Analytics Engineer

Mercor mercor.com Open

On-site San Francisco Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Mercor. San Francisco · full-time · $250,000–$400,000 base.

SalaryStated by Mercor

$250,000 – $400,000

Base salary for this role, in USD per year, as published in the posting.

This role, from MercorOur estimate for the market: $131,088–$179,375Median $155,975

Above the market median of $155,975 for mid-level data analysis & BI roles in San Francisco.

Worked out from 34 postings that stated pay, median $155,975. Last updated Nov 6, 2026.

RoleData Analysis & BI

SeniorityMid-level

LocationSan Francisco

WorkplaceOn-site

EmploymentFull-time

Base pay$250,000–$400,000

PostedOct 28, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Set your own priorities with business partners, find consequential problems, and carry solutions through delivery
Build dependable data pipelines, models, and metrics with SQL, dbt, and Snowflake
Turn unclear business questions into production data models, dashboards, and analytical tools
Find manual operational work and create automations that improve efficiency
Use AI coding agents and newer tools to speed up analytics engineering work

What you bring

At least eight years in analytics engineering, data engineering, data science, or a related technical role
Expert SQL, data modeling, Python, dbt, cloud warehouses, and BI tools such as Hex or Looker
You can independently find problems, set a roadmap, and deliver substantial projects with little direction
You bring sound business judgment and can turn senior stakeholders’ priorities into practical solutions

Who this fits

This role suits a highly autonomous engineer who learns unfamiliar areas quickly, uses AI tools to work faster, and is comfortable with demanding, rapid execution. You’ll work in person at the San Francisco office five days a week; teams commonly work from 9 AM to 9 PM.

From the employer

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.