Top Data Analyst Jobs in San Francisco, CA

Principal Data Analyst responsible for driving data-informed business strategy, leading end-to-end analysis, and building analytics foundations for a new product. The role includes designing data capture and pipelines, creating reporting-ready datasets, supporting governance and privacy, conducting statistical analysis, segmenting clients, partnering with product and engineering, communicating insights to executives, and mentoring analysts. The analyst will also use AI to improve effectiveness and establish reliable data sources.

Develop and maintain customer-facing reports, dashboards, data models, and reusable datasets. Use advanced SQL to investigate customer questions, validate metrics, resolve discrepancies, and improve data quality. Partner with Customer Success, Product, Data Science, and Data Engineering to standardize reporting, support QBRs and value realization, and convert recurring analyses into scalable, automated data capabilities.

Analyze company data using SQL and Python to answer business questions, maintain trustworthy data pipelines, identify data-quality issues, and build automated dashboards, scripts, Slack bots, internal tools, and AI workflows. Partner with stakeholders to define needs, evaluate AI tools, improve processes, and document solutions for broader use.

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Analyzes clinical revenue, physician productivity, research metrics, and financial internal controls. Develops SQL queries, validates data, builds reports and visualizations, manages data models, investigates discrepancies, and supports departmental stakeholders. Uses AI and API-based solutions to automate data workflows and improve accessibility. Coordinates financial risk analysis, overdraft monitoring, research reporting, and clinical revenue analytics across the Department of Medicine.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.

Build scalable data models, production pipelines, dashboards, reporting, and analytics products for Stripe’s global payments business. Own data quality, testing, monitoring, documentation, and metric definitions. Partner with senior leaders to translate business needs into analyses, identify opportunities, and shape product strategy across global markets.

Assists transplant nephrology investigators with collecting and managing research datasets, analyzing secondary data sources, and performing statistical and regression analyses. Generates tables, reports, and computations; maintains study records and files; and helps identify trends and educational needs. The role is part-time, remote, and requires basic computer systems and data analysis skills, with prior experience preferred but not required.

Analyze complex data to support company-wide decisions and responsible growth. Build metrics, data pipelines, dashboards, reports, and self-service tools; translate stakeholder needs into data problems; deliver actionable recommendations through analysis and storytelling; collaborate cross-functionally and enable teams to use data effectively.

Deliver recurring and ad hoc commercial analytics, client reporting, performance-guarantee calculations, dashboards, and value measurement. Define and govern metrics, validate data, improve documentation and workflows, and automate repeatable processes. Partner with Client Success, Commercial, Finance, Product, and Analytics teams to translate complex questions into actionable insights, client-ready narratives, and recommendations that strengthen client relationships and inform business strategy.

Supports analysis of personal lines product performance and competitive position. Gathers, validates, cleans, and organizes internal and external data; performs foundational statistical analysis; maintains reports, visualizations, spreadsheets, and dashboards; uses SQL and analytical code; documents methods and findings; collaborates with Product and cross-functional teams; and contributes to defined-scope projects and process improvements under guidance.

Analyze user and customer behavior, develop segmentation, build dashboards, define organizational metrics, design experiments, investigate data issues, and deliver actionable insights. The role partners with marketing, sales, product, and UX teams to optimize engagement, conversion, growth, and strategic investments using analytics tools such as GA4 and Amplitude.

Performs data profiling, quality analysis, governance, metadata and lineage management, and Master Data Management support. Collaborates with data owners, stewards, business stakeholders, and technical teams to resolve issues and improve governance processes. Maintains glossaries, dictionaries, controls, metrics, and reports; supports enterprise data initiatives, communications, training, and stakeholder adoption. Provides guidance to less experienced analysts while applying governance standards and documenting business requirements.

Analyzes large, structured and unstructured datasets to support Marine Corps planning, command operations, and decision-making. Develops data methodologies, metrics, visualizations, reports, process maps, and information-management products. Advises clients and stakeholders, documents information flows and workflows, supports working groups, and creates dashboards and briefings using SQL, Databricks, Qlik, Tableau, AWS, and related tools.

Process railroad safety data from receipt through publishing, including logging submissions, scanning and transcribing paper forms, validating reports, and processing inspection and crossing inventory updates. Return incomplete submissions for correction and provide backup Help Desk coverage. The role requires accurate regulatory data processing, Excel proficiency, and basic SQL knowledge, with eligibility to pass a DOT background investigation.

Analyze internal and external data to support clinical trial design, placement, and execution. Build integrated datasets, visualizations, queries, taxonomies, and recommendations using clinical and real-world data. Partner cross-functionally to improve data quality, standardize trial design practices, automate analytical capabilities, evaluate real-world data assets, and manage related vendor relationships and contracts.

Senior Data Analyst responsible for building financial reporting data models, business logic, reporting layers, and automated solutions supporting regulatory compliance. Partners with product, engineering, accounting, treasury, and finance teams to investigate data issues, improve financial system transparency, resolve reporting problems, and communicate findings to technical and non-technical audiences.

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

The HR Data Analyst develops and maintains workforce dashboards, KPIs, reports, and automated analytics solutions. They analyze employee lifecycle, engagement, retention, talent, learning, rewards, and HR operations data to identify trends and provide recommendations. The role partners with HR and business leaders, presents insights, ensures data quality and compliance, and improves reporting processes through governance, validation, automation, and data modeling.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.