About this role
The team is a high-growth fintech platform that is scaling two core data initiatives: a credit bureau intelligence engine and an embedded health membership product. We are seeking a Data Analyst / Analytics Engineer to join our team. This role sits at the intersection of credit data, user behavior, and multi-channel campaign analytics to power real-time eligibility engines, customer targeting models, and product mapping.
Key Responsibilities:
- Analyze and interpret complex data sets related to credit and user behavior.
- Develop and maintain automated underwriting logic using financial signals.
- Collaborate with cross-functional teams to design and implement data-driven solutions.
- Create and optimize customer targeting models to enhance marketing efforts.
- Support the development of real-time eligibility engines for various products.
Required Skills & Qualifications:
- Proficiency in data analysis tools and languages such as SQL, Python, or R.
- Experience with data visualization tools like Tableau or Power BI.
- Strong understanding of statistical analysis and predictive modeling techniques.
- Familiarity with fintech concepts and credit data analytics is a plus.
- Excellent problem-solving skills and attention to detail.
Experience:
- 3-5 years of experience in data analysis or analytics engineering, preferably within the fintech industry.
What we offer:
- Opportunity to work in a dynamic and innovative environment.
- Chance to contribute to impactful projects that shape the future of fintech.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.