Senior Data Analyst: Accelerate Fintech Growth (Remote)

Array; Northern (KY); Hybrid; USD 110,000 - 152,000; Full time

Job summary

Array, a financial innovation platform, is seeking a Senior Data Analyst to lead data analysis and collaborate with engineering and product teams. You will work with business and technology leaders to design and execute technical strategies for delivery and report to the CEO.

Responsibilities include tracing data issues, writing Jira tickets, partnering with engineers to improve data reliability, and fostering a culture of technical curiosity while leveraging AI tools to accelerate work.

Qualifications

• Strong knowledge of SQL and familiarity with Python.
• Experience digging into JSONs, logs, or API outputs to validate data flows.
• Ability to read and reason about others' code.
• Turn ambiguous problems into clear next steps by chasing root causes.
• Humility, rigor, and a desire to continuously improve.
• Ability to develop data-driven insights to improve UX and conversions.

Responsibilities

• Trace issues back through data pipelines or code to uncover why something isn’t behaving as expected.
• Write clear, concise Jira tickets explaining what was found, how it was fixed, and how to prevent similar issues.
• Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
• Help build a culture of technical curiosity — where asking why and testing assumptions is part of every release.
• Leverage AI tools to think, build, and ship faster.

Skills

SQL

Python

JSON

APIs

Data analysis

Root cause analysis

AI tooling

Attention to detail

Tools

Jira

Job description

Array, a financial innovation platform, is seeking a Senior Data Analyst to lead data analysis and collaborate with engineering and product teams. You will work with business and technology leaders to design and execute technical strategies for delivery and report to the CEO.

Responsibilities include tracing data issues, writing Jira tickets, partnering with engineers to improve data reliability, and fostering a culture of technical curiosity while leveraging AI tools to accelerate work.