DRH Search
What you'll be doing:
Owning the marketing data science function to drive aggressive growth.
Building product-facing data work to provide customers with the best financial information.
Conducting analysis for risk and underwriting, especially for customer loans.
Dissecting messy big datasets to extract valuable insights.
Driving strategy and shaping the direction of the product.
What you'll bring:
5+ years experience in customer analytics, data science, financial analysis, or a related quantitative field
Strong background in statistics, machine learning, computer science, or quantitative discipline, especially with large data sets. Comfortable working with messy real-world data is a must
Experience analyzing customer behavior, product usage, lifecycle metrics, or financial/transactional datasets
Ability to synthesize complex data into clear insights and compelling narratives for non-technical audiences
Familiarity with e-commerce fundamentals (conversion, CAC, LTV, margin structure, inventory cycles) or strong willingness and ability to become an expert quickly
Comfort working cross-functionally with Product, CS, or GTM teams
Nice to haves:
Experience with fintech, e-commerce, lending, or D2C businesses
Background in FP&A or consumer insights research
Experience leading open-ended financial market research and generating useful insights
Experience launching a public facing data visualization or DaaS product is a plus
#J-18808-Ljbffr
Owning the marketing data science function to drive aggressive growth.
Building product-facing data work to provide customers with the best financial information.
Conducting analysis for risk and underwriting, especially for customer loans.
Dissecting messy big datasets to extract valuable insights.
Driving strategy and shaping the direction of the product.
What you'll bring:
5+ years experience in customer analytics, data science, financial analysis, or a related quantitative field
Strong background in statistics, machine learning, computer science, or quantitative discipline, especially with large data sets. Comfortable working with messy real-world data is a must
Experience analyzing customer behavior, product usage, lifecycle metrics, or financial/transactional datasets
Ability to synthesize complex data into clear insights and compelling narratives for non-technical audiences
Familiarity with e-commerce fundamentals (conversion, CAC, LTV, margin structure, inventory cycles) or strong willingness and ability to become an expert quickly
Comfort working cross-functionally with Product, CS, or GTM teams
Nice to haves:
Experience with fintech, e-commerce, lending, or D2C businesses
Background in FP&A or consumer insights research
Experience leading open-ended financial market research and generating useful insights
Experience launching a public facing data visualization or DaaS product is a plus
#J-18808-Ljbffr