Top Data Analyst Jobs in San Francisco, CA

Analyze and interpret large datasets, develop reports and visualizations to deliver business insights, collaborate with teams to optimize data strategies, ensure data accuracy and integrity, and support data-driven decision-making.

Lead data science strategy for Accounting, Finance, and Payments. Build ML/AI systems (including LLM workflows) for forecasting, fraud detection, anomaly monitoring, and financial automation. Architect data pipelines, models, and dashboards while advising finance leadership and scaling analytics capabilities.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Senior Data Analyst with 7+ years experience performing data profiling and analysis, strong SQL/Oracle skills, and required healthcare or life sciences domain expertise. Responsible for analyzing data quality, profiling datasets, querying for insights, and communicating findings. 6-month contract; strong communication skills required.

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.

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

Partner with Product, Marketing, Finance, and leadership to deliver data-driven insights. Design and analyze experiments, build and automate datasets and dashboards, develop predictive models and forecasts, improve data quality and infrastructure, automate reporting with Python, and communicate findings to influence product and business strategy.

The Data Analyst will reconcile financial data, normalize customer data, support cross-functional teams with data insights, and enhance data architecture and pipelines.

The Data Analyst Intern will migrate dashboards from various platforms to Hex, perform data validation, conduct analyses for insights, and communicate findings across teams.

Owner of Support Operations analytics: build and maintain dashboards and recurring reports, track cSAT/TTR/QA/escalations, instrument Zendesk, connect support to product/customer data, design feedback loops, measure AI-driven support impact, quantify cost of bugs/features, and support ad-hoc analysis for leadership.

Remote Data Analyst responsible for collecting, cleaning, and analyzing datasets, producing reports and dashboards, ensuring data accuracy, and collaborating with teams to identify trends and support business decisions.

Collect, process, and analyze large datasets to support business decisions. Create dashboards and reports, identify trends and insights, and perform data cleaning and validation. Work with spreadsheets and databases and maintain attention to detail.

Perform exploratory, diagnostic, and descriptive analyses to generate insights and dashboards. Build and maintain reports, prepare and transform data (SQL/Python/Alteryx), validate pipelines, analyze A/B tests, document data lineage and business rules, and present findings to stakeholders to inform decisions across Digital, Marketing, Finance, and Operations.

Collect, clean, and analyze data to support business decisions; build dashboards and reports; identify trends and insights; and present findings to stakeholders. Maintain attention to detail and apply problem-solving to derive actionable recommendations.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Own pipeline reporting, revenue forecasting, pricing and deal-analysis frameworks, retention/renewal reporting, and marketing performance analysis. Create automated dashboards, partner with sales and engineering to maintain data pipelines, and present insights to commercial stakeholders to drive revenue growth.

The Lead Data Analyst will oversee marketplace analytics, define operational metrics, clean data, conduct user behavior analysis, and partner with leadership to drive product strategy and revenue growth.

As a Data Analyst, you will support senior analysts and business leaders with insights through SQL, dashboard building, and data analysis to influence revenue and retention decisions.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

Analyze RF signal data to create structured datasets for machine learning, collaborating with DSP and ML teams to improve labeling standards.

Build and maintain Snowflake data warehouse and ETL/ELT pipelines, integrate data sources (NetSuite, Jira, portals), own BI layer and dashboards (HEX/Tableau/Looker), ensure data quality and governance, partner with leadership to translate operational goals into data models and insights, and support cross-functional analytics and automation.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.