Top Data Analyst Jobs in San Francisco, CA

Analyzes operational, engineering, logistics, reliability, maintenance, training, supply chain, and program data for a NATO SATCOM support program. Develops executive dashboards, KPIs, scorecards, predictive reports, trend analyses, and risk assessments. Maintains product support databases, validates data integrity, supports reliability and sustainment analyses, and reports on readiness, quality, cost, schedule, and lifecycle performance. Presents actionable recommendations to technical and executive stakeholders.

Own Netic’s go-to-market data foundation by defining account and contact standards, building TAM and data-quality models, maintaining territory and routing data, and creating enrichment, validation, dashboards, and alerts. Analyze conversion, coverage, and segmentation questions while automating recurring cleanup processes. The role requires strong SQL, spreadsheet modeling, Salesforce data expertise, and operational ownership of accurate B2B revenue data.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Collects, cleans, validates, and analyzes data to identify trends and issues. Prepares reports, dashboards, and visualizations, communicates findings, recommends actions, maintains documentation, and follows data-quality and security procedures while collaborating with stakeholders.

Analyzes Recidiviz interventions using Python and SQL, builds statistical models, measures historical and projected impact, develops automated metrics workflows, and communicates findings to stakeholders. The role defines product usage and impact measures, supports experimental and quasi-experimental analyses, and informs product strategy and fundraising partnerships focused on criminal justice outcomes.

Build and maintain pipelines for cloud cost data, analyze and visualize spending, define business efficiency metrics, and create self-service data tools. The role partners with cross-functional stakeholders to optimize and forecast cloud spending, understand cost drivers, and support pricing and business decisions using SQL, Python, git, dbt, and modern data platforms.

Supports hospital medicine and palliative medicine research through literature reviews, IRB and grant preparation, qualitative interviews, participant observation, qualitative coding in Atlas.ti, mixed-methods and quantitative analysis, data management, and dissemination through manuscripts, presentations, policy materials, and public-facing outputs.

Serve as a strategic analytics partner across Product, Growth, Engineering, Design, and Leadership. Define KPIs, measurement frameworks, experimentation strategies, and A/B tests; build executive dashboards and scalable dbt datasets; deliver product and marketplace insights; manage technology-category and vendor data; research cybersecurity and AI markets; and use LLMs to improve workflows and enrich the product database.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Gathers and documents business and technical requirements, analyzes and maps client data, defines integration specifications, and supports implementation, UAT, validation, and solution delivery. Collaborates with Sales, Account Management, Product, Development, QA, Operations, and Implementation teams to ensure accurate data ingestion. Maintains integration documentation, identifies risks and dependencies, and contributes to process improvements for client application setups and customizations.

The Senior Data Analyst develops Power BI dashboards, extracts and manages Deltek Vantagepoint data, and produces financial, operational, pipeline, backlog, and client performance reports. The role supports business development strategy, CRM data integrity, process improvement, workflow administration, stakeholder coordination, staff training, and ad hoc analysis. Responsibilities also include maintaining reporting infrastructure, documenting procedures, troubleshooting systems, and supporting cross-functional initiatives across the AEC organization.

Lead risk analytics for fraud, chargebacks, bad debt, claims, pricing, and policy decisions. Design and analyze A/B tests, build pricing and cost models, monitor risk metrics, develop scalable reporting infrastructure, and translate complex findings into recommendations for leadership and cross-functional teams.

Analyzes and manages health-related internal and public datasets, conducts descriptive statistics and research, evaluates policy proposals, and communicates findings to support evidence-based policy development. Collaborates with research, policy, and communications teams on data collection, interpretation, visualization, and policy recommendations focused on health equity.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Analyze corrections and parole administrative data using SQL and Python, model policy scenarios, quantify tradeoffs, and communicate findings to criminal justice decision-makers. The role owns analytical projects end to end, from scoping and strategy through modeling, stakeholder materials, and implementation support. Analysts collaborate with state partners, identify opportunities for further analysis, and develop reusable analytical frameworks to influence policy reforms.

The Finance Data Analyst manages finance ETL processes, reconciles enterprise data warehouse outputs, investigates discrepancies, and validates insurance financial data. Responsibilities include SQL-based analysis of premiums, commissions, taxes, fees, and payments; building automated controls and exception reports; supporting Finance reporting and close activities; documenting data processes; and partnering with Finance and data engineering teams to improve data quality and reliability.

Supports Internal Audit and Credit Review through data acquisition, analytics development, automated testing, reporting, data integrations, API connectivity, and Optro platform administration. Translates audit and business requirements into technical data solutions, supports SOX testing and continuous monitoring, maintains dashboards and reports, and assists with audit technology, compliance assessments, and executive reporting.

Analyzes recruiting competitive intelligence, talent-market trends, competitor hiring, and workforce data. Develops research frameworks, dashboards, automated reporting, and executive-level recommendations to guide hiring strategy. Partners with recruiting, workforce planning, IT, and data engineering teams to address research requests, improve data accuracy, and scale intelligence delivery through technology and AI-enabled solutions.

Develops dashboards, data models, reports, and analytical solutions that transform raw data into actionable business insights. Partners with stakeholders, provides technical guidance, documents architectures and processes, troubleshoots analytics solutions, and communicates findings to technical and non-technical audiences. Requires advanced Spotfire, SQL, business intelligence, and data analytics expertise, with knowledge of Databricks, Power BI, Python, R, Salesforce, and modern data architecture.

Lead analytics for hardware and supply chain metrics across manufacturing, inventory, revenue, COGS, warranty, and activation. Define governed, audit-ready KPIs and data products in Databricks/dbt, ensure end-to-end lineage from ERP and manufacturing to executive dashboards, partner with Ops, Supply Chain, Finance, and Data Engineering, migrate legacy reporting to Databricks, and support external audit cycles.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

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.

Build trusted data models, define metrics, ensure data quality, conduct analyses, and create dashboards supporting Product, Finance, GTM, executives, and customers. Present actionable insights, connect GA4, Google Search Console, and AI Search data to business outcomes, and develop reusable reporting frameworks. The role requires strong SQL, AI-assisted analytics, customer communication, and comfort operating in a fast-growing startup.