Data Analyst
US$130,000 – US$175,000 / yr base salary
Posted 9 Sep 2026
Advertised as “Data Analyst, Marketing ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
| Base salary | US$130,000 – US$175,000 / yr |
|---|
Field of studyAnalytics, Computer Science, Economics, Statistics (or related)
Study levelBachelor's
DATA ANALYST, MARKETING
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 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.
ABOUT THE ROLE
At Current, data is at the core of everything we do. As a Data Analyst on the Data team, you will be responsible for driving our business intelligence to power user growth. You will own the reporting and analytics framework for marketing and acquisition. Your day to day could include working on descriptive, diagnostic and predictive analytics, modeling data in BI tools, designing templatized reports and dashboards, or creating meaningful metrics and KPIs. You will partner with analytics and data engineers to create well-structured and validated datasets from disparate unstructured sources.
As part of the Data team, you will partner closely with peers on the marketing team to generate insights to build dashboards and help develop our marketing strategies and achieve our marketing goals. You will also work closely with analytical peers and engineers to drive the business requirements for the marketing team from data modeling, data/analytics infrastructure and tooling perspective.
RESPONSIBILITIES
- Build a holistic view and understanding of the marketing spend, channel performance and attribution.
- Develop mechanisms to build audiences and segments to optimize channel and campaign performance.
- Explore, validate, and build high value datasets to power business intelligence and marketing strategies.
- Iterate on our complex channel attribution logic and methodologies; make sure they are up-to-date and effective as we grow.
- Design robust experiments including incrementality tests and measure the tests with actionable metrics and learnings.
- Drive metrics standardization and build consensus with marketing and other stakeholders.
- Establish Looker as a primary data reporting and analytics tool. Build modular data models in Looker for efficient and sophisticated data analysis.
- Drive data modeling requirements for analytics and data engineers.
- Champion opportunities for advanced analytical techniques to further our understanding of our customer and business and to improve business results (e.g., segmentation predictive modeling).
- Help team(s) quantify their goals and KPIs/OKRs.