Reporting analyst jobs in San Jose, CA - 946 jobs

Order Management Coordinator Pay: $23-$28/hour Schedule: Hybrid - In-office Monday/Tuesday/Thursday A fast-paced supply chain team is seeking an Order Management Coordinator to support purchasing operations, vendor communication, and order accuracy. This role is ideal for someone who is highly detail-oriented, organized, and confident managing multiple priorities while maintaining exceptional communication. Key Responsibilities Create and process purchase orders for assigned business categories with accuracy and timeliness. Track and follow up on shipping and receiving status with suppliers and warehouse teams. Monitor order fulfillment and shipment progress, providing updates to internal stakeholders. Maintain up-to-date and accurate information on purchase orders including quantities, ship dates, costs, and item descriptions. Resolve order delays by managing past-due POs and conducting consistent supplier follow-ups. Build a reputation of reliability by responding to vendor and internal inquiries promptly-within 24 hours. Run weekly and monthly reports to support purchasing and planning activities. Perform additional projects and administrative tasks as assigned. About You Previous experience in data entry or order processing. SAP experience is a plus. Proficient in Excel, Word, and Outlook. Strong prioritization skills with the ability to multitask in a dynamic environment. Highly organized with excellent attention to detail. Clear written and verbal communication, with the ability to interact effectively at all levels. Collaborative and team-oriented, with a positive attitude toward change. Self-motivated, dependable, and able to think independently. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ******************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance

Title: Financial Analyst Duration: 6 month contract to hire Client Industry: Retail We are seeking an intellectually curious and self-motivated Senior Financial Analyst to join the Corporate Financial Planning & Analysis (FP&A) team. This role is critical in driving long-term growth and financial results through forecasting, budgeting, reporting, and strategic analysis. The Senior Financial Analyst will provide insights to senior leadership and partner effectively across the organization to influence decision-making. Must-Haves Education: Bachelor's degree in an analytical field with strong academic performance. Experience: 3-5 years post-college experience in financial analysis and planning (preferably within retail or corporate FP&A). Technical Skills: Advanced Excel and financial modeling. Proficiency in PowerPoint. Ability to learn and use financial systems (e.g., PowerBI, MicroStrategy, Hyperion, Peoplesoft Financial Systems). Analytical Ability: Strong capability to synthesize data, reconcile work, and design analyses to answer specific questions. Detail Orientation: High attention to accuracy and quality. Character: Unquestionable integrity and ability to handle confidential information. Communication: Clear and effective verbal and written communication skills. Work Environment: Ability to work in-office regularly with hybrid flexibility. Plusses CFA or MBA. Experience in retail industry. Familiarity with Flash Sales reporting tools. Forward-thinking, resourceful mindset with comfort in ambiguity. Strong problem-solving skills and ability to manage changing priorities. Compensation: $40.00-50.00/HR Conversion Salary Expectations: $100,000/YR

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. The Business Analyst - Process Automation plays a key role in improving operational efficiency through automation and process optimization. This role bridges business strategy and technology by analyzing workflows, identifying automation opportunities, and implementing scalable solutions using low-code/no-code tools. The ideal candidate is detail-oriented, analytically minded, and adept at engaging with business leaders to translate process challenges into automation requirements. This role requires strong business acumen, cross-functional communication, and proficiency in process automation platforms such as Zapier, Power Automate, UiPath, or Workato. Essential Job Duties and Responsibilities * Partner with business leaders to analyze, document, and improve business processes through automation initiatives. * Identify and prioritize automation opportunities by assessing ROI, complexity, and alignment with business goals. * Design, test, and deploy automated workflows using tools such as Power Automate, Workato, or UiPath StudioX. * Create and maintain detailed process documentation, SOPs, and automation governance guidelines. * Collaborate with IT and Engineering to ensure automations meet security, compliance, and integration standards. * Monitor, measure, and report on automation performance, adoption, and process improvements. * Train and support end users and business teams on automation best practices and process improvement tools. Required Skills, Knowledge, and Abilities * 3-5 years of experience in business analysis, process improvement, or operational excellence. * Hands-on experience with one or more process automation platforms such as Power Automate, UiPath StudioX, Workato, or Zapier. * Certifications in relevant platforms (e.g., Zapier Expert). * Strong understanding of business process modeling, workflow design, and change management principles. * Ability to analyze complex processes, identify inefficiencies, and develop data-driven recommendations. * Experience gathering and documenting