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Company

Analytics Engineer

Mercor
San FranciscoPosted Discovered via AshbyMatch locked
On-siteFullTime4+ years expFinance

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

Not included in the source posting: what you'll do, benefits.

Skills

artificial-intelligencedbtsqllookerpythonsnowflake

Who can apply

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