Top Data Analyst Jobs in San Francisco, CA

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Processes client-requested data changes, creates data transfer packages, and writes SQL queries against Microsoft SQL databases. Conducts risk assessments, verifies data updates and transfer datasets, creates stored procedures, monitors data across databases, and supports clinical study implementation. Requires strong attention to detail, documentation, communication, prioritization, and occasional after-hours technical support.

Leads cyber review analysts, oversees security standards and governance, conducts vulnerability assessments, manages data privacy, and collaborates with IT and security teams. The role implements SIEM processes, provides security-related technical support, analyzes cybersecurity data, documents protocols, and ensures protection of sensitive information and compliance with information security requirements.

Analyze product and healthcare billing data to support product decisions, reporting, experimentation, and claims collection improvements. Build and maintain dashboards, develop scalable datasets, conduct A/B testing, create data visualizations, and communicate actionable insights. Collaborate with product stakeholders, data scientists, and engineers on data modeling, OKRs, data quality, and pipeline reliability for Billing and Payments features.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Own supplier data quality through profiling, sampling, source linking, issue quantification, and quality monitoring. Partner with data engineering, product, and cross-functional teams to translate findings into technical improvements and prioritize opportunities. Build dashboards and reports to communicate data health, support automated quality gates, and apply customer insights to data and product improvements.

Own company-wide analytics covering growth, conversion, care utilization, clinical outcomes, retention, and operational performance. Build executive dashboards, define consistent metrics, transform operational data into analysis-ready datasets, monitor data quality, troubleshoot pipelines, and develop the analytics roadmap. Partner with leadership and engineering to deliver complex SQL and Python analyses, strategic insights, and trusted reporting while advancing AI-enabled workflows.

Maintain investment data integrity through validation controls, data quality improvements, transaction implementations, analytics tool support, and process automation. Investigate data issues, identify root causes, recommend resolutions, and support migration to an investment data warehouse. Collaborate with investment teams, IT, Accounting, and other corporate partners while maintaining procedures and supporting concurrent projects. The role requires fixed-income investment knowledge and experience with Bloomberg, BlackRock Aladdin, Excel, Power BI, SQL, Snowflake, and Python.

Supports data and information privacy activities within a healthcare revenue cycle technology organization. The posting provides limited role-specific responsibilities or qualifications, but the position likely contributes to privacy compliance, data protection, and risk management initiatives.

Researches, reconciles, and resolves complex Navy financial transactions, including unmatched disbursements, aged payables and receivables, and dormant undelivered orders. The analyst traces transactions across NERP, WAWF, PIEE EDA, and DCAS, identifies root causes, prepares correction packages, supports budget execution and audit readiness, maintains documentation, and recommends controls and corrective actions across Navy organizations.

Analyze transaction and financial data, build stakeholder dashboards and reports, support compliance and regulatory reporting, and collaborate with data teams to maintain data quality for payment operations and decision-making.

Analyzes Link 16 and VMF data from tactical data link test events, verifies compliance with military standards, develops test plans and reports, performs root cause and performance analyses, and provides technical recommendations. The role uses specialized modeling and data analysis tools, supports scenario and mission-thread development, and collaborates with technical teams. It is based at Camp Pendleton, requires a Top Secret clearance, and involves 15%–25% travel within and outside the continental United States.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Analyzes pharmacy benefit management claims, application engagement, and clinical program effectiveness. Develops advanced analytics, reporting frameworks, automated data tools, and scalable data processes; investigates reporting variances; and delivers insights to clients and internal stakeholders. The role also supports strategic decision-making, gathers requirements, identifies analytic product opportunities, and mentors junior analysts.

Ensures data across Snowflake platforms, ingestion pipelines, dynamic tables, and client reports is accurate, complete, timely, and trustworthy. Defines quality rules, monitors observability alerts, investigates anomalies, reconciles metrics, validates pipelines and onboarding data, maintains data documentation, and builds quality dashboards. Partners with engineering, product, customer success, and metric owners to resolve root causes, improve data contracts, and support compliance, audit, PII, PCI, and governance requirements.

Serves as the liaison between business stakeholders and ServiceNow developers, gathering requirements and mapping business processes to workflows. The role supports dashboards, KPIs, performance analytics, data validation, cleansing, transformation, testing, UAT, documentation, data governance, compliance, training, and process optimization. It develops user stories, acceptance criteria, and test scripts while helping federal agencies improve ServiceNow reporting, workflow automation, and operational performance.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.

Own analytics as an internal data product across GTM, People, Finance, and related functions. Translate ambiguous business questions into self-service data solutions, deliver executive-ready narratives, manage stakeholder priorities, and guide data-driven decisions. Serve as a marketing analytics subject matter expert across attribution, campaign measurement, lead tracking, funnel analysis, predictive modeling, and experimentation. Use SQL, modern data-stack tools, BI platforms, and AI-assisted modeling to deliver actionable insights.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Leads complex data-analysis initiatives supporting reporting, analytics, and operational decisions. Designs and optimizes SQL-based solutions, data models, stored procedures, Power BI reports, dashboards, and governed datasets. Analyzes healthcare and pharmacy benefit management data, resolves data-quality issues, establishes analytical standards, supports regulatory and client reporting, and mentors analysts. Partners with stakeholders to translate ambiguous business needs into scalable analytical approaches and actionable recommendations.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Build and operate Envoy’s marketing data platform on AWS, including dbt models, attribution systems, serverless applications, APIs, reverse ETL, event-lake integrations, lead-scoring models, and experimentation analytics. Partner with Marketing, RevOps, Data, and Finance to measure funnel performance, revenue attribution, CAC, payback, and channel ROI. Ensure data reliability through testing, CI, monitoring, and cost controls.

Lead marketing analytics initiatives, including experimentation, incrementality studies, customer segmentation, retention and lifetime value analysis, promotional ROI measurement, and marketing investment optimization. Build measurement frameworks, define customer data infrastructure requirements, develop dashboards, and translate complex analyses into actionable recommendations for Marketing, Product, Finance, and leadership.