Junior data analyst jobs in Santa Rosa, CA

We're seeking a Data Analyst for our Transportation department to support our dynamic and growing transportation ecosystem. This role focuses on managing backend platforms, ensuring data integrity, supporting compliance, and enhancing the commuting experience for employees. Responsibilities: Provide operational support across transportation and mobility systems, ensuring day-to-day functionality, accuracy, and alignment with program policies. Generate recurring ridership, parking, and usage reports (e.g., PPPM, occupancy dashboards) Monitor and triage inquiries submitted through internal support channels (email, Slack, JIRA, etc.), escalating as needed to appropriate teams. Generate recurring utilization, ridership, parking, and usage reports Support documentation of operational workflows and partner playbooks Collaborate with field leads and workplace teams to ensure systems are functioning correctly Required Skills: 2+ years of experience in an Analyst or Analytical role Familiarity with enterprise platforms Excellent analytical & data skills Intermediate Excel skills (Pivot Tables, VLOOKUP, simple modeling) Excellent organizational and documentation skills Quick learner with high discretion, able to handle sensitive operational issues (e.g., parking equity, ride disputes, billing escalations) with professionalism and limited supervision. Preferred Qualifications: Experience with budgeting or contract tracking tools Background in workplace operations, facilities management, or mobility-related programs, with an understanding of cross-functional coordination. Familiarity with transportation-related compliance frameworks, such as commuter benefit policies, fringe benefit taxation, or regional mobility regulations. Pay Rate: $28-$32.50 ** Onsite expectations are 5 days a week in our San Francisco office

Emonics LLC is seeking an enthusiastic and motivated Entry-Level Machine Learning Engineer to join our growing data science team in Dallas, TX. The ideal candidate will have a foundational understanding of machine learning concepts, data analysis, and software development practices, with a strong desire to learn and grow within a dynamic and collaborative environment. Key Responsibilities Assist in developing, training, and deploying machine learning models and algorithms. Collaborate with data scientists and software engineers to collect, clean, and preprocess large datasets. Support the design and implementation of scalable data pipelines and ML workflows. Conduct model performance testing and optimize algorithms for accuracy and efficiency. Participate in code reviews, documentation, and version control practices. Stay up to date with emerging trends and tools in AI, ML, and data engineering. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic knowledge of machine learning concepts (supervised, unsupervised learning, etc.). Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Understanding of data manipulation and analysis using Pandas, NumPy, or SQL. Strong analytical, problem-solving, and communication skills. Eagerness to learn new technologies and contribute to a team environment. Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP). Experience with version control systems (Git/GitHub). Knowledge of data visualization tools (Matplotlib, Seaborn, or Power BI). Internship or project experience in data science or machine learning. What We Offer Competitive entry-level salary and comprehensive benefits package. Professional development and mentorship opportunities. Collaborative and innovative work environment. Opportunities to work on real-world AI and ML projects that make an impact. How to Apply Interested candidates can apply by submitting their resume and a brief cover letter highlighting relevant coursework, projects, or experience to:

Hello Professionals, Cogent Data Solutions LLC is hiring for a Sr. Business Systems Analyst (Data Analyst) position with one of our direct clients. Check out the details listed below. I look forward to hearing back from you. Have a great day! Job Title: Sr. Data Analyst Experience: 10+ years Client Name: Judicial Council of California Job Location: San Francisco, CA Job ID: WORF#: RAD 25003 Job Description: Ability to analyze issues from system documentation and recommend solutions. Experience managing technical projects, including conflict resolution, issue escalations, status reporting and resource management. Experience creating and executing data mappings and scripts to clean, compile and analyze data Experience developing and implementing testing protocols for data and system quality Experience in R, Stata, and SQL. Experience with data visualization and software such as Tableau and Power BI. Excellent oral, written, analytical and communication skills with the ability to lead a technical discussion to both technical and non-technical staff. Excellent analytical, verbal and conflict resolution skills. Additional Skills/Qualifications Desired: Understanding of courtroom operations and workflow. Experience in government (State) setting Excellent presentation skills for both technical and non-technical audiences, including creating and presenting executive summaries to management and technical committees. Use initiative and independent judgement within established procedural guidelines. Technical: Exposure and experience with Cloud computing. Conceptual understanding of Amazon Web Services, Microsoft Azure, Google Cloud, IBM and Oracle Cloud Platforms. Prior experience using Snowflake Experience using SQL or other database query languages

Forget what you know about old-school industry rules. When you work at Old Navy, you're choosing a different path. From day one, we've been on a mission to democratize fashion and make shopping fun again. Our teams make style accessible to everyone, creating high-quality, must-have fashion essentials for the whole family, with love, season after season. We opened our first store in 1994 in San Francisco and have been on a roll ever since. We cultivate a community of playful personalities that thrive in a fast-paced environment where our employees can be their most authentic selves. Here, we're family. About the Role At Old Navy, we believe in the power of color - it's how we express optimism, creativity, and confidence through every style we create. As a Color Analyst, you'll help bring that vision to life by ensuring print color across every collection is consistent, vibrant, and true to our brand. The Color Analyst will report to the Color Manager sitting within the Fabric R&D Team and will focus on the technical and operational aspects of color development and ensure print color quality. This role will partner closely with our product