Job Summary:
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making across the business.
Responsibilities:
• Own and evolve our 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 before they reach consumers.
• Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends - translating complex data into decisions.
• Take ownership of reconciliation workflows, cross-checking mart outputs against source systems and flagging discrepancies.
• Support the broader team with ad hoc analytics requests, with each task building domain context across Current’s metrics and business logic.
• Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations.
Qualifications:
Required:
• 5+ years in a data analytics role where you owned multiple concurrent workstreams and operated with a high degree of autonomy.
• 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.
• 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.
• 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.
• Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks.
Preferred:
• 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.
• Looker experience is ideal; any hands-on experience building explorers, views, or governed metric layers on top of a mart layer is valuable.
• Experience contributing to roadmaps, running cross-functional workstreams, or sitting alongside leadership in shaping how analytical work gets structured and prioritised - even informally.
Company:
Current is a leading consumer fintech banking platform transforming financial access for everyday Americans. Founded in 2015, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.