requirements from multiple business stakeholders. * Excellent communication, facilitation, and stakeholder management skills. * Strong problem-solving, analytical, and critical-thinking abilities. * Proficiency with Microsoft Office Suite, Jira, and Lucid Chart (or equivalent tools). Preferred Skills: Lean Six Sigma Green Belt or Black Belt certification (preferred).Familiarity with CRM, ERP, or ticketing systems such as Salesforce or ServiceNow.Experience working in financial services, fintech, or operations-heavy environments. $121,000 - $141,000 a year In addition to the above salary, this role may be eligible for a bonus. Additional Information Regarding Job Duties and s: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Title: AI Data Center Operations Contractor Job Type: Contract (6 - 12 months) Work Model: Onsite America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Position Overview: SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This specialized role demands extensive operational experience managing high-performance computing environments that support AI/ML workloads. The ideal candidate brings knowledge of running AI data centers at scale, with demonstrated expertise in power management, thermal control, preventive maintenance protocols, and incident response procedures specific to GPU-intensive infrastructure. Responsibilities: * Optimize AI Infrastructure Performance: Apply your operational expertise to enhance the performance, reliability, and efficiency of our AI computing systems. Ensure continuous availability of critical infrastructure while managing the unique demands of high-density AI workloads - including extreme power consumption, elevated thermal output, and advanced cooling requirements. * Monitor & Manage Critical Systems: Lead daily operations by monitoring real-time power consumption across GPU clusters, proactively managing cooling systems to maintain optimal thermal conditions, and coordinating water resource use for cooling infrastructure. Develop and refine AI-specific Standard Operating Procedures (SOPs) to empower teams to respond swiftly and effectively to routine maintenance and emergency situations. * Ensure Regulatory Compliance: Maintain strict adherence to operational permits, environmental regulations, and industry certifications. Conduct regular facility audits, serve as the primary liaison with regulatory inspectors and utility providers, and ensure all operational activities remain fully aligned with permit conditions and certification standards. * Lead Technical Optimization Initiatives: Serve as the technical lead in implementing power and thermal management strategies that balance peak performance with energy efficiency. Optimize cooling distribution to eliminate thermal hotspots and strategically schedule maintenance windows to minimize disruptions to AI training and inference workloads Continuous Contribution Areas: * Identify efficiency improvements and develop enhanced monitoring capabilities to support AI workload management. * Establish best practices for operational workflows and create comprehensive documentation for critical procedures. * Implement automation where appropriate to reduce manual intervention and improve operational consistency Qualifications: * Demonstrate concrete operational capabilities through hands-on experience managing AI or high-performance computing data centers. * Minimum 5 years of data center operations experience, including at least 2 years focused specifically on AI/ML infrastructure operations. * Direct experience managing facilities supporting GPU clusters with power densities exceeding 30 kW per rack. * Deep operational knowledge of cooling systems in AI/ML environments - including liquid cooling, chilled water systems, and advanced thermal management technologies. * Proven ability to maintain target operating temperatures in high-density compute environments and troubleshoot cooling system failures under pressure. * Comprehensive understanding of power management - including UPS systems, generator operations, PDU management, and electrical load balancing. * Skilled in reading and interpreting electrical diagrams, coordinating with utility providers during planned/unplanned outages, and implementing emergency power protocols. * Expertise in permit compliance and certification maintenance - including environmental permits, water discharge permits, air quality regulations, and ongoing certifications such as ISO or Uptime Institute operational sustainability standards. Preferred Qualifications: * Bachelor's degree or equivalent practical experience * Technical depth paired with operational pragmatism - combining hands-on facility management with strategic thinking. * Experience working in 24/7 operations teams, responding to critical incidents, and maintaining uptime targets exceeding 99.9% in demanding environments. * Ability to balance performance requirements with cost efficiency - with a strong commitment to safety and compliance. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $110,000-$160,000 USD

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

