Data Analytics Engineer Jobs in San Francisco, CA
Data Analytics Engineer jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, driven by demand from fintech, enterprise software, cloud infrastructure, and biotech employers. Companies actively hiring include OpenAI, Whatnot, and DoorDash. See the openings below and apply to the ones that match your experience.
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About Mile Marker
We are a modern omnichannel agency uniquely connecting data, creative and media to accelerate results for growth marketers. Mile Marker is an agency where content fuels performance, media drives outcomes, and data underpins an engine that eliminates the gaps that slow down enterprise growth marketers. This unified growth engine feeds a learning system within Relay, our open-powered marketing stack, ensuring every impression, message and experience is built for a business outcome. Mile Marker’s client roster includes FreshPet, DoorDash, Spectrum, Webster Bank, TrueGreen, HelloFresh and Harry’s, among others. We are a team of strategists, media experts, creatives, innovators and analysts. Over 100 Milers (our humans) strong with hybrid-offices in New York City and San Francisco.
Position Summary
We are seeking a strategic and analytical Director of Financial Planning & Analysis (FP&A) to serve as a trusted advisor to our business partners and executive leadership team. You will excel in this role if you can build these trusted advisor relationships and deliver value-add analytics and insights through exceptional communication, top-notch problem-solving skills, and the ability to adapt in a fast-paced environment. Partnering closely with the VP Finance and CFO, you will own revenue forecasting, P&L modeling, and the analytics that drive smart decisions across the business.
Key Responsibilities
- Partner with the VP Finance and CFO to proactively set expectations around financial performance with the executive leadership team and present results through reports, narratives, and presentations.
- Develop and prepare forecasts of financial results reflecting changes from trends and expectations, with supporting analysis to clearly substantiate results and forecasts.
- Collaborate with the VP Finance, CFO, and executive leadership team to build KPI reporting against relevant external benchmarks.
- Work with finance managers to sharpen the presentation of monthly financials and full-year business unit forecasting.
- Supplement financial reporting with the preparation and analysis of business-unit-specific KPIs.
- Support the VP Finance with accountability for company-wide revenue forecasting and P&L modeling.
- Partner with business leads and the finance team to review weekly new business updates and changes to client sales forecasts that impact the revenue forecast.
- Compile monthly forecast updates for all business units.
- Incorporate sales pipeline data to provide an analytical view of revenue forecast scenarios.
- Provide a supporting role in the annual budgeting process (effective with the 2027 budget).
- Maintain all project accounting and profitability tracking.
- Conduct business unit, service line, and client-level profitability analysis.
- Proactively analyze client billing rates across the organization.
- Maintain ongoing client statistics, including cohort analysis and attrition/retention.
Qualifications
- MBA preferred.
- The ability to leverage AI tools to merge data sets, analyze information and build presentations is mandatory.
- Bachelor’s degree in Accounting, Finance, or a related field.
- 8-10 years of experience with a track record of building strong partnerships with business leaders based on sharing financial insights.
- Demonstrated leadership qualities; this is a must for the position.
- High EQ and empathy, with the ability to present information to teammates of varying financial maturity and to recognize emerging requirements.
- Experience compiling and leveraging data analysis to build impactful business partner relationships with the commercial organization.
- Strong proficiency in Microsoft Excel and financial modeling; able to analyze data and build advanced reports.
- Excellent communication, problem-solving, and analytical skills.
- Experience in media, advertising, or project-based environments is preferred.
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in San Francisco
Who's Hiring
- OpenAI6

- Whatnot6

- DoorDash6

- Adobe5

- Apple5

Top Industries Hiring
- Technology & Software97
- Banking & Financial Services21
- Retail12
- Science & Research10
- Consulting & Professional Services8
Data Analytics Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a data analytics engineer job in San Francisco?
Focus your search on the sectors that dominate San Francisco hiring: fintech, SaaS, cloud platforms, and biotech. Employers in SoMa and Mission Bay hire most actively. Strong command of dbt, Snowflake, and modern data stack tools gives candidates a clear edge here. Familiarity with healthcare or financial data pipelines stands out at many of the city's largest employers. Networking through local data engineering meetups and tech communities accelerates the process considerably.
Which companies hire data analytics engineers in San Francisco?
Employers hiring data analytics engineers in San Francisco right now include OpenAI, Whatnot, and DoorDash, based on current listings on Migrate Mate as of June 2026. San Francisco's employer mix leans heavily toward growth-stage tech companies, established enterprise software firms, and financial services organizations with large data infrastructure teams.
Are there remote data analytics engineer jobs in San Francisco?
Yes, data analytics engineering is well-suited to remote work given its desk-based, tool-driven nature. About 47% of data analytics engineer openings tied to San Francisco are remote or hybrid as of June 2026, reflecting the tech-heavy employer base in this market. Pipeline development, data modeling, and dashboard work are the functions most commonly offered as fully remote by San Francisco employers.
How can I get a data analytics engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through an analytics engineer or junior data analyst role at a growth-stage SaaS or fintech company in SoMa, where teams are smaller and scope is broader. Building a public portfolio with dbt projects or Snowflake workflows gets attention from San Francisco hiring managers. Bootcamp graduates with strong SQL and Python fundamentals have landed roles at mid-size tech firms and startups throughout the city, especially those that prioritize demonstrated work over formal credentials.
Which industries hire the most data analytics engineers in San Francisco?
The sectors hiring the most data analytics engineers in San Francisco are Technology & Software, Banking & Financial Services, and Retail, based on current listings on Migrate Mate as of June 2026. San Francisco's concentration of venture-backed tech companies, financial technology platforms, and life sciences firms creates consistent, overlapping demand for engineers who can build and maintain production-grade data pipelines.
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