Remote Senior Data Strategy & Analytics Leader

Bazeta

Northern (KY)

À distance

USD 145 000 - 160 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Medical, dental, and vision insurance
Annual Bonus
401k Plan with matching
Paid time off including sick leave,vac
12 Weeks Parental Leave
Disability and life insurance
Monthly tech stipend for remote work
100% distributed workforce

Résumé du poste

Happy Money is seeking a Senior Manager, Data Strategy & Analytics to join our Risk/Credit team. You will translate complex data into actionable insights across Credit, Operations, Marketing, Product, and Finance, building dashboards and analytical models in a modern cloud environment.

You will collaborate with Data Engineering to refine data workflows in Databricks, monitor data quality, and present clear recommendations to leadership.

Qualifications

  • 7+ years in BI or analytics, preferably within financial services or FinTech.
  • Strong SQL skills with experience querying cloud data warehouses such as Snowflake.
  • Proficiency in Tableau or similar visualization tools, with a portfolio of dashboards you've designed for business users.
  • Working knowledge of Python and/or R for data manipulation, analysis, and automation.
  • Familiarity with Databricks, Spark, or similar distributed computing platforms.
  • Experience using Git/GitHub for version control and collaborative development.
  • Excellent communication skills with the ability to distill complex analyses into clear narratives for diverse audiences.

Responsabilités

  • Develop and automate analytical workflows using Python and/or R, with code managed through GitHub.
  • Design, build, and maintain dashboards and reports in Tableau that provide visibility into key business metrics across Credit, Operations, Marketing, and Finance.
  • Partner with Data Engineering to build and refine data work flows in Databricks that support reporting and analytics needs.
  • Conduct ad hoc analyses to answer strategic business questions, presenting findings with clear recommendations to leadership.
  • Monitor data quality and proactively identify anomalies or issues in key metrics.
  • Develop and document analytical methodologies, continuously evaluating opportunities to optimize processes and introduce improved approaches that enhance efficiency and scalability.

Connaissances

SQL
Tableau
Python
R
Databricks
Spark
Git/GitHub
Communication skills
Financial services domain knowledge

Outils

Databricks
Snowflake
Tableau
Git/GitHub
Python
R
Spark

Description du poste

Happy Money is seeking a Senior Manager, Data Strategy & Analytics to join our Risk/Credit team. You will translate complex data into actionable insights across Credit, Operations, Marketing, Product, and Finance, building dashboards and analytical models in a modern cloud environment.

You will collaborate with Data Engineering to refine data workflows in Databricks, monitor data quality, and present clear recommendations to leadership.

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