+ We are seeking a highly skilled data quality expert with a strong understanding of Large Language Models (LLMs) to join our team as a Quality Analyst for Human-created Data. + In this role, you will liaise closely with the highly technical modeling teams as well as vendor leads, understand the data needs of LLM modeling teams, and ensure that the data produced by expert content creators meets the highest quality standards. + You'll need a strong ability to understand LLM use cases, have a nuanced understanding of good versus great content, and be able to use quantitative and qualitative techniques to analyze LLM datasets. **Responsibilities:** + Ensure high quality during task development: + Define data requirements based on a deep understanding of the modeling team goals and study of model loss patterns. + Design detailed instructions for content creator teams, illustrating nuanced differences with clear examples. + Rapidly iterate with content-production vendors on small batches of data to arrive at desired data quality. + Measure and demonstrate data quality during data collection: + Drive processes to deliver benchmark datasets for assessing data quality. + Benchmark vendor data quality against competitor models. + Use quantitative techniques to analyze vendor-produced data to assure high quality and drive rater pool optimization. + Audit datasets for quality issues and develop tools for accelerating qualitative analysis. + Use modeling and experimentation techniques to demonstrate data impact and identify blind spots. + Communicate on data quality: + Send out regular reports to project stakeholders on data quality. + Track key metrics such as iteration time and vendor quality audit results. + Author best practices and guideline documents (e.g. guidelines for teams wanting to work with vendors for human data, best practices for instruction design, etc). **Experience:** + 3+ years of experience in Technical Writing, Quality Assurance or a related field. + Excellent writing and editing skills, with the ability to adapt to different styles and tones. + Strong analytical and problem-solving skills. + Ability to work independently and as part of a team. **Skills:** + Data Quality + LLM processes like Pre-training, RLHF, SFT, Evals **Education:** + Bachelor's degree in English, Creative Writing, Linguistics, Science, Computer Science, or a related field. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a Staff Data Analyst to join our Data Science and Analytics team, focusing on Vehicle Quality and Reliability. This role is a senior technical leader central to our mission, responsible for defining the strategy and architecting the end-to-end data ecosystem that transforms raw vehicle and manufacturing data into actionable insights and predictive models. From the assembly line to the end of the trail, you will be the principal driver of data solutions that safeguard and enhance Rivian's product quality. On our team, you will be instrumental in defining the next generation of data products that provide unparalleled, real-time insight into the reliability and performance of Rivian products. Rivian aims to set industry standards in quality and reliability, and this starts with the data foundations you will build and govern. Responsibilities Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance. Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data. Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI). Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards. Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production. Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers. Qualifications Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions. Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures. Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms. Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect). Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment. Education: A Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics). Pay Disclosure Salary Range/Hourly Rate for California Based Applicants: $149,7000-$187,100 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions. Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures. Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms. Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect). Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment. Education: A Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics). Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance. Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data. Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI). Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards. Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production. Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers.

About the Team The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI's breakneck shipping cadence and growth-and the expectation that it will only accelerate-transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI. About the Role We're seeking a User Operations Data Analyst who will dig deep into user‑support data-surfacing trends, volumes, and friction signals-and turn these findings into actionable insights and always‑on reporting. You'll design, build, and maintain self‑serve dashboards that keep every stakeholder informed in real time, partnering closely with Data Science and Engineering to ensure clean pipelines, robust models, and scalable tooling. Think proactive friction detection and real‑time service‑health views that help us stay ahead of demand-delivering decision‑grade insights, not just prettier slide decks. This role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Explore large support and product datasets to uncover trends, volume drivers, and user‑experience pain points, distilling findings into clear, actionable narratives. Build, enhance, and maintain self‑serve dashboards and reporting tools, enabling non‑technical teams to answer their own data questions. Establish a unified metrics taxonomy for service‑health and performance-and build automated data‑sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real‑time view of success Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes-powering smarter routing, richer self‑serve insights, and swifter root‑cause analysis. Partner with Data Engineering to ensure reliable pipelines, implement data‑quality checks, and document sources of truth. Jump into high‑priority special projects to conduct bespoke deep‑dive analyses and deliver clear, strategic recommendations to leadership. Prototype quickly-leveraging ChatGPT, Jupyter notebooks, Retool, and other tools-to prove value before hardening with Engineering. Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations. You might thrive in this role if you: 8 + years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams. Expert‑level SQL skills and proficiency in Python or R for advanced analysis and automation Hands‑on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self‑serve usability. Hands‑on experience fine‑tuning or prompt‑engineering LLMs to build text classifiers, sentiment analysis, or tagging systems. Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non‑technical audiences. Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs. Strong cross‑functional communication skills-comfortable collaborating daily with engineers, data scientists, and operations leaders. An eye for detail, a zero‑defect mindset, and a bias toward action over theoretical perfection Possess a strong bias for automation and can defend governance decisions that keep data and processes healthy as they grow. Thrive in a fast‑moving, ambiguous environment where priorities can shift quickly. #LI-NM2 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Blizzard Media Activision Blizzard Media ('ABM') is a rapidly growing business crafted to connect advertisers with our 400MM+ global player base across Activision, Blizzard, and King. Are you interested in crafting powerful marketing solutions embraced by the world's biggest marketers? If you answered yes, then our Staff Data Analyst role may be the right role for you! Your Role Within the Kingdom At Activision Blizzard Media, we seek a passionate and skilled Staff Data Analyst to push the boundaries of mobile games analytics and advertising product performance, focusing on deep-dive analyses and applying statistical methods to solve complex business problems. Responsibilities * Perform in-depth analyses on large-scale datasets, uncovering actionable insights that drive business performance. * Lead the design, execution, and analysis of A/B tests and experiments, applying statistical rigor to assess performance. * Interpret complex data using statistical methods and effectively communicate results to both technical and non-technical stakeholders. * Collaborate closely with Product Managers, Data Scientists, Engineers, and Commercial leaders to develop insights that support product enhancements and business decisions. * Build and maintain clear and concise documentation related to analyses, findings, and methodologies. * Provide recommendations based on data-driven insights, helping senior management and department leaders translate findings into actionable strategies. Skills to Create Thrills * 12+ years of professional experience focusing on Advertising, Gaming, e-commerce, or high-volume systems or equivalent combination of advanced degree (e.g., PhD, Postdoc) and professional experience demonstrating comparable impact and expertise. * Masters or PhD in Mathematics, Statistics, Data Science, Economics, or a related analytical field (Bachelors required). * Proficiency in complex SQL for deep-dive analysis. * Strong statistical skills with experience in A/B testing, hypothesis testing, regression, and other statistical methods. * Proficiency in an analytical programming language such as Python or R, primarily for statistical analysis and data manipulation. * Proven ability to structure complex problems, conduct thorough analyses, and generate actionable insights from large datasets. * Dedicated advocate for the use of data to solve problems. * Curious, internally motivated self-starter with the ability to plan, organize, and establish priorities to manage multiple projects and achieve results. * Excellent communication skills, with experience in presenting analytical findings to both technical and non-technical audiences. Preferred Qualifications * Demonstrated experience with experimental design, data modeling, predictive modeling, and advanced statistical techniques. * Domain knowledge in advertising or gaming is a strong plus. * Expertise in at least one data visualization tool (e.g., Looker, Tableau) We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: * Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; * 401(k) with Company match, tuition reimbursement, charitable donation matching; * Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; * Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; * If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $111,780.00 - $206,882.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