development, print design, and color concept teams, to deliver color accuracy and quality across a range of substrates and print techniques. You'll use your visual expertise and quality judgment to ensure each print meets the approved color standard and creative intent. You're detail-oriented, technically skilled, and passionate about color. You have an exceptional eye for shade accuracy and print quality, thrive in a fast-paced, dynamic environment, and communicate clearly across teams and global vendors. You're a collaborator who loves problem-solving and takes pride in transforming creative color inspiration into production-ready results that represent Old Navy's fun, inclusive, and confident style. What You'll Do Execute company-wide procedures and standards regarding color approval for production. Evaluate and comment on Print strike offs across the brand & solid lab dips for specified categories. Ensure color cohesion and consistency for Family and high visibility categories, across multiple fabrics within one artwork Maintain and organize physical & digital Color Libraries to ensure quick and accurate access for design & Print teams, including seasonal inventory and updates of all Library tools Identify and communicate color variances or print process challenges, providing clear feedback to vendors and PD partners, to achieve target color. Track and manage physical & digital print color approvals within PLM and Smartsheets Support the Color Manager in translating seasonal color palettes into achievable production tools for Design, global color teams & vendors. Assist with color palette naming. Responsible for the distribution of seasonal Color standards to our Global color offices. Partner with Print Design team to support seasonal optimized color files, and CAD printouts for s/off review. Assist Design/PD teams in selecting potential Library color matches as needed Collaborate on new ways to improve color department performance and efficiency Maintain digital and physical color libraries, ensuring all print color standards are organized and accessible. Support vendor performance tracking, color testing consistency, and process improvements that enhance efficiency and accuracy. Contribute to color innovation initiatives, including digital color management and sustainable print practices. Who You Are Bachelor's degree in Textile Science, Color Science, or related field. 2-4 years of experience in color analysis or print/lab dip evaluation within the apparel or textile industry. Excellent visual color acuity and attention to detail (Superior score on Munsell Color Hue test will be required). Excellent verbal & written communication, strong organizational skills with an emphasis on detail orientation and prioritization skills Ability to accomplish competing tasks within tight timelines & multiple overlapping seasons, while also balancing larger scale projects. Self-starter who thrives in a fast-paced environment and works well independently as well as part of a team Ability to be flexible and quickly adapt to change with resilience and an eagerness to learn new things Knowledge of PLM systems preferred, and/or comfortable with managing complex data in centralized platforms Proficient with spectrophotometers and X-Rite color management software Highly proficient with Microsoft applications (Excel, Word, Powerpoint) Any other duties or projects as assigned by Color Manager Preferred: Experience with digital print workflows and color calibration systems. Understanding of fabric construction, print techniques, and finishing impacts on print color. Experience using Adobe Illustrator & AI a plus Benefits at Old Navy Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. One of the most competitive Paid Time Off plans in the industry.* Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.* Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* Employee stock purchase plan.* Medical, dental, vision and life insurance.* See more of the benefits we offer. *For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $73,400 - $93,600 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

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

Scale is looking for a Senior Data Analyst to help advance AI development in the Generative AI sector. This role will partner with leadership, operators, and engineers in our Growth Operations team to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will directly evolve how Scale operates and measures its growth strategies, funnels, and pipelines. The ideal candidate is detail oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems. You will: Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights for growth leads Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs Be a thought partner with the broader Growth organization to simplify and improve existing data assets Deploy AI agents to streamline analytics, creating self serve capabilities Tackle business critical questions by developing hypotheses and testing and iterating on interim results Partner with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps Ideally You'd Have: 3+ years of industry experience in a highly analytical role Degree in a quantitative field (e.g., Math, Stats, Engineering) Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets. Expert knowledge in using and communicating through BI tools like Tableau Working knowledge of Python and associated data libraries Excellent communication and presentation skills to executives Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$149,600-$187,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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 ********************

Upside is solving the B2B go-to-market problem with AI. We unify, structure, and use AI to enhance GTM data. Our team is ex-Branch ($4b valuation, $100m+ ARR), and we're seed-stage, moving fast, and partnering closely with well-known companies as design partners to shape the product. We are looking for a Customer Data Analyst to join our founding team. This is an opportunity to work directly with the CEO and play a pivotal role in shaping both how we deliver value to customers and how we evolve the product. You will work closely with our design partners-helping them make sense of complex data, uncover patterns, and translate insights into actions that improve their GTM performance. At the same time, you'll synthesize customer feedback into structured insights that will guide our product roadmap. This role is ideal for someone who thrives in ambiguity, sees data as a puzzle to solve, and wants to work at the intersection of customer-facing work, analytics, and product strategy. Why this role exists We are looking for a Customer Data Analyst to join