Senior Data Analyst, Data Analytics

Current•New York, NY

23h•$150,000 - $200,000•Onsite

About The Position

We are looking for a Senior Data Analyst to play a central role in how we build, govern, and scale our analytics function. 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 to make decisions from. This is a high-ownership role that sits at the intersection of data engineering rigour and business-facing analytics - suited to someone who is equally comfortable shaping a governance framework as they are presenting insight to a non-technical audience.

Requirements

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.

Nice To Haves

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.

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.

Benefits

Competitive salary
Meaningful 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 benefit
Employee Assistance Programs focused on mental health
Healthcare advocacy program for all employees
Access to mental health apps
Team building activities
Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches