Product Analyst, Tech Platform & Data

About the role

Join us, and help redefine how the world’s most innovative lenders do business. We are looking for a detail-oriented and technically sharp Product Analyst to support the strategy and execution of our core technical platform and data infrastructure products.

Responsibilities

• Own the collection, analysis, and reporting of key platform metrics including system uptime, API latency, developer deployment frequency, and data quality scores.
• Build and maintain dashboards to track platform health and adoption trends across internal consumers.
• Proactively surface anomalies, regressions, or usage trends and translate them into clear product recommendations.
• Support the Product Manager in writing and maintaining PRDs, epics, user stories, and acceptance criteria.
• Conduct research and competitive analysis to inform roadmap decisions.
• Document findings from stakeholder interviews, incident reviews, and backlog grooming sessions.
• Gather and synthesize feedback from internal platform consumers such as application developers, data analysts, and other PMs to identify friction points and unmet needs.
• Aid in running lightweight discovery sessions and translating qualitative feedback into structured problem statements.
• Maintain data pipeline health and flag issues across ingestion, transformation, and delivery layers.
• Work with Engineering and Data teams to validate data quality and ensure accuracy of reported metrics.
• Track sprint progress, manage the product backlog under PM direction, and flag risks or blockers.
• Coordinate dependency management across platform and application teams.

Requirements

• 2–4 years of experience in a product analyst, data analyst, business analyst, or associate PM role, ideally in a technical or platform product environment.
• Strong SQL proficiency comfortable writing complex queries against data warehouses (Snowflake, BigQuery, or similar) to answer product questions independently.
• Working knowledge of data infrastructure concepts: data pipelines, APIs, data warehousing, and BI tools (Tableau, Metabase, etc.).
• Familiarity with cloud and microservices environments (AWS/GCP/Azure, REST APIs, containerization concepts) - you don't need to write infrastructure code, but you should be able to read architecture docs and ask the right questions.
• Clear written communication - able to translate technical findings into crisp summaries for both engineers and business stakeholders.
• Experience with project/product tools such as Jira, Confluence, or equivalent.
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related analytical field or equivalent hands-on experience.

Qualifications

• Nice to have: Exposure to CI/CD pipelines, dbt, or Airflow.
• Experience in a fintech or enterprise SaaS environment.
• Familiarity with internal developer platforms (IDPs) or platform engineering concepts.
• Prior experience supporting a senior PM or working in an embedded analytics function.