Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.
As a remote-first company, we’re focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.
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 likely report to the CEO or Data Lead and focus their work with the product data team.
This role will leverage a 2 day paid interview technical assignment as a part of the hiring process. For candidates that do well during the paid interview, we will consider moving to a 180 day contract or probationary period.
Job Overview
- Job Types: Part-time
- Work Setting: Work from home
- Location: Remote (Worldwide)
- Salary: $300 per day
- Employer: Array
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.
Requirements
- 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.
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