Senior Data Analyst (Data Analytics)

Join Current, a leading consumer fintech platform, as a Senior Data Analyst. In this high-ownership role, you will work closely with leadership and cross-functional teams to own data models, drive analytical initiatives, and ensure the business has reliable, well-defined data for decision-making. You will be responsible for evolving core data models, ensuring data quality and reliability, providing actionable insights to stakeholders, and supporting the broader team with ad hoc analytics requests. This position offers company equity, a flexible vacation policy, commuter benefits, a discretionary bonus program, and medical, dental, and vision coverage.

• Posséder et faire évoluer nos modèles de données principaux, en veillant à ce que la couche d'analyse reflète fidèlement la logique commerciale.
• Collaborer directement avec la direction et les équipes interfonctionnelles pour définir, prioriser et livrer des initiatives basées sur les données.
• Assurer la qualité et la fiabilité des données sur la plateforme d'analyse, en définissant des normes, en mettant en œuvre des tests et en garantissant que les modèles sont fiables.
• Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks
• At least 2–3 years in a consumer-facing fintech, digital banking, payments, or lending environment, working closely with transactional data, product metrics, and customer behavior at scale
• Technical proficiency across the modern data stack. Advanced SQL in a cloud data warehouse environment (Snowflake, BigQuery, or Redshift) - window functions, CTEs, and complex joins. Hands-on experience with dbt or a comparable transformation tool. Working knowledge of Looker or a comparable BI/semantic layer
• Proven track record of taking analytical projects from scoping through to delivery, with ownership over outcomes not just outputs. Strong written and verbal communication; comfortable presenting findings and recommendations to non-technical stakeholders and leadership
• 5+ years in a data analytics role where you owned multiple concurrent workstreams and operated with a high degree of autonomy
• Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange - or experience working with transaction-level data at scale
• Experience working in environments where data accuracy and auditability matter - validating outputs and tracing metric definitions across systems
• Experience contributing to roadmaps, running cross-functional workstreams, or sitting alongside leadership in shaping how analytical work gets structured and prioritised - even informally
• Looker experience is ideal; any hands-on experience building explorers, views, or governed metric layers on top of a mart layer is valuable