Staff Data Scientist
Intuit 4.8
San Diego, CA jobs
Intuit is harnessing the power of generative AI to transform how customers interact with financial services. We are seeking a **Staff Data Scientist** to partner closely with product, engineering, design, and data science teams to drive insights, define success metrics, and enable data-informed decisions for our AI Agents initiative. This role is critical in ensuring that our AI Agents are intelligent, trustworthy, and impactful for millions of customers worldwide **Responsibilities** **Strategic Impact** + Partner with product management, product development, research and design teams to define the data science roadmap for Intuit AI Agents, ensuring alignment with Intuit's overall AI strategy. + Translate business problems and requirements into analytical approaches and develop measurement framework to help team assess performance of a 0 to 1 product + Define, track, and evolve success metrics for AI Agent performance, customer adoption, and engagement. + Translate complex data into clear, actionable insights that inform product and strategy decisions. **Analysis & Experimentation** + Lead deep-dive analyses of product usage, customer behavior, and AI agent interactions to uncover opportunities for improvement. + Design, implement, and analyze A/B tests and experiments to measure feature effectiveness. + Develop dashboards and self-service tools to democratize data access and empower teams. **Collaboration & Influence** + Influence product roadmaps and strategy by presenting data-driven recommendations to leadership. + Mentor analysts across the org, fostering best practices in analytics and storytelling. **Data Infrastructure & Quality** + Partner with data engineering to ensure reliable pipelines and robust data governance for AI agent data. + Advocate for data quality, consistency, and accessibility across platforms. **Qualifications** + 5-7 years of experience working in product analytics + Highly proficient in A/B testing, SQL, Python and Tableau. Working knowledge in Amplitude or Qliksense is a plus. + Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms + Ability to narrate complex stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders. + Ability to manage multiple projects simultaneously to meet objectives and deadlines. + Proactive and inquisitive learner, seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances. + Strong organizational skills, time management, portfolio prioritization experience, and accountability required. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
$103k-138k yearly est. 53d ago
Staff Data Scientist, Product Efficiency & Data Infra
Fortinet 4.8
Santa Clara, CA jobs
We are seeking a highly skilled Staff Data Scientist to join our Product Workload & Efficiency Engineering team. This role will focus on leveraging advanced data science techniques to drive insights, optimize product workloads, and enhance infrastructure efficiency. The ideal candidate is a strategic thinker with a strong technical background, exceptional communication skills, and a proven track record of delivering data-driven solutions in a fast-paced environment. Responsibilities Partner with product, engineering, finance, sales, and customer success teams to model and forecast product workloads, define metrics, and build tools for planning. Design experiments and studies to reduce uncertainty in workload forecasts and optimize product/revenue flows. Analyze data to address business questions, generate insights using statistical methods, and present findings to stakeholders. Architect data models, pipelines, and applications to support workload data, finance and infrastructure teams. Develop and productionize metrics and dashboards for system availability, reliability, and performance. Conduct root cause and causal inference analyses of availability issues, recommending remediations. Shape data science areas like segmentation, recommendation systems, forecasting, and cost prediction. Analyze product usage to identify growth drivers and improvement opportunities. Manage stakeholders, define project OKRs, and communicate results effectively. Mentor team members and champion evidence-based decision-making with self-service data products. Represent data science across the organization and at conferences. Minimum Requirements Bachelor's or higher in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering). 8 -10+ years in analytics driving business decisions (e.g., product/marketing analytics, business intelligence). Proven ability to work independently and engage stakeholders proactively. Expertise in SQL, large datasets (e.g., Hadoop), statistical analysis, and techniques like regression. Experience with optimized data formats for analytics, such as Parquet, and potentially Apache Iceberg. Expertise in defining schemas, managing metadata, and crawling data sources. Proficiency in writing complex SQL queries to analyze data stored in S3-based data lakes. Integrate dbt with orchestration tools like Apache Airflow to automate, schedule, and monitor data pipelines that feed machine learning models. Proficiency in Python and strong communication skills. Ideal: 7+ years in data science/ML in high-growth tech; expertise in system reliability metrics, data pipelines (e.g., Airflow, Spark); familiarity with product analytics; strong coding (e.g., Python) and cross-functional collaboration skills; BS/MS/Ph.D. in quantitative field. Join us to drive innovation and impact through data science! The US base salary range for this full-time position is $190,000-$230,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
$190k-230k yearly Auto-Apply 60d+ ago