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Current
New York, NY
Source: Current careers · View original posting
From Current's posting. “We” and “our” refer to the employer.
Senior Data Analyst
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
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.
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.
Additional Skills and Qualifications
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.
This role has a base salary range of $150,000-$200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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