Analytics Engineer

MERCOR; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity grant vested over 4 years

Relocation bonus up to 15000 USD

Housing bonus up to 10000 USD

Meal stipend $1,500 monthly

Equinox membership

Laundry reimbursement

Wellness reimbursement

Health, Dental, Vision insurance

401(k) with company match

Job summary

Mercor seeks an Analytics Engineer to build the data infrastructure, analytics, and automations that power decision-making and operations. This high-ownership role works directly with business leaders to identify problems, define roadmaps, and deliver end-to-end solutions using SQL, dbt, Python, and AI tools.

You will thrive in a fast-paced environment and be based in our San Francisco office five days a week, collaborating with researchers, operators, and AI partners.

Qualifications

• 8+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related technical role.
• Strong technical fundamentals: SQL, data modeling, Python, dbt, cloud data warehouses, and BI tools (e.g., Hex, Looker).
• Exceptional autonomy: independently identify problems, define roadmaps, and deliver high-impact projects with minimal direction.
• Strong business judgment and communication: work with senior stakeholders and translate ambiguity into actionable solutions.

Responsibilities

• Drive your own roadmap by partnering with stakeholders and prioritizing high-impact problems.
• Build scalable data infrastructure with SQL, dbt, and Snowflake.
• Own analytics end-to-end from data models to dashboards and tools.
• Automate business workflows to reduce manual work and improve efficiency.
• Leverage AI coding agents and tools to accelerate development and output.

Skills

SQL

Data modeling

Python

dbt

Cloud data warehouses

BI tools

Tools

Snowflake

Hex

Looker

Job description

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