Analytics Engineer

Job summary

Responsibilities

We’re looking for an Analytics Engineer to build the data infrastructure, analytics, and automations that power decision-making and operations across Mercor.

• 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 they'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.

Tech stack

• SQL
• dbt
• Snowflake
• Python
• Looker