SUMMARY: The Minimum Data Set (MDS) Coordinator is responsible for the timely and accurate completion of the Federal and State assessment tool. Performs related duties as required. DUTIES & ESSENTIAL JOB FUNCTIONS: NOTE: The following are the duties performed by employees in this classification. However, employees may perform other related duties at an equivalent level. Not all duties listed are necessarily performed by each individual in the classification. 1. Physically assess each resident and interviews staff as necessary to ensure good standard of practice and as instructed in the Minimum Data Set User's Manual. Coordinates scheduling and notice of resident care planning conferences and ensures communication of outcomes/problems to the responsible staff or resident. Designs, promotes and organizes Resident education and counseling based on health needs. Ensure all MDS information and care delivered is as outlined in the care plan and supported by documentation. 2. Facilitates accurate determination of the Assessment Reference Date; Provides interdisciplinary schedule for all Minimum Data Set assessments and care plans as required by OBRA and PPS. 3. Assists Case Manager with the transfer of patients to other health care providers or to home. Transfer responsibilities include determining the appropriate level of care placement in collaboration with the physician, patient, and family, if appropriate; discussing available insurance benefits with the health care team following verification by the Business Office; obtaining required authorizations and ordering/or arranging for DME, SNF, and transportation; and referring personal payment issues to the Financial Analyst as soon as possible to minimize reimbursement. Obtains appropriate signatures as required. 4. Ensures that the Interdisciplinary team makes decisions for either completing or not completing additional MDS assessments based on clinical criteria as identified in the most recent version of the RAI User's Manual. 5. Assesses for significant changes using the 24 hour report, physician orders, and verbal reports to ensure that the Minimum Data Set and care plans are reflective of those changes. Communicate needed changes in PPS Timeliness and Assessment Reference Dates and deficiencies in completion of Minimum Data Set, RAPS, and care plans. 6. Corrects and ensures completion of the final Minimum Data Set and submits resident assessment data to the appropriate State and Federal government agencies. Ensures timely submission of the MDS's to the State with proper follow up on validation errors. Maintains validation records from the submission process in a systematic and orderly fashion. 7. Assigns, assists, and instructs all staff in the RAI Process, Case-Mix, PPS Medicare, Medicaid, and the clinical computer system in relation to these processes. 8. Responds to Resident and family concerns; ensures that each concern is documented and a resolution is initiated and presented weekly at Medicare or Utilization Review meetings. MININUM QUALIFICATIONS: Education: Graduate of accredited school of nursing. Minimum Experience: Minimum one year clinical experience in a hospital, long term care facility, or other healthcare related facility. Preferred Experience: Previous experience as an MDS Coordinator; including completing Minimum Data Set (MDS) and Care Plans and experience with PPS and OBRA assessments. Required Licenses/Certifications: Valid license to practice as a Registered Nurse in the State of California. Required Licenses/Certifications: Minimum Data Set (MDS) certification or to receive MDS certification within 6 month of job offer. Required Licenses/Certifications: BLS - Basic Life Support Certification 0- issued by AHA - American Heart Association.

Expertise in SQL skills to profile the data. Analyse, Profile and systematically present the data for Business and management team understanding. ETL development and Data Migration tasks Interpreting the functional aspect of data & reporting aspect of data. Present the data to business and the consumers of the data which qualifies the scope and highlight gaps/issues on data from Source. Identifying patterns and trends in data sets Working alongside teams within the business, Solution team or the Technical team to establish business needs. Documenting the data mapping rules for migration. Skills and experience Skills- 1+ years of experience in Data Analysis & Development experience Junior role 3+ years of experience in Data Analysis & Development experience Mid role Have solid consulting ability across SSIS, SSRS, and expert in data profiling/analysis, SQL, and data deduplication/cleansing processes Strong Problem-Solving Skills Ability to analyze and critically evaluate gathered information to resolve conflicts, anticipate issues and make priority decisions. You will have ideally worked within a client-facing capacity, with the interpersonal and communication skills to manage and influence key relationships with stakeholders. Experience in Health Cover and insurance domain desirable not mandatory. Qualification- Relevant degree in IT industry Certification in Relevant Technologies

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education : Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************

