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Senior Data Analyst, Data Analytics

Senior Data Analyst to own data models, ensure analytics quality, and deliver insights for a consumer fintech. Requires 5+ years analytics experience and 2-3 years in fintech with advanced SQL, dbt, Looker, and Python.

About the job

Responsibilities

  • Own and evolve core data models, ensuring the analytics layer accurately reflects business logic across the company’s unit economics model
  • Partner directly with leadership and cross-functional teams (Product, Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives
  • Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ensuring models are trustworthy
  • Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends
  • Take ownership of reconciliation workflows, cross-checking mart outputs against source systems
  • Support the broader team with ad hoc analytics requests
  • Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations

Requirements

  • 5+ years in a data analytics role with ownership of multiple concurrent workstreams and high autonomy
  • 2–3 years in consumer-facing fintech, digital banking, payments, or lending environment working with transactional data, product metrics, and customer behavior at scale
  • Proven track record taking analytical projects from scoping through delivery
  • Strong written and verbal communication; comfortable presenting to non-technical stakeholders and leadership
  • Advanced SQL in a cloud data warehouse (Snowflake, BigQuery, or Redshift) - window functions, CTEs, complex joins
  • Hands-on experience with dbt or comparable transformation tool
  • Working knowledge of Looker or comparable BI/semantic layer
  • Python for scripting and automation

Nice-to-Haves

  • Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange
  • Experience working in environments where data accuracy and auditability matter
  • Experience building explorers, views, or governed metric layers
  • Experience contributing to roadmaps and running cross-functional workstreams

Compensation & Benefits

  • Base salary range: $150,000-$200,000
  • Equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA
  • Employee Assistance Programs
  • Healthcare advocacy program
  • Access to mental health apps
  • Team building activities

Skills

SQL, Snowflake, BigQuery, Redshift, dbt, Looker, Python, Data Modeling, Data Quality, Dashboarding

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