Top Data Analyst Jobs in San Francisco, CA

Lead analysis and insights for sports game titles; translate product and business needs into actionable, data-driven recommendations; build reports and visualizations; develop scalable self-service tools; mentor analysts and partner with Product, Marketing, and Commercial teams to drive player and business outcomes.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Principal Revenue Data Analyst will build analytics and automation for finance controls, create data models, dashboards, and ensure data quality while collaborating cross-functionally.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

Contract marketing data analyst to clean and rebuild marketing data models, integrate ad/analytics and conversation data into Snowflake, ship dashboards, implement quality monitoring, align GTM models, and produce a data dictionary for team and LLM consumption.

Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Analyze data center operational practices, identify risks and inconsistencies, and create scalable enablement materials (SOPs, runbooks, templates, training). Partner with technicians, engineers, security, and compliance to validate procedures, support audit readiness, and leverage modern tooling including AI/LLM workflows to accelerate documentation and onboarding.

Support data center construction cost planning, forecasting, and controls across project lifecycles. Maintain program-level cost forecasts, prepare estimates and commercial risk assessments, compile benchmarking data, and coordinate with engineering and external cost consultants to optimize capital efficiency and inform location and deployment decisions.

Own attribution, data foundations, and pipeline measurement for growth marketing. Design attribution models/tools, set data quality SLAs, map end-to-end data flows across HubSpot and Salesforce, build reporting in Looker and Amplitude, define source-of-truth for customer/account data, and document standards to scale cross-functional analytics and operations.

Manage measurement programs across multiple clients to evaluate earned media, social, influencer, and integrated marketing performance. Build dashboards, run social listening and competitive analyses, define KPIs, deliver actionable insights and presentations, automate reporting and Slack monitoring, train teams, and support new business with research and measurement recommendations.

Partner with Sales and GTM stakeholders to build production analytics, pipelines, and dashboards that drive B2B revenue. Field cross-functional requests, define core metrics and semantic layers, automate recurring workflows, and present insights to technical and non-technical audiences.

Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.

Perform business analysis and define requirements for BI and data solutions. Design and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, provide enterprise data integration analysis, wireframe solutions, engage clients, meet SLAs/KPIs, and support solution design and troubleshooting.

Partner with the Growth Marketing Lead to synthesize channel performance, own KPI reporting, run LTV/CAC and cohort analyses, evaluate experiments, and translate messy data into clear, prioritized recommendations that drive marketing decisions. On-site in San Francisco, measured by the decisions your analysis changes.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

Support D2C and B2B growth by building automated dashboards, performing funnel and conversion analyses, tracking lifecycle marketing and ad performance, and partnering with cross-functional teams to scale growth initiatives. Learn from mentors and progress into owning growth and marketing analytics domains.

Turn utility customer data into actionable insights by building dashboards, performing bespoke analyses, validating outputs, and supporting customer engagements. Partner with power engineers, data engineers, and product to ensure data quality, translate findings for stakeholders, and turn repeatable analyses into product features while improving delivery tooling and processes.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Develop, test, and maintain analytics and reports for pharmacy operations. Translate designs into code, validate reports, document business rules and logic, and support ad-hoc and workplan analytics using SQL and Tableau.