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Salary
$130k – $175k per year
Location
In office (New York)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
Current is a consumer fintech offering banking services through a mobile application. Features include early direct deposit, fee-free overdraft and teen accounts with parental controls. The company partners with chartered banks to hold customer deposits.

Join Current, a leading fintech company, as a Data Analyst on the Data team. In this role, you will drive business intelligence to power user growth, own the reporting and analytics framework for marketing and acquisition, and partner closely with the marketing team to generate insights and develop marketing strategies. You will also work with analytics and data engineers to drive business requirements and establish Looker as the primary data reporting and analytics tool.

Missions

  • Ownership of the reporting and analytics framework for marketing and acquisition, including working on descriptive, diagnostic, and predictive analytics.
  • Partnering with analytics and data engineers to create well-structured and validated datasets from disparate unstructured sources.
  • Driving metrics standardization and building consensus with marketing and other stakeholders, while establishing Looker as a primary data reporting and analytics tool.

Profil recherché

- 1+ years of working in acquisition/growth marketing domain (preferably in a B2C company)

- Experience with A/B testing and experimental design

- Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc)

- 3+ years of experience as a data analyst for 3, ideally in B2C, financial services, or technology

- Proficient in utilizing data visualization tools like Looker, Tableau, or other similar platforms

- Excellent analytical and problem-solving skills with a strong attention to detail

- Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences

- Working experience with Python for data analysis

- Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field

- Strong business acumen and the ability to translate business questions into data analysis plans

- Experience working within Fintech, Financial Services, Banks

- Experience modeling data in dbt

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