Position Details
About this role
This role involves transforming raw trade and transaction data into consumer features to support credit lifecycle decisions. The analyst will apply statistical techniques, validate data, and build dashboards to communicate insights.
Key Responsibilities
- Engineer and validate consumer-level attributes
- Apply statistical techniques to uncover insights
- Monitor attribute performance for stability and accuracy
- Build dashboards and visualizations
- Collaborate with engineering to productionalize prototypes
Technical Overview
The technical environment includes data transformation, statistical analysis, and visualization with Tableau. The role requires working with credit bureau and alternative data sources to develop scalable, accurate data solutions.
Ideal Candidate
The ideal candidate is an experienced data engineering analyst or scientist with expertise in transforming raw data into actionable insights, proficiency in statistical techniques, and strong visualization skills, particularly with Tableau. They should be capable of collaborating across teams and working fully remotely.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data transformation and validation, No proficiency in Tableau, Inability to work remotely, No experience with credit bureau or alternative data sources
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