Senior Data Analyst

Role Overview

Senior Data Analyst at Array (remote-first). You will work with business and technology leaders and partner with engineers and product managers to diagnose issues, improve data and code reliability, and deliver data-driven insights for product and growth.

The role is likely to report to the CEO or Data Lead and focuses on the product data team. The hiring process includes a 2-day paid technical assignment.

Responsibilities

• Trace issues back through data pipelines and/or code to identify why systems aren’t behaving as expected.
• Create clear, concise Jira tickets describing findings, fixes, and prevention steps.
• Partner with engineers and product managers to make data/code more reliable, faster, and easier to understand.
• Build a culture of technical curiosity—ask why, test assumptions, and apply learning each release.
• Leverage AI tools to think, build, and ship faster.

Requirements

• Curiosity about how systems, code, and data work; strong ability to inspect internals and root causes.
• Strong SQL; familiarity with Python.
• Experience investigating JSONs, logs, and API outputs to validate what flows through the system.
• Ability to read and reason about someone else’s code and identify performance bottlenecks.
• Convert ambiguous problems into clear next steps; pursue root causes.
• Analytical mindset focused on data-driven insights (including improving UX and conversion rates).
• Comfort using AI to accelerate work.

Nice to Have / Hiring Process Notes

• Participation in a 2-day paid interview technical assignment.
• For strong performance, consideration for a 180-day contract/probationary period.