The closing date for applications is Dec 31st at 5pm PT. We will review every application and speak to the shortlist we make based on the applications. About this Role: Our First Embedded Data Analyst! 👋 Hi, I'm Kevin. I manage the Data Team and our analytics products at Ashby. As Ashby continues to grow, we are expanding the reach of high-quality analytical work across the company. This role is our first embedded Data Analyst: you will be a full member of the Data Team, but your day-to-day priorities will come from our Revenue Operations (RevOps) organization to support the entire Go-to-Market (GTM) function. This is not a generic “business analyst” role - this is a modern Data Analyst role requiring fluency in the data warehouse, strong analytical rigor, and the ability to work end-to-end (from raw or lightly modeled data through final insight, modeling adjustments, and BI deliverables). Your analytical standards, modeling practices, and approach to problem-solving will be developed and maintained in close partnership with the Data Team, while your project portfolio will be shaped by RevOps. As an embedded analyst, you will serve as the analytical counterpart to RevOps leadership: helping to scope business questions, build robust data assets, design metrics and dashboards, and communicate insights that influence GTM strategy. A strong working knowledge of GTM motions in B2B SaaS will help you excel, though deep curiosity and strong fundamentals can also make up the difference. Because this role sits at the intersection of RevOps and the Data Team, you'll have broad ownership and visibility across domains. You will work on everything from revenue funnel diagnostics and sales efficiency analyses to marketing cohort performance, capacity planning, retention/expansion patterns, and operational metrics that help our GTM leaders run the business. You will also contribute to the underlying data models and help mature the analytical operating system for GTM at Ashby. If you're a technically strong Data Analyst who enjoys owning the full analytical lifecycle, partnering directly with business stakeholders, and improving the modeling and data products that sustain an organization, this role will be an excellent fit. Requirements The essence of this role dictates that you must be analytical, conversant in statistical reasoning, and capable of managing the data you work with from inception through synthesis of results in the appropriate downstream assets. There are a lot of ways to meet those responsibilities. If the dot product of your skill vector with this requirements vector is close to 1, please consider applying, but please note it does not have to be 1.0. Expertise in SQL-based data analysis Strong in analytical and statistical thinking - you must be able to generate insights Expertise with data visualization (i.e. visual communication of results) Interest in working directly with business partners, i.e. go-to-market stakeholders, to identify and plan related analysis efforts Proficiency building internal “data products” based on your analysis results, e.g. high-usage dashboards via BI tools (Looker, Tableau, etc) for various business partners Excellent written and verbal communication. Ashby has a writing-centric culture, but you will also be responsible for direct collaboration with various teammates Very detail-oriented: in your analysis work you can anticipate complications and identify bad-but-not-obviously-wrong data discrepancies Proficiency in Python (primarily in the domain of data analysis and visualization) You could be a great fit if You identify as exceptionally curious by nature You want to operate as a true Data Analyst embedded in a business function-combining stakeholder-facing work with deep technical execution You could pass as an “analytics engineer” or have working proficiency in dbt-based data modeling You have been a first or early data analyst at a growing, fast-moving startup You have strong working knowledge of GTM motions in B2B SaaS: sales, marketing, customer success, pipeline forecasting, and revenue analytics You have an intuition for solving problems pragmatically and an eye for leverage You enjoy collaboration and find reward in enabling other teammates to succeed You have strong, experience-backed opinions about data products and data culture in a company setting Familiarity with our data stack is a bonus, but not a requirement Have a passion for refining the role of data within company environments, spanning everything from communication standards and data request management - you'll help shape this as Ashby grows You can appreciate the whole distribution as much as a point estimator Reasons not to apply Spreadsheet-only analytical backgrounds are not a match for this role; fluency with SQL in a modern data warehouse is essential. You do not enjoy working directly with non-analysts or other business stakeholders. This role will require working closely with teammates across the company as various data-related needs come up. You are looking for consumer-scale data infrastructure projects. We have a huge and interesting set of data to work with (check out our data trends reports!), but we are a B2B SaaS company. Relative to B2C services, we might best be considered small but mighty :) You are seeking an in-person work experience. Although there are hot spots of Ashby employees around the world, Ashby is a remote workplace. Rest assured, we do meet up in person for various events throughout the year! You want to be on a large team of analysts. The Data Team at Ashby is extremely lean, so you will be primarily working with a data engineering partner, our first data analyst, and your manager (me!). That said, you will be working directly with many team members across the company, so your teammates in the analysis sense will be the diversity of folks you collaborate with from project to project. Data Culture at Ashby At Ashby, we draw a clear distinction between when to look to data for "the answer" and when to use data to aid principled thinking for decision making. In general, a primary consideration is whether or not data is needed to help clarify points of uncertainty. When data is considered necessary, a secondary consideration is to what depth data will be required. Data questions lend themselves to ongoing "what about..." or "what if..." explorations, which can be important in some situations but