our founding team. This is an opportunity to work directly with the CEO and play a pivotal role in shaping both how we deliver value to customers and how we evolve the product. You will work closely with our design partners-helping them make sense of complex data, uncover patterns, and translate insights into actions that improve their GTM performance. At the same time, you'll synthesize customer feedback into structured insights that will guide our product roadmap. This role is ideal for someone who thrives in ambiguity, sees data as a puzzle to solve, and wants to work at the intersection of customer-facing work, analytics, and product strategy. What you'll do Own design-partner outcomes: onboard, troubleshoot, and guide early customers to measurable wins and deeper adoption. Analyze multi-source data: wrangle CRM/RevOps, marketing touchpoints, and product signals; find patterns and attribution insights that change decisions. Tell the story: package findings into short narratives, dashboards, and recommendations executives will act on, help them create QBR and board slides. Close the loop with product: translate customer pain + data learnings into prioritized, testable product requirements. Build for scale: create playbooks, frameworks, and lightweight instrumentation that make future implementations faster and more reliable. Be the voice of reality: pressure-test assumptions, validate data quality, and call out hallucinations before customers see them. You might be a fit if you have 4-5 years in customer success, data analysis, management consulting, RevOps, or similar, ideally in B2B SaaS. GTM fluency: you understand how sales/marketing/revenue ops actually run (pipelines, campaigns, stages, SLAs, attribution basics). Hands-on analytics: strong SQL; comfort with spreadsheets + a BI tool (Mode/Metabase/Looker/Power BI). Python/R is a plus. Data storytelling: you can turn a messy dataset into a 1-pager an exec will forward. Customer presence: consultative, calm under ambiguity, and credible with VP/C-level. Builder energy: you prefer 0→1, document as you go, and don't wait for perfect specs. Bonus: management consulting, startup/early-stage experience, dbt familiarity, Salesforce/HubSpot/Gong chops, knowledge of MMM/multi-touch attribution tradeoffs. Bonus+: This tweet feels too real Why Upside Work with a group of experienced founders who already built one unicorn company; work directly with the Founder & CEO on high-leverage problems. Shape the future of how companies understand their own efficiencies in the age of AI Work hands-on with innovative companies and see your insights directly influence their GTM strategy. Opportunity to grow with the company and build an analytics and insights team We're an equal-opportunity employer. If you're excited about the role but don't meet every bullet, we still want to hear from you. Compensation Range: $120K - $150K

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365-all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investors-including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock-and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses. About the role Join our growing Payments Data & Analytics team as an experienced Data Analyst. This is an opportunity to be embedded in the engine room of our customer funds analytics -playing a critical role in reconciling customer data, improving data quality, and making our payments reconciliation platform bulletproof and more scalable. You'll work closely with Engineering, Product, and Finance teams to ensure customers have clean, actionable data at their fingertips. Your role will involve analyzing complex data sets, managing analytical projects, and collaborating with various teams to deliver complete and accurate analytics to ensure compliance with regulators and external parties. You should have strong critical thinking skills, and the ability to frame and break down complex problems. You thrive under ambiguity and can operate cross functionally in a fast paced environment. You are able to operate across the data stack, and support all elements from data engineering to delivering strategic recommendations. What you will do * Build internal tooling and processes to reconcile financial and transactional data from multiple sources to enable accurate, repeatable customer funds reporting * Collaborate with key stakeholders (Accounting, Compliance, Engineering, etc.) to understand business requirements and develop solutions to automate reporting and reconciliation, including internal tool development and/or implementation of third party tools. * Maintain strong internal controls to protect against payment errors or compliance breaches. * Support audits, month-end reconciliation, system implementations and special projects. * Leverage data analysis and AI-powered tools to identify process gaps, detect anomalies, and drive automation opportunities. * Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture What you will need * A minimum of 3 years of experience in Business Intelligence/Data Analytics within a Finance, Accounting, or Compliance function * Excellent verbal communication and presentation ability. You are able to frame problems, and communicate to all levels of an organization * Proven track record of working cross functionally and communicating findings to executive leadership * Experience partnering with Finance/Accounting organizations in performing detailed and data intensive reconciliations with disparate datasets. * Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment) * Experience with data warehousing and reporting technologies like DBT, Snowflake, Tableau, etc. * Expert in SQL * Familiarity with business intelligence best practices and tooling * Familiarity with data transformation best practices and tooling (e.g. dbt projects, incremental tables, etc.) * Experience with data visualization tools and delivering self service reporting Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email ************************** Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

