Analytics Engineer Jobs in San Francisco, CA
Analytics Engineer jobs in San Francisco are in strong demand, concentrated in SoMa, the Financial District, and Mission Bay across fintech, enterprise software, healthcare technology, and data infrastructure. Employers hiring right now include ORB, OpenAI, and Decagon. Find a role that fits below and apply directly.
Find Analytics Engineer JobsOverview
Showing 5 of 76+ Analytics Engineer jobs





About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We’re looking for an Analytics Engineer to build the data infrastructure, analytics, and automations that power decision-making and operations across Mercor.
This is a high-ownership role where you’ll work directly with business leaders to identify problems, define roadmaps, and deliver solutions end-to-end. Rather than waiting for stakeholder requests, you’ll proactively uncover bottlenecks and opportunities, often before others recognize them.
We’re looking for someone with exceptional technical ability, strong business judgment, and a bias for action. You should be a fast learner who leverages AI tools to dramatically increase your productivity and thrives in a high-intensity environment.
What You’ll Do
Drive your own roadmap: Partner directly with stakeholders, proactively identify high-impact problems, and independently prioritize and execute solutions.
Build scalable data infrastructure: Develop reliable data pipelines, models, and metrics using SQL, dbt, and Snowflake.
Own analytics end-to-end: Translate ambiguous business problems into production-ready data models, dashboards, and analytical tools.
Automate business workflows: Identify operational bottlenecks and build automations that eliminate manual work and improve efficiency.
Leverage AI to multiply output: Use AI coding agents and emerging tools to accelerate development and continuously improve how analytics engineering gets done.
What We’re Looking For
8+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related technical role.
Strong technical fundamentals: Expert SQL, data modeling, Python, dbt, cloud data warehouses, and BI tools (e.g., Hex, Looker).
Exceptional autonomy: Proven ability to independently identify problems, define roadmaps, and deliver high-impact projects with minimal direction.
Strong business judgment and communication: Able to work directly with senior stakeholders, understand business priorities, and translate ambiguity into actionable solutions.
Rapid learning and AI fluency: Quickly master unfamiliar domains and technologies, and leverage AI tools to dramatically increase productivity.
Proven track record of execution: Consistently deliver high-quality work at exceptional speed, take ownership beyond your formal responsibilities, and thrive in demanding, fast-moving environments.
Work Environment
Mercor operates at an exceptionally fast pace. This role is based in our San Francisco office five days per week, and our teams commonly work 9 AM–9 PM. We’re looking for people who are energized by this level of commitment, autonomy, and execution.
Compensation & Benefits
Mercor offers competitive compensation, meaningful equity, and comprehensive benefits.
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Compensation Range: $250K - $400K
See All 76 Analytics Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Job Market in San Francisco
Who's Hiring
- ORB13

- OpenAI8

- Decagon8

- Mind4
- MERCOR4

Top Industries Hiring
- Science & Research
- Technology & Software
Analytics Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a analytics engineer job in San Francisco?
The strongest path into San Francisco analytics engineering runs through fintech, enterprise SaaS, and health tech, where dbt, Snowflake, and Looker skills are consistently prioritized. Roles concentrate in SoMa and Mission Bay, so targeting companies headquartered in those corridors gives you an edge. Candidates who can demonstrate end-to-end data modeling experience, particularly building production-grade pipelines, stand out in this market.
Which companies hire analytics engineers in San Francisco?
Companies currently hiring analytics engineers in San Francisco include ORB, OpenAI, and Decagon, per current listings on Migrate Mate as of November 2026. San Francisco's mix of high-growth startups, established fintech firms, and healthcare technology companies makes it one of the more varied markets for analytics engineering in the country.
Are there remote analytics engineer jobs in San Francisco?
Yes, analytics engineering is one of the more remote-compatible technical roles given its desk-based, tool-driven nature. About 58% of analytics engineer openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the sector's strong distributed-work culture. Fully remote openings tend to cluster in SaaS and data infrastructure companies, while on-site or hybrid schedules are more common at fintech firms with compliance requirements.
How can I get a analytics engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is moving into analytics engineering from a data analyst or BI developer role at a mid-size SaaS or fintech company, where teams are small enough to let junior hires own data modeling work. Bootcamp graduates who can show a dbt project or a documented Snowflake pipeline get serious consideration from early-stage startups in SoMa. Internships at San Francisco's health tech and enterprise software companies also convert to full-time roles at a high rate.
Which industries hire the most analytics engineers in San Francisco?
San Francisco analytics engineer roles concentrate in Science & Research and Technology & Software, based on current listings on Migrate Mate as of November 2026. San Francisco's dense cluster of fintech headquarters, consumer technology companies, and venture-backed health tech firms creates sustained demand for analytics engineers who can translate raw data into production-ready models.
Related Jobs in California
See All 76 Analytics Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs