Senior Data Strategy & Analytics Leader (Remote)

Happy Money; United States; Remote; USD 145,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Annual bonus

401k

Paid PTO & holidays

Parental leave

Disability & life insurance

Remote work stipend

Fully distributed workforce

Job summary

Happy Money seeks a Senior Manager, Data Strategy & Analytics to partner with Risk/Credit, Operations, Marketing, Product, and Finance. You’ll translate complex data into insights, build dashboards, and develop models in a cloud-based environment to drive decisions and financial wellness.

You will lead analytics workflows, ensure data quality, and communicate recommendations to executives in a fast-paced, fully distributed company with a flexible remote model.

Qualifications

• 7+ years of experience in business intelligence, data analytics, or a related field, 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.
• Comfort operating in a fast-paced environment where priorities shift and ambiguity is common.

Responsibilities

• 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

Skills

SQL

Snowflake

Tableau

Python/R

Databricks

Git/GitHub

Communication

Adaptability

Tools

GitHub

Job description

Happy Money seeks a Senior Manager, Data Strategy & Analytics to partner with Risk/Credit, Operations, Marketing, Product, and Finance. You’ll translate complex data into insights, build dashboards, and develop models in a cloud-based environment to drive decisions and financial wellness.

You will lead analytics workflows, ensure data quality, and communicate recommendations to executives in a fast-paced, fully distributed company with a flexible remote model