Job Description Salary: $165K to $220K Visa Sponsorship: Available About the Role: We are seeking a Product Operations Data Analyst to thoroughly analyze user support data, identifying key trends, friction points, and actionable insights. You will play a critical role in shaping our product's success by building and maintaining self-service dashboards, enabling stakeholders to make informed decisions in real-time. This role focuses on proactive friction detection and creating a real-time service health view to ensure we are always ahead of customer demand. You will work alongside product, sales, and engineering teams to ensure clean data pipelines and robust models, ultimately driving continuous product improvement and growth. Responsibilities: Build & Maintain Dashboards: Design, enhance, and manage self-serve dashboards that empower non-technical teams to make data-driven decisions. Data Driven Insights: Dive into large datasets to uncover trends, user pain points, and volume drivers, distilling your findings into clear, actionable insights for both technical and non-technical teams. Service Health Metrics: Establish a unified metrics taxonomy and build automated data pipelines and scorecards to provide real-time visibility on performance and service health. Collaborate Cross Functionally: Partner closely with Product, Engineering, and Sales teams to ensure streamlined data flows and actionable insights are accessible across the organization. Special Projects: Lead deep dive analyses on high-priority initiatives, delivering clear recommendations and strategic guidance to leadership. Prototyping & Experimentation: Quickly prototype solutions using tools like ChatGPT, Jupyter notebooks, and Retool, collaborating with Engineering to refine models and experimentation. What You'll Bring: Experience: 5+ years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams. Technical Expertise: Advanced proficiency in SQL and Python or R for analysis, automation, and model building. BI Tools: Hands-on experience designing and maintaining dashboards (e.g., Looker, Mode, Tableau) with a focus on clarity and usability for non-technical users. Metrics Expertise: Familiarity with support metrics (SLAs, FCR, deflection) and the ability to define and track service health KPIs. Communication: Strong cross-functional communication skills with experience collaborating closely with engineers, product managers, and leadership. Detail Oriented: A strong attention to detail with a bias toward action and results, ensuring clean data and operational efficiency as the business scales. Automation Focused: A passion for automation and data governance, ensuring processes are scalable and maintainable as the company grows. What Were Looking For: Willingness to be in the office in San Francisco 3 days a week. Strong communication and problem-solving abilities. Comfort with shifting priorities in a fast-paced environment. A proactive approach with a focus on driving tangible results.

Job DescriptionDescription: TITLE: Data Analyst REGION: San Rafael, CA REPORTS TO: Sr. Director of Evaluation & Learning STATUS: Full-time, Exempt OUR MISSION 10,000 Degrees is unlocking student success at scale by giving more students equitable opportunities for a quality college education and career success. The most efficient and effective college success non-profit in the U.S., 10,000 Degrees' mission is to achieve educational equity and to support students from low-income backgrounds to and through college to realize their full potential and positively impact their communities and the world. We envision a world where all students, regardless of race, ethnicity, or socioeconomic background, will have the full range of educational opportunities, support, and resources to realize their potential. Accepting a role at 10,000 Degrees implies a personal commitment to this mission. OPPORTUNITY The Data Analyst is a critical member of the Evaluation & Learning team, primarily responsible for the management, analysis, interpretation, and visualization of data to inform program strategy and measure organizational impact. This role works closely with the Data Coordinator, Salesforce Systems Administrator, and Data Training & Support Manager to translate raw program data into actionable insights for staff, leadership, and other stakeholders, including monitoring for accurate, complete, and consistent data. This position requires a strong analytical background, proficiency with data reporting tools-particularly Salesforce, and a passion for data-driven decision making. COMPENSATION AND BENEFITS Excellent healthcare benefits including medical, dental, vision and life insurance; check out our full benefit options HERE 15 days paid vacation + holidays and paid sick leave 401(k) with employer matching Professional development including conferences, seminars, webinars, and directed career advice PHYSICAL/ENVIRONMENTAL To perform the essential functions of this position, employees may be required to: Sit, stand, talk, hear, reach, stoop, kneel and use hands and fingers to operate a computer, telephone, and keyboard. Have close-vision ability due to computer work. Engage in moderate, occasional lifting. Have a reliable means of transportation to attend regular work as well as other off-site business functions. Note: Due to the nature and conditions of our work, applicants must submit to fingerprinting and must pass a tuberculosis (TB) risk assessment and/or provide a clear tuberculosis (TB) test as part of the background check. EEO 10,000 Degrees is an equal opportunity employer offering a welcoming and inclusive environment in service to one another as well as the students, families, and communities we support. We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. TO APPLY For immediate consideration, please complete the application on the 10,000 Degrees Careers page . Requirements: RESPONSIBILITIES Data Analysis & Reporting Perform in-depth quantitative and qualitative analysis of program outcome and impact data to assess performance, identify trends, and generate actionable insights. Develop, maintain, and refine data analysis and reporting tools for use across programs and organizational departments. Generate custom reports and insightful dashboards using Salesforce and other data sources to address key organizational, programmatic, and evaluation questions. Translate complex findings into clear, compelling visualizations, infographics, and presentations for internal and external audiences, including funders and stakeholders. Collaborate with the Development and Marketing & Communications teams to provide accurate impact data for grant proposals, reports, and communications materials. Coordinate the dissemination of findings, conclusions, and recommendations from analyses to support continuous improvement, learning, and strategic decision-making across the organization. Data Management Collaboration Work in partnership with the Salesforce Systems Administrator to ensure the database structure and configuration supports efficient and robust data analysis. Collaborate with the Data Coordinator to maintain data integrity and quality through routine audits, validation of bulk uploads, and resolution of data quality issues. Support the Data Training & Support Manager by identifying recurring data integrity issues and providing context on analytical needs to inform training resources and promote