Data Analyst Jobs in San Francisco, CA
Data Analyst jobs in San Francisco concentrate in SoMa, the Financial District, and Mission Bay, across technology, fintech, and healthcare, with steady demand at all experience levels. Employers hiring right now include University of California - San Francisco, Amazon Web Services, and Meta. Find a role that fits below and apply directly.
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Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.
Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
About this role:
As a Lead Data Analyst, you will report directly to the VP of Analytics & Operations Supply and act as the team's senior individual contributor on the hardest and most ambiguous analytical problems across Liftoff's supply side. You will act as a technical and strategic thought leader, defining best practices for analytics, and mentoring analysts on technical rigor, problem-solving, and strategic insight development. This role demands technical depth, strong business acumen, and leadership skills to drive impact across multiple teams.
Responsibilities:
- Drive analysis and insight generation on highly complex, ambiguous business and technical questions; influence roadmap and operational decisions at a senior level.
- Write and optimize complex SQL queries for large-scale datasets (billions of rows), developing reproducible analytics workflows.
- Conduct root-cause analysis and triage technical issues at the intersection of product performance and business KPIs.
- Build and automate dashboards, ad-hoc analysis tools, and internal reporting pipelines using SQL, Looker, and/or Tableau.
- Translate highly technical concepts (e.g., ML model changes, SDK upgrades, auction mechanics) into business impact analysis for Commercial teams and leadership.
- Lead transformational projects end-to-end, from ideation and scoping through technical execution and operational rollout.
- Mentor other analysts on technical best practices, business context, and effective communication.
- Partner cross-functionally with Engineering, Product, Data Science, and Finance teams to drive initiatives forward.
Requirements:
- B.A./B.S. degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
- 8+ years of experience in data analytics, consulting, or business analytics roles, preferably in high-tech or AdTech.
- Expertise writing complex, performance-optimized SQL on massive datasets; experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Trino).
- Solid grounding in statistical inference, A/B test design, and causal reasoning; comfortable with confidence intervals, statistical power, and the failure modes of noisy experiments.
- Proficiency with Looker, Tableau, or similar BI tools.
- Demonstrated ability to break down ambiguous business problems into structured analyses leading to actionable recommendations.
- Can connect a technical finding to revenue, margin, and partner impact without being told how.
- Strong written and verbal skills; able to tailor technical concepts for a range of audiences from engineering to C-level leadership. Consulting-style structured presentation skills: you can build a narrative, defend a recommendation, and handle pushback in the room.
- Ability to mentor others, lead cross-functional projects, and drive organizational change through data insights.
Location:
This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.
We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.
Travel Expectations:
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.
Compensation:
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.
The following are our base salary ranges for multiple levels:
- SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $165,000 - $195,000
- Olympia, Austin, San Diego, Santa Barbara, Boston: $152,000 - $179,000
- All other cities and towns in our approved states: $142,000 - $167,000
Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem—join us and help accelerate what's next.
Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.
Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.
Agency and Third Party Recruiter Notice:
Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.
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Find Data Analyst JobsData Analyst Job Market in San Francisco
Who's Hiring
- University of California - San Francisco34

- Amazon Web Services20

- Meta13

- Sagetap13

- Genentech13

Top Industries Hiring
- Technology & Software34
- Education13
- Insurance13
- Banking & Financial Services13
- Staffing & Recruiting7
Data Analyst Jobs in San Francisco: Frequently Asked Questions
How do I get a data analyst job in San Francisco?
Focus your search on San Francisco's technology, fintech, and biotech sectors, which post the most data analyst openings in the city. Roles concentrate in SoMa, the Financial District, and Mission Bay. Candidates who stand out typically combine SQL and Python proficiency with experience in a domain relevant to their target sector, whether that is product analytics, risk modeling, or clinical data.
Which companies hire data analysts in San Francisco?
San Francisco data analyst roles are posted by University of California - San Francisco, Amazon Web Services, and Meta and others right now, based on current listings on Migrate Mate as of November 2026. The hiring pool is broad, ranging from large public technology companies and global financial institutions headquartered in the Financial District to early-stage startups in SoMa and health-focused organizations in Mission Bay.
Are there remote data analyst jobs in San Francisco?
Yes, data analyst work is well suited to remote and hybrid arrangements because the role is desk-based and output is easily shared digitally. About 85% of data analyst openings tied to San Francisco are remote or hybrid as of November 2026, reflecting how broadly the city's tech-driven employers have adopted flexible work policies. Fully remote roles are most common at software and fintech companies.
How can I get a data analyst job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through an analyst or business intelligence internship at a mid-size tech or fintech company in SoMa or Mission Bay, where teams are small enough to mentor junior hires. Entry-level titles like junior analyst, reporting analyst, or data operations associate are common on-ramps. A portfolio project using publicly available San Francisco city data, paired with demonstrated SQL skills, consistently gives candidates an edge with local employers.
Which industries hire the most data analysts in San Francisco?
The sectors hiring the most data analysts in San Francisco are Technology & Software, Education, and Insurance, based on current listings on Migrate Mate as of November 2026. San Francisco's concentration of venture-backed technology companies, major fintech platforms, and a growing life sciences cluster in Mission Bay makes the city one of the densest markets for data analyst roles in the country.
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