Data Analyst, Operations

Role overview Partner with operations and customer support leaders to use data in improving processes and customer outcomes. This analyst owns investigations from question framing through measurement and recommendations, while building repeatable reporting that helps teams make decisions without relying on one-off analysis.

Responsibilities - Frame operational questions, define measures, and deliver evidence-based analysis that can inform roadmap decisions. - Build working relationships with operations leaders and cross-functional partners, setting expectations and explaining trade-offs. - Investigate operational data to identify trends and opportunities, then turn findings into practical recommendations. - Create and maintain dashboards, metric definitions, reusable queries or notebooks, and documentation for self-service use. - Help stakeholders use analytics tools effectively and guide decisions with data. - Review teammates’ work, share feedback, and manage commitments as priorities and evidence change.

Requirements - 4+ years of data analytics experience, including work with operations teams to drive improvements. - Advanced SQL and experience with a business intelligence tool such as Looker, Tableau, Databricks, or Power BI. - Knowledge of data systems and methods for delivering accurate, repeatable self-service analytics. - Strong stakeholder communication and ability to manage ambiguous work proactively. - Careful approach to data quality, methods, limitations, and the risks of incorrect metrics.

Nice to have Experience with dbt or Airflow, and background in fintech, banking, or finance. Familiarity with BigQuery, Looker, Amplitude, or related analytics tools is relevant.

Benefits and work setup Listed compensation is $120,000–$160,000 plus bonus and benefits. Benefits include health, dental, and vision coverage, retirement matching, and unlimited paid time off. Lunch, snacks, coffee, and commuter benefits are described for in-office work.