Data Analyst

Role Overview

The PR&D Data Analyst is the technical backbone of the team, building the data infrastructure and automation that lets our FinOps and product/R&D analytics processes run on AI. This role owns the engineering side of our data pipelines end to end, making sure our data is reliable, well-structured, and ready for both human and AI consumption.

What You Will Do

Build data processes and structures that make the team’s data usable and accessible for AI/LLM consumption. Own the engineering and infrastructure of all data pipelines across the team’s domains: build, run, and maintain them so they’re reliable, well-structured, and performant.

Why It Might Be a Fit

Collaborate closely with analysts on both tracks to understand data needs and translate them into robust solutions. Troubleshoot and optimize existing pipelines and automations, proactively identifying points of failure or inefficiency.

Requirements

• 3-5 years of experience in data engineering, analytics engineering, or a similar hands-on technical data role
• Excellent SQL skills
• Strong hands-on experience building and maintaining data pipelines (e.g., Airflow, dbt, or similar orchestration/transformation tools)
• Experience with BI/visualization tools (Looker, Tableau, or similar)
• Hands-on experience working with AI tools (e.g., Claude Code, Cursor, Codex, or similar) as part of a daily workflow, and building AI-consumable data structures
• Degree in Industrial Engineering, or a similar field
• Independent, able to juggle multiple technical priorities across domains simultaneously
• All-in approach with high accountability, a sense of ownership, and passion
• Good communication skills – able to work cross-functionally with both FinOps and product/R&D analysts

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa/relocation support
• Remote flexibility

Tagged as: Data Analysis