data-informed decision making among staff. Evaluation Support Contribute to the design and maintenance of program performance management systems. Assist in the design and maintenance of data collection instruments, such as applications, surveys, and assessments. Participate in program design, planning and strategic planning processes. General Duties Participate in regular professional development activities, team meetings, and supervisorial meetings. Support and represent 10,000 Degrees at fundraising and appreciation events. Other duties as assigned. This position requires some in-person presence and/or travel within the regions served. QUALIFICATIONS Bachelor's degree or equivalent work experience; relevant fields such as public policy, sociology, or public administration preferred Proven background in research, evaluations, outcome measurement, or statistical analysis Minimum of 1-3 years experience in quantitative and qualitative research methods and data analysis Extensive experience with CRM databases, including reporting and dashboard development Specific experience with Salesforce strongly preferred; Salesforce certification a plus Proficiency with spreadsheets, including Microsoft Excel (advanced skill preferred), and the ability to work with databases and statistical analysis packages Exceptional analytical ability with the skill to summarize complex information clearly and concisely to a diverse audience Excellent communication skills (verbal and written) and ability to tailor messaging to technical and non-technical audiences Strong organizational skills and excellent attention to detail, especially when working with complex data sets Willingness to learn, be self-reflective, and work effectively as part of a collaborative team

Job Description We are seeking an entry-level Project Manager to coordinate construction data collection on solar power plant and data center construction projects. This role is hands-on: you will work directly with field teams and technology partners to capture data, process it using commercial analysis tools, and prepare clear reports and dashboards in platforms such as Terabase Construct. The ideal candidate has experience in construction, working with construction management technology or geospatial data management and enjoys bridging field execution with digital construction workflows. This role requires travel to and working from active construction projects up to 25% of the time. The Project Manager - Construction Data may be assigned to one of Terabase's partner or customer projects for data collections purposes for multiple weeks at a time. Key Responsibilities Onsite Project Coordination Interview project personnel to document processes, challenges, and opportunities for improvement Schedule and manage drone flights and IoT data collection campaigns at active construction sites. Work with drone pilots, survey teams, and subcontractors to ensure safe, compliant operations. Track progress of data collection activities and ensure deliverables meet project timelines. Data Acquisition & Processing Obtain aerial imagery (drone & satellite) and IoT sensor data relevant to construction progress. Process raw imagery and data into usable outputs (orthomosaics, 3D models, volumetric measurements, etc.) using commercial software (e.g., Pix4D, DroneDeploy, ArcGIS, QGIS). Validate data quality and accuracy before analysis or reporting. Analysis & Reporting Create detailed process maps of existing workflows Generate site progress maps, metrics, and trend reports. Integrate findings into Terabase Construct and other project platforms. Deliver reports and dashboards to project stakeholders in a clear, actionable format. Collaboration & Integration Serve as a point of contact between field data collection teams and project managers/engineers. Provide structured feedback on workflows and data integration to improve reporting efficiency. Help standardize repeatable practices for drone and IoT data collection across projects. Requirements Education/Experience Bachelor's degree in Construction Management, Geospatial Science, Engineering, or related field (or equivalent experience). Technical Skills Familiarity with drone operations, FAA Part 107 regulations, and photogrammetry workflows. Experience with IoT sensors or construction telemetry data preferred. Proficiency with geospatial/imagery tools (ArcGIS, QGIS, Pix4D, DroneDeploy, or similar). Competence in preparing professional construction progress reports and dashboards. Exposure to construction management software (Procore, Terabase Construct, or similar). Soft Skills Strong organizational and time-management skills. Effective communicator with both field staff and office stakeholders. Detail-oriented, reliable, and proactive in problem-solving. What Success Looks Like · Process maps of existing construction workflows are well documented and easy to understand for internal stakeholders. · Drone and IoT data collection projects executed smoothly and safely, on schedule. · Construction progress reports that are timely, accurate, and easy for project stakeholders to use. · Growing proficiency in integrating field-collected data into Terabase Construct. · Contribution to standardized data collection practices that improve efficiency across projects. Benefits Compensation And Benefits This role offers a base salary of $85,000 - $95,000 (DOE) Our salary ranges are determined by role, level, and location. Within each posted range, individual pay is determined (and may be greater or higher), dependent on work location and additional factors, including job-related skills, experience, and relevant education or training. Terabase offers competitive compensation along with a comprehensive benefits package, including: • Generous time off and holiday policy • Remote flexibility • Flexible time off • Comprehensive benefits package • Career progression • 401k match • Stock options • Home office set up allowance • And much more! Terabase is an equal opportunity employer. We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We strongly encourage people of all backgrounds to apply. We do not discriminate for any reason including race, color, sex, gender, age, religion or religious creed, national origin, ancestry, citizenship, marital status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military/ veteran status, or any other characteristic protected by law. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. Principles only. This role is not open to receiving agency candidates, and any contingent submissions will not be considered. Terabase Energy does not utilize third-party recruitment agencies. Please contact our Recruiting team at careers@terabase.energy with any staffing-related inquiries.

