Top Data Analyst Jobs in San Francisco, CA

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Own data integrity and reconciliation across Salesforce, Entity Master, and related platforms. Investigate discrepancies, duplicates, missing records, and synchronization failures affecting onboarding and client servicing. Perform root-cause analysis, develop reporting, document processes, and support automated data-quality initiatives. Partner with business, data operations, engineering, and IT teams to resolve systemic issues and improve workflows.

Own financial operations metrics from KPI design through Tableau dashboard deployment and stakeholder adoption. Perform predictive modeling, scenario analysis, ad hoc financial analyses, and leadership reporting. Drive automation of reporting using data science tools, improve operational efficiency, and deliver actionable insights for strategic decision-making across Procure-to-Pay, Travel & Expense, and Order-to-Cash functions.

Build and maintain business-facing analytical applications, Tableau dashboards, reports, and Cube semantic models. Develop production code in Python and JavaScript, query Amazon Redshift, manage Salesforce reporting, and implement data quality validation, governance, access controls, and row-level security. Collaborate with cross-functional stakeholders to translate business needs into reusable data products, support data-driven decisions, and deliver projects through Git-based workflows, code reviews, and CI/CD.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Conduct audience segmentation, lifecycle, funnel, churn, revenue attribution, and opportunity-sizing analyses. Extract and analyze large datasets with advanced SQL, develop automated reports and dashboards, define data models and pipeline requirements with engineering and data science teams, and translate findings into marketing segments and executive-level recommendations.

Analyze commercial P&C insurance rates, filings, competitors, loss ratios, portfolios, and regulatory requirements. Build rating plans, support rate and form filings, respond to regulatory objections, and monitor product performance. Use SQL and PostgreSQL for data analysis, Metabase for dashboards, and dbt for data transformation. Collaborate with actuarial, underwriting, compliance, product, and engineering teams to translate insights into pricing and product decisions.

Leads Cyber Incident Review Analysts and performs hands-on cyber review and quality control. Responsibilities include analyzing datasets with SQL, Python, and Power Query; identifying security risks; preparing dashboards and reports; maintaining audit documentation; coordinating workflows; mentoring staff; collaborating with security, legal, compliance, and technology teams; and driving process improvements.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Analyzes operational data, builds and maintains reports and Power BI dashboards, develops data processes and pipelines, validates data quality, monitors KPIs, and presents insights to leadership. Partners with Operations, Quality Assurance, Dispatch, engineering, data science, and product teams to answer business questions, improve reporting, support analytical projects, and inform operational decision-making.

Provide analytics, automation, and reporting to support compliance testing and monitoring. Collect, validate, reconcile, and analyze large data populations; develop repeatable testing routines, dashboards, and automated solutions; support sampling, exception analysis, reporting, and stakeholder requests to identify trends, risks, and remediation status.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

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

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Build predictive models and analytics engineering workflows for Talent Acquisition, including pipeline forecasting, candidate conversion, time-to-fill, and quality-of-hire analysis. Define strategic recruiting metrics, evaluate AI tools for ROI and bias, improve data pipelines, and lead dashboard and visualization strategy using enterprise BI tools. Partner with TA leadership, data warehouse engineers, and People teams to deliver actionable insights and resolve complex data issues.

Analyze complex data and develop managed data solutions, business intelligence tools, dashboards, metrics, and self-service capabilities. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and familiarity with cloud services and data governance.

Analyze large-scale sensor and telematics data from IoT hardware to identify trends, anomalies, reliability issues, and performance improvements. Build dashboards and reports, compare firmware versions, apply statistical and machine learning methods, support customer inquiries, and collaborate on data pipelines and future hardware and software features.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Develops scalable data models, dashboards, reports, and analytical solutions that support business decisions. Partners with stakeholders to translate requirements, ensures data accuracy and usability, provides technical guidance to end users, documents architectures and processes, and communicates findings to technical and non-technical audiences. The role requires advanced Spotfire, SQL, and business intelligence experience, plus familiarity with modern data platforms and AI-assisted development tools.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Supports client analytics and business-systems engagements by preparing, validating, mapping, and analyzing data; configuring and testing ERP systems; creating Tableau visualizations and reports; documenting processes; supporting data integration; and communicating with stakeholders. The role works under Lead Analyst guidance while developing ERP, consulting, and account-facing expertise.

Leads Cyber Incident Review Analysts while performing hands-on cyber review and quality control work. Analyzes large datasets using SQL, Python, and Power Query to identify risks, trends, and anomalies. Oversees workflow, reporting, documentation, compliance, audit trails, and process improvements. Partners with security, legal, compliance, technology, and business stakeholders on findings and remediation, while coaching team members and supporting resource planning and operational coordination.

Lead analytics and data science for long-term care insurance claims: analyze healthcare and claims data, build predictive models, perform EDA, prototype solutions, collaborate with stakeholders, and translate insights into business recommendations to improve reporting and decision-making.

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.