Senior Data Analyst
Join Array as a Senior Data Analyst to lead data-driven insights in a remote-first fintech environment.
Posted by employer 2 years ago
First seen on Joblaze 1 month ago
Last verified on the company career page 2 hours ago
AI in the day-to-day
Leverage AI tools to think, build, and ship faster.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Analyst at Array, the individual will focus on diagnosing data issues and collaborating with engineering and product teams to enhance system reliability and performance. Proficiency in SQL, familiarity with Python, and the ability to analyze complex data flows are essential for success. This position is ideal for someone with a strong analytical mindset and a passion for continuous improvement, particularly in the fast-evolving fintech sector. Array's remote-first culture emphasizes innovation and technical curiosity, fostering an environment where experimentation is encouraged.
Joblaze insights
Quick facts
- Is the Senior Data Analyst role remote?
- Yes — Array lists this as a fully remote position.
- What's the salary range?
- Array lists $80–$80 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: API, JSON, Python, SQL.
- What seniority level is this role?
- Array targets senior candidates for this position.
- Is this full-time or contract?
- Contract for this Senior Data Analyst role at Array.
From the original posting
A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we’re facing. You will work with business and technology leaders to understand the holistic business strategy and then design and execute against technical strategies for delivery. This position will report to the product data team lead.
You Will:
- 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.
You Have:
- A curiosity about how systems, code, and data work; a knack to pull things apart and see what’s really happening under the hood.
- Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API outputs to validate what’s flowing through the system.
- Comfortable reading and reasoning about someone else’s code, identifying where things might be slowing down.
- The ability to turn ambiguous problems into clear next steps — you chase root causes.
- A mindset that values being less wrong each time — you approach analysis with humility, rigor, and a desire to continuously improve.
- Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates.
- A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.
Pay Transparency: $80/hr for the contract period.
Expected Interview Process: Recruiter conversation - Take home assignment - Meet the team/founder.
Array Offers All Full Time Employees the following Benefits and Perks (benefits start upon conversion to Full Time):
Standard company text repeated across Array's postings is omitted here.