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.

Data Analyst FLSA: Exempt, Full-Time Compensation Range: $70k to $75k, annually with full benefits Schedule: 40 hours/week | Monday - Friday, with some nights and weekends Location: 100% In-Person, on-site in San Francisco, CA Start Date: January 15, 2026 Mission: Booker T. Washington Community Service Center (BTWCSC) is one of the Bay Areas oldest Black-led, Black-serving nonprofit organizations with 106 years of service to San Francisco. A beacon of Black joy and self-determination, we have nurtured over five generations of Black San Franciscans. We stand embedded as an anchor institution, fostering intergenerational bonds and working in solidarity with allied communities to reform and reimagine a more inclusive San Francisco. We prioritize serving the Black community and we welcome all from cultures and ages 0-99 who walk through our door. We are one of the few urban spaces where anyone in the community can access comprehensive services, from a hot meal to childcare to academic support to senior services. Summary: BTWCSC seeks a highly-reliable, collaborative, professional and results-driven Data Analyst to help our dynamic, multi-service organization meet its ambitious short-term and long-term operational targets while sustaining its growth. The Data Analyst will report directly to the Senior Manager of Technology and Data and be part of both the Programs and Operations teams. The Data Analyst will be responsible for administration, data collection design, needs assessment, and user experience of the organization's client-serving data systems and ensuring its integrity. In collaboration with the Senior Manager of Technology and Data, this role will play a critical role in managing the day-to-day operational effectiveness, program success and activities (programs, events, rentals, building projects) and financial sustainability of Booker T. Washington Community Service Center. This role is a hands-on position that combines technical expertise in data systems with a strong focus on user-centered design and support. The Data Analyst will serve as the primary resource for our program teams, providing direct technical support, creating documentation, and leading trainings to empower our staff to use data effectively and confidently. The hiring and interview process for this position entails a remote database design exercise (1-3 hours) with a follow-up technical assessment to be completed in a later interview round. Essential Duties: Data Tool & Systems Management: Act as the primary technical builder for our client-serving data systems, including our core platform, Airtable. This includes designing, implementing, and optimizing data tools to meet the needs of program teams and the organization. Data Quality & System Audits: Ensure the accuracy and integrity of program data by regularly auditing information and resolving issues. This includes proactively identifying and resolving discrepancies to maintain a reliable source of truth. Training & Support: Lead the training and onboarding of new staff to our data systems. Develop and maintain training documentation, and provide ongoing technical support to program teams. Authorize and manage higher-level access permissions in Airtable to maintain data security. Workflow and Documentation: Assist in the development and maintenance of Standard Operating Procedures (SOPs) for key data workflows. This involves creating clear, user-friendly technical documentation on how to interact with Airtable and integrate it with other software like Google Workspace. Data Analysis and Evaluation: Work closely with program managers and BTWCSC leadership to analyze data for trends that inform program management and improvement. Lead data inquiry to help BTWCSC meet its programmatic goals and track its impact. Align data systems with program evaluation and learning agenda. Collect/analyze data to inform strategic and operational decision-making. Demonstrate curiosity and a learning/ growth mindset. Data Maintenance & Reporting: Meet regularly with program teams to make sure reporting is updated and accurate. Provide support for data-seeking requests, including grant and impact reporting to inform programmatic decision-making in alignment with BTWCSCs strategic plan and Theory of change. Data Security: Collaborate with the program leads of each department to support overall data security efforts, ensuring that all data handling and storage practices align with established policies. Other duties as assigned. Qualifications and Skills Required: 2-5 years of experience with database management. Strong preference for candidates with prior experience building and managing databases within Airtable. BA/BS or relevant experience in Data Analytics, Computer Science, Statistics, or Information Science/Technology preferred. Proven experience building and maintaining data systems, preferably in a nonprofit or similar environment. Experienced in office software with strong preference for familiarity with Google Workspace. A user-centered mindset with a passion for designing systems that are intuitive and easy to use for varying comfort levels with technology. Demonstrated ability to write clear, concise, and user-friendly technical documentation, developing communications for audiences with varying levels of data familiarity. Familiarity with best practices and tools for program evaluation, such as theory of change or logic models Experience in creating and delivering training and providing technical support to non-technical users. Deep understanding of social and racial issues and committed to championing causes that serve low-income and communities of color; direct experience in working with vulnerable and diverse populations Excellent problem-solving skills and a meticulous attention to detail. Familiarity with data security best practices. Demonstrated interpersonal skills including flexibility and the ability to listen, negotiate and collaborate with various stakeholders Proactive, organized, independent, motivated and detailed oriented Ability to work independently and be both creative and strategic when confronted with complex and multifaceted opportunities and challenges A positive attitude, compassion, and strong team-oriented work ethic Demonstrates ability to plan, implement, and