Senior Data Strategy & Analytics Leader — Remote

Coinscapture

Northern (KY)

Hybrid

USD 145,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Annual bonus
401k with match
Paid time off
Parental leave
Disability and life insurance
Monthly tech stipend

Job summary

Happy Money is seeking a Senior Manager, Data Strategy & Analytics to join our Risk/Credit team. You will translate complex data into actionable insights and partner across Credit, Operations, Marketing, Product, and Finance.

You'll work with large datasets in a modern cloud-based environment, building dashboards, developing analytical models, and uncovering trends that help us deliver on our mission of helping people achieve financial wellness through responsible personal lending.

Qualifications

  • 7+ years in BI or analytics, preferably in financial services/FinTech.
  • Strong SQL skills and experience with Snowflake or similar cloud warehouses.
  • Proficiency in Tableau or equivalent dashboards; portfolio required.
  • Python and/or R for data manipulation and automation.
  • Experience with Databricks, Spark, or distributed computing.
  • Experience using Git/GitHub for version control and collaboration.
  • Excellent communication and ability to translate analyses for leadership.
  • Comfort in a fast-paced environment with shifting priorities.

Responsibilities

  • Develop and automate analytical workflows using Python and/or R with GitHub.
  • Design and maintain dashboards and reports in Tableau for multiple functions.
  • Collaborate with Data Engineering to refine data workflows in Databricks.
  • Conduct ad hoc analyses and present findings with recommendations to leadership.
  • Monitor data quality and flag anomalies in key metrics.
  • Document methodologies and seek optimization for efficiency/scalability.

Skills

SQL
Tableau
Python/R
GitHub
Communication
Analytics

Tools

Snowflake
Databricks
Spark
dbt
GitHub

Job description

Happy Money is seeking a Senior Manager, Data Strategy & Analytics to join our Risk/Credit team. You will translate complex data into actionable insights and partner across Credit, Operations, Marketing, Product, and Finance.

You'll work with large datasets in a modern cloud-based environment, building dashboards, developing analytical models, and uncovering trends that help us deliver on our mission of helping people achieve financial wellness through responsible personal lending.

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