are not always necessary. With these dynamics in mind, we do not foster an environment where every decision we make should be backed by data, but we do foster an environment where teammates ask whether or not data will fit the task at hand well. This, in turn, allows us to operate a lean team focused on projects where data provides true leverage to our overall business and product goals. As a related but distinct point, Ashby's data culture, as far as transparency and access goes, is very open. We share company-wide access to our financial standings, progress, goals, and generally make any data and reporting results broadly available. Outside of constraints related to whether a teammate has access to a particular tool, there are close to no constraints on access the state of the company as told by data or reporting. In general, we would like to continue and extend open access to data throughout the company (with your help!), but with consideration and not as a substitute for principled thinking :) Ashby's Data Stack As it will undoubtedly be a point of interest, a quick summary of our data stack is provided here. Our production database is postgres, which we integrate into a Snowflake data warehouse via Polytomic. All other business systems are integrated via Fivetran (the GTM stack involves HubSpot as our CRM and Stripe, most notably). We use Prefect for orchestration and dbt for data modeling. Frontend event tracking is done via Rudderstack. Data visualization and reporting varies, but the broader company is primarily served standardized analytics via Omni Analytics. For version control we use Git/Github (and Github Actions for CI/CD). As an Analyst, you'll be at liberty to work in a notebook or tool of your choice, but Hex is the burgeoning standard and likely recommendation. Internal documentation lives in Slab and dbt docs. A core part of the data stack at Ashby is the actual people! As mentioned, we are a lean team, and the current structure is myself as the manager, a single data engineer and two data analysts. You would be our third data analyst joining the team, and the first data analyst embedded in the Go To Market organization. All members of the Data Team maintain a strong sense of ownership and agency in their work, but the broader responsibility comes with broader leeway. Interview Process Our interview process is thorough. We aim to ensure each person that joins the team is the right fit for Ashby and will provide ample information for you to assess if Ashby is the right fit for you. The process for this role is as follows: Hiring Manager Screen (30 mins) Take Home Assignment: Mini Analysis and Write-up (~3-4 hours) Final Round - Virtual Onsite (~2.5, can be split into multiple days) (45 mins) Analysis Projects Deep Dive (30 mins) Working with Data Engineering (30 mins) Working with Go-to-Market Stakeholders (30 mins) Chat with a Founder (15 mins) Follow-Up Conversation + Debrief with the Hiring Manager Note: please do not reach out to the broader Ashby team requesting more information or time to connect. We will diligently review all applications in detail after the public posting period is over. Benefits Competitive salary and equity. 10-year exercise window for stock options. You shouldn't feel pressure to purchase stock options if you leave Ashby -do it when you feel financially comfortable. Unlimited PTO, and we will encourage you to take it. A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. If you're in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby's success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We're being deliberate about building that environment from the ground up. I hope that excites you enough to apply. If you've made it this far and are excited about Ashby, please apply and follow us on LinkedIn to stay up to date! Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel. Job Category In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners. You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment. You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Responsibilities Analyze user interaction and outcomes data to identify trends, opportunities, and insights that drive business results. Ensure that data used for analysis is accurately modeled to solve for a variety of business questions that can span multiple sources of information. Partner with senior analysts to design, size, prioritize and execute tests to measure impact of new strategies. Translate findings into clear and actionable outcomes for business decision making. Support ongoing campaign and portfolio analysis across multiple product types. Assist in improving data processes, accuracy, and accessibility across teams. Requirements 3+ years of experience in a data or marketing analytics role. Bachelor's degree in Statistics, Economics, Data Science, Mathematics, or a related field. Excellent attention to detail and ability to execute on parallel workstreams. Strong quantitative and problem-solving skills with an ability to interpret data clearly. Proficient in the use of SQL to access and summarize data through analytical queries. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Proficiency in Excel. Strong written and verbal communication skills; able to summarize technical findings for business audiences. Interest in financial services, insurance, or digital marketing analytics preferred. The expected salary range for this position is $85,000 USD to $120,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. #LI-REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet's Employee Privacy Notice here.