execute. Strong applicants must have the ability to be flexible and adapt to change Professional Expectations: In addition to responsibilities, candidates will exhibit and represent behaviors consistent with the expectations within the BTWCSC competency guidelines listed below: Ability to respectfully work within and across diverse cultures, backgrounds. Ability to maintain discretion and confidentiality and handle sensitive information. Demonstrates a desire to serve others and fulfill community needs for vulnerable populations Works effectively with people of different backgrounds, abilities, opinions, and perceptions. Builds rapport and relates well to others. Makes sound judgments and transfers learning from one situation to another. Exercise mature judgment and good decision-making. Embraces new approaches and discovers ideas to create a better member experience. Strives to meet or exceed goals and deliver a high-value experience for members. Pursues self-development that enhances job performance. Demonstrates an openness to change and seeks opportunities in the change process. Physical Requirements: Must be able to move 35 pounds safely. Must be able to remain in a stationary position during shift. Physical requirements are also typical of those needed in an office environment. Schedule: Monday - Friday, 9:00 am to 6:00 pm, some nights and weekends. Additional hours may be required for program activities including but are not limited to, BTW staff events, evening and late-night duty, and staff meetings; a calendar will be provided. Benefits & Compensation: BTWCSC offers a competitive compensation package with paid time off and holidays, generous health and retirement benefits, and a salary commensurate with experience. This position is full time and exempt with an annual salary range of $70k to $75k plus a full benefits package, including: 100% employer covered excellent health, dental, and vision benefits Paid time off, including 15 days paid vacation, plus holidays and Center seasonal breaks/closures Workers compensation Employee Assistance Program Monthly wellness benefit after 90 days Access to daily hot meals and snacks Commuter benefits after 90 days Life and disability insurance 401K match plan (4% company contribution, 1% employee contribution required) Professional development opportunities, including conferences, seminars, webinars, and trainings BTWCSC is an Equal Opportunity Employer committed to hiring a diverse workforce. All openings will be filled based on qualifications without regard to race, color, sex, sexual orientation, gender identity, national origin, marital status, veteran status, disability, age, religion, or any other classification protected by law. According to the San Francisco Fair Chance Ordinance, we will consider employment qualified applicants with arrest and conviction records. To Apply, please submit the following: A brief cover letter detailing your fit and qualifications for the position Copy of any relevant certifications Resume or CV Minimum of 2 references, including at least one recent supervisors Application submission screening will be completed on a rolling basis Applicants must pass a full background check and LiveScan

Marin Community Clinics, founded in 1972, is today, a multi-clinic network with a wide array of integrated primary care, dental, behavioral, specialty and referral services. As a Federally Qualified Health Center (FQHC), we provide vital health services to almost 40,000 individuals annually in Marin County. The Clinics regularly receive national awards from the Health Resources and Services Administrations (HRSA). Our Mission is to promote health and wellness through excellent, compassionate care for all. Under the direct supervision of the Director of Quality Assurance & Improvement, the Healthcare Data Analyst performs a wide range of duties to drive improvement and efficiency throughout the organization through data processing, management and distribution, and process evaluation and improvement. The Healthcare Data Analyst builds reports and implements data visualization strategy to support monitoring and improvement of clinical and operational key performance indicators throughout the organization. Using a variety of tools data analytics tools and coding languages, the Healthcare Data Analyst integrates data from various sources to promote and grow a data-driven culture at MCC. This is a full-time, primarily on-site role based at our Novato administrative offices, with a potential for hybrid work. Responsibilities Data Procesing and Mangement: Produce and manage data to support all monitoring, reporting and process improvement needs of the department and the organization, primarily by utilizing a SQL-based reporting and data visualization software platform (Relevant) and reporting from Epic's Reporting Workbench. Generate and deliver standardized reports and data sets for specific improvement programs and grants within required deadlines (ex. NCQA PCMH accreditation, Partnership Health Plan Quality Incentive Program (QIP), HRSA UDS reporting, etc). Support stakeholders in defining their reporting needs and translating technical reporting ideas into language easily understood by a non-technical audience. Using Power BI and/or Tableau, create compelling and meaningful data visualizations for use by leadership and executive teams. Ensure the accuracy of all data produced by the department by assisting with audits and validation of data that is inputted into Electronic Health Record (OCHIN Epic) and reported out by SQL-based data analysis software (Relevant). Quality Assurance and Improvement (QA/I) Coordination and Promotion: Understand, practice and help support the use of QI methodologies, including the Model for Improvement, to promote and strengthen a culture of continuous quality improvement at MCC. Develop and maintain a working knowledge of the key QA/I programs and agencies to which MCC is accountable and serve as a resource for the organization around the specific metrics and reporting requirements relevant to each entity. Work with all departments to improve and reinforce standardized documentation and data entry workflows in OCHIN Epic. Help train and support MCC clinical providers and staff to access, interpret and act on data that is relevant to their roles and improvement efforts. Other