Top Data Analyst Jobs in San Francisco, CA

The Sr Data Analyst is responsible for ensuring data integrity and providing in-depth analysis to resolve complex issues while collaborating with various internal and external teams.

This role involves maintaining security master data, managing daily pricing for securities, performing data validation, and supporting operational processes. It requires experience in investment operations with SQL skills for data management and analysis.

The Senior Clinical Data Operations Analyst III supports client data implementations, collaborates with stakeholders, and ensures data accuracy and interoperability, primarily in healthcare settings.

As a Senior Data Analyst, you will translate business requirements into technical data specifications, manipulate large datasets, and support data initiatives while partnering with clients and teams to improve data quality and governance.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

The role focuses on translating data into actionable insights, building reports and dashboards, and investigating business performance issues to support revenue growth and productivity.

The Senior Data Analyst will deliver analytics solutions, develop KPIs and dashboards, conduct advanced analysis, and mentor junior analysts while collaborating with stakeholders.

The role involves automating data analytics processes, preparing datasets, and collaborating with stakeholders to enhance People reporting frameworks.

The Senior Data Analyst will analyze trends, develop segmentation frameworks, create dashboards, manage risk rules, and support audits and projects.

Lead advanced data analytics and statistical modeling initiatives to drive strategic decision-making. Collaborate with stakeholders to translate high-level challenges into actionable data strategies, delivering impactful narratives.

The Senior Data Analyst delivers metrics and dashboards, collaborates with stakeholders, documents processes, and assists in defining requirements and special projects.

The Tactical Data Link Analyst develops military standards, evaluates interoperability, researches technical documents, and participates in joint working groups to ensure compliance and interoperability across systems.

Lead design and analysis of experiments to evaluate ML models, build monitoring dashboards, investigate model performance and data drift, estimate opportunity size, and measure models' contributions to company KPIs while partnering with data scientists and product stakeholders.

The Senior Analyst will support fundraising data-driven decisions, develop KPIs, analyze campaigns, and collaborate on revenue forecasting through data modeling, analysis, and reporting.

The role involves engineering consumer-level attributes, applying statistical techniques, building dashboards, and collaborating with various teams to enhance credit-related decisions based on data insights.

The Senior Data Analyst will analyze user behavior and product performance, generate insights, and communicate findings effectively to drive decision-making and improvements at OneStudyTeam.

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

The Senior Data Analyst will analyze financial data, build SQL datasets, develop dashboards in Tableau or Power BI, and support Finance teams in decision-making processes.

Own marketplace analytics and attribution, build source-of-truth dashboards, define and instrument product/growth metrics, run A/B experiments end-to-end, perform cohort LTV/payback analysis, support SEO and technical growth, and partner with AI to measure feature impact and accelerate analytics with AI tools.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

The Associate will support the Enterprise Analytics team in client projects, analyses, and collaboration with media teams to drive growth and delivery of Hive's offerings.