Qualified candidates need to be self motivated and have solid written and verbal communication skills. Should have Bachelors Degree and 1-2 years of related experience. Experience in accounting or finance is a plus, but not required. Volt Services Group is an Equal Opportunity Employer with a commitment to fostering diversity in the workplace. For more job opportunities with Volt please visit our website at Qualified candidates need to be self motivated and have solid written and verbal communication skills. Should have Bachelors Degree and 1-2 years of related experience. Experience in accounting or finance is a plus, but not required. Volt Services Group is an Equal Opportunity Employer with a commitment to fostering diversity in the workplace. For more job opportunities with Volt please visit our website at

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. The Business Analyst - Process Automation plays a key role in improving operational efficiency through automation and process optimization. This role bridges business strategy and technology by analyzing workflows, identifying automation opportunities, and implementing scalable solutions using low-code/no-code tools. The ideal candidate is detail-oriented, analytically minded, and adept at engaging with business leaders to translate process challenges into automation requirements. This role requires strong business acumen, cross-functional communication, and proficiency in process automation platforms such as Zapier, Power Automate, UiPath, or Workato.Essential Job Duties and Responsibilities Partner with business leaders to analyze, document, and improve business processes through automation initiatives. Identify and prioritize automation opportunities by assessing ROI, complexity, and alignment with business goals. Design, test, and deploy automated workflows using tools such as Power Automate, Workato, or UiPath StudioX. Create and maintain detailed process documentation, SOPs, and automation governance guidelines. Collaborate with IT and Engineering to ensure automations meet security, compliance, and integration standards. Monitor, measure, and report on automation performance, adoption, and process improvements. Train and support end users and business teams on automation best practices and process improvement tools. Required Skills, Knowledge, and Abilities 3-5 years of experience in business analysis, process improvement, or operational excellence. Hands-on experience with one or more process automation platforms such as Power Automate, UiPath StudioX, Workato, or Zapier. Certifications in relevant platforms (e.g., Zapier Expert). Strong understanding of business process modeling, workflow design, and change management principles. Ability to analyze complex processes, identify inefficiencies, and develop data-driven recommendations. Experience gathering and documenting requirements from multiple business stakeholders. Excellent communication, facilitation, and stakeholder management skills. Strong problem-solving, analytical, and critical-thinking abilities. Proficiency with Microsoft Office Suite, Jira, and Lucid Chart (or equivalent tools). Preferred Skills: Lean Six Sigma Green Belt or Black Belt certification (preferred). Familiarity with CRM, ERP, or ticketing systems such as Salesforce or ServiceNow. Experience working in financial services, fintech, or operations-heavy environments. Additional Information Regarding Job Duties and s: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Qualifications Required qualifications: • At least 5 years of IT related experience • 3-5 years working with databases with demonstrated expertise in SQL, PL/SQL, Oracle 11, ETL tools, Data conversion, Data De-duplication, Data Cleansing methodologies • Be able to build SQL data queries • Demonstrated experience in analyzing data sets and Effective at understanding a problem and developing one or many approaches to solving the problem. • Assist in designing, planning and managing the data migration process. • Work with subject matter experts and project team to identify, define, collate, document and communicate the data migration requirements. • Experience in Data Migration methodologies • Highly effective working in a team, as well as working independently. • Perform source system data analysis in order to manage source to target data mapping. • Perform migration and testing of static data and transaction data from one core system to another. • Perform data migration audit, reconciliation and exception reporting. • Assist with the identification of trends or patterns in complex data sets • Filter and “clean” data, and review reports, printouts, and performance indicators Create Test Plans and Test Cases for all scenario types and execute. (i.e. positive, negative testing, boundary) Verify requirement traceability from System Requirements through test cases and defects Ensure that testing activities will allow applications to meet business requirements and systems goals, fulfil end-user requirements, and identify and resolve systems issues Work with the developers to understand the technical requirement/design being built in a project Validate Test Preparation of environments and verify all teams are aligned with what needs to occur to build/prepare the test environments Coordinate, track and report regularly on execution of system testing Verify defects are effectively recorded, communicated and understood Analyze and ensure test results and changes/defect are reflected in the test case and test cases are updated appropriately based on resolution Identify and recommend process improvements as necessary Excellent written and oral communication skills Excellent listening and interpersonal skills (includes but not limited to peers, managers, and the business) Excellent organizational skills to manage a wide array of testing information Strong knowledge of system testing and software quality assurance best practices and methodologies Additional Information Thanks & Regards, Saikat Ghosh Senior Technical Recruiter Desk: ************** Ext. 7452 Direct: **************

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education: Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************