duties to support the Department, as assigned. Qualifications BA/BS required, with at least 2 years of qualifying work experiences, preferably in healthcare. SQL coding experience required, preferably in healthcare setting. Data visualization experience required, preferably with Power BI and/or Tableau. Strong working knowledge of Microsoft Excel. Must have experience working with MS Office Suite (Word, Power Point, and Outlook). Electronic health records experience is highly preferable (Epic experience a plus). Requires advanced critical thinking skills to analyze complex data. Must have strong attention to detail. Must be able to organize multiple priorities in fast-paced environment. Familiarity with the QA/I related regulations pertaining to Federally Qualified Health Centers, HRSA, Quality Improvement Incentive Programs, and Patient Centered Medical Home is desired but not required. Ability to drive to MCC Clinic sites may be required as needed. Required Skills and Abilities: Strong interpersonal skills are required to work in a team-based department and collaborate on projects. Excellent communication skills in English, both spoken and written, are necessary to perform the functions of this job. Spanish is a plus but not required. Must be sensitive to ethnic and cultural differences relevant to health care. Ability to travel to MCC Clinic sites as needed, and work with providers and clinic staff. Physical Requirements: Fulfill immunization and fit for duty regulatory requirements. This is a full-time, primarily on-site role based at our Novato administrative offices, with a potential for hybrid work. Prolonged standing and walking Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds at times. Benefits: Our benefits program is designed to protect your health, family and way of life. We offer a competitive Benefits Program that includes affordable health insurance and Health Reimbursement Accounts (HRA), Dental and Vision Insurance, Educational and Continuing Education Benefits, Student Loan Repayment and Loan Forgiveness, Retirement Plan, Group Life and AD&D Insurance, Short term and Long Term Disability benefits, Professional Fee Reimbursement, Mileage and Cell Phone Reimbursement, Scrubs Reimbursement, Loupes Reimbursement, Employee Assistance Programs, Paid Holidays, Personal Days of Celebration, Paid time off, and Extended Illness Benefits. Marin Community Clinics is an Equal Employment Opportunity Employer Min USD $40.49/Hr. Max USD $45.67/Hr.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! This role is expected to work from our San Francisco office 3 days a week (M, T, Th). About Us Here are some of the ways we bring value to doctors Here is an introduction to our tech stack We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects We have worked as a distributed team for a long time; we're currently about 65% distributed Find out more information on the Doximity engineering blog Our company core values Our recruiting process Our product development cycle Our on-boarding & mentorship process Here's How You Will Make an Impact Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform. Play a key role in creating both product and client-facing analytics. Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations. About you At least 5 years of professional experience as a Data Scientist or Data Analyst working with complex, high-volume datasets. Advanced knowledge of statistical concepts - particularly exploratory data analysis, experimental design, and probability theory. Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT). Proven ability to design, train, and evaluate large-scale models using frameworks such as PyTorch or TensorFlow. Advanced SQL proficiency - skilled at writing and optimizing complex queries across multiple tables and data relationships. Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries. Hands-on experience with distributed data processing tools and concepts (e.g., Spark, Dask) for scalable analysis and model training. Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders. Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research. Compensation The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more! This role can be filled in our San Francisco headquarters or remotely within the US. Visa sponsorship is not available for this role. More About Doximity… For the past decade, it's been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people's lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We're growing fast, and there's plenty of opportunity for you to make an impact-join us! For more information, visit Doximity.com. ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You'll design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance. You'll work with automated pipelines and human-in-the-loop processes, contributing both scientific insight and production-grade code. It's ideal for someone who enjoys working at the intersection of data, machine learning, and systems, and who's excited by the challenge of shaping frontier AI. This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. What You'll Do Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data. Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources. Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly. Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use. Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior. Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia. Skills and Qualifications Minimum qualifications: Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales. Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. Clarity in communication, an ability to explain complex technical concepts in writing. Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some: A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets. Prior experience in data engineering, dataset construction, or large-scale web data processing for machine learning models. Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI dataset creation. Contributions to open datasets, research publications, or data tooling. PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Remote-first labeling and verification of research datasets, localized to Chicago. This role requires careful judgment, consistent annotation quality, and attention to detail in complex datasets.