​This is a remote Senior Data Analyst role at Array, a financial innovation platform (fintech), that focuses heavily on the technical aspects of data, code reliability, and system performance. The analyst will lead engineering and product teams in solving complex data quality and performance challenges, working at the intersection of data, engineering, and product strategy.

• ​Location: Remote (USA or Canada).
• ​Compensation (Contract Period): $80/hour for the 180-day contract/probationary period.
• ​Hiring Process: Includes a 2-day paid interview technical assignment ($300/day).
• ​Reporting: Likely reports to the CEO or Data Lead.
• ​Focus: Chasing root causes, tracing issues through data pipelines and code, optimizing data and code for reliability and speed, and leveraging AI tools to accelerate work.

​Key Responsibilities: Root Cause Analysis and System Improvement

​This role is highly technical, demanding curiosity about systems and a focus on continuous improvement in data reliability.

• ​Technical Troubleshooting: Trace issues back through data pipelines or code to uncover why something isn’t behaving as expected.
• ​Code Reliability Partnership: Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
• ​Data Investigation: Dig into JSONs, logs, or API outputs to validate data flow through the system.
• ​Documentation: Write clear, concise Jira tickets explaining findings, fixes, and prevention methods.
• ​Culture Building: Help build a culture of technical curiosity, where asking “why” and testing assumptions is part of every release.
• ​AI Acceleration: Leverage AI tools to think, build, and ship faster, viewing AI as an essential part of accelerating all work.

​🛠️Required Skills and Mindset

​The ideal candidate has a deep technical curiosity and strong skills in querying and reading code.

• ​Technical Expertise:
  • ​Strong knowledge of SQL.
  • ​Familiarity with Python.
  • ​Comfort reading and reasoning about someone else’s code, identifying where things might be slowing down.
• ​Investigative Mindset: A knack for pulling things apart to see what’s really happening “under the hood.”
• ​Problem Solving: The ability to turn ambiguous problems into clear next steps and chase root causes.
• ​Business Impact: Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates.
• ​AI Belief: A belief that AI is reshaping work and the instinctive use of it to accelerate everything done.