Data Analytics Manager Jobs in San Francisco, CA
Data Analytics Manager jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, driven by demand across technology, fintech, and life sciences. Employers hiring right now include University of California - San Francisco, Amazon Web Services, and Meta. See the openings below and apply to the ones that match your experience.
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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.
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 Analytics Manager JobsData Analytics Manager 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 Analytics Manager Jobs in San Francisco: Frequently Asked Questions
How do I get a data analytics manager job in San Francisco?
Focus your search on San Francisco's technology, fintech, and healthcare sectors, where demand for data analytics managers is strongest. Roles cluster in SoMa, the Financial District, and Mission Bay, so targeting companies headquartered or officed in those districts puts you in front of the highest volume of openings. Candidates who demonstrate experience with large-scale data infrastructure, stakeholder reporting, and cross-functional team leadership stand out in San Francisco's competitive market.
Which companies hire data analytics managers in San Francisco?
Companies currently hiring data analytics managers in San Francisco include University of California - San Francisco, Amazon Web Services, and Meta, per current listings on Migrate Mate as of November 2026. San Francisco's market is especially deep in enterprise software, consumer technology, and financial services firms, many of which maintain dedicated analytics teams and hire managers at multiple seniority levels year-round.
Are there remote data analytics manager jobs in San Francisco?
Yes, data analytics manager roles are well-suited to remote and hybrid arrangements given the desk-based, analytical nature of the work. About 85% of data analytics manager openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the city's tech-forward employer culture. Strategy, reporting, and team oversight functions are the tasks most commonly performed remotely by managers in San Francisco.
How can I get a data analytics manager job in San Francisco with little or no experience?
The most realistic entry path is moving into a senior analyst or analytics lead role at a San Francisco startup or mid-size technology company first, then stepping into management as the team scales. Early-stage companies in SoMa and Mission Bay frequently promote from within and value hands-on SQL, Python, and visualization skills over formal management credentials. Building a portfolio of business-impact projects and volunteering to mentor junior analysts signals readiness for a manager title.
Which industries hire the most data analytics managers in San Francisco?
The sectors hiring the most data analytics managers in San Francisco are Technology & Software, Education, and Insurance, based on current listings on Migrate Mate as of November 2026. San Francisco's dense concentration of technology headquarters, fintech platforms, and biotech research campuses creates sustained, year-round demand for managers who can translate data into business decisions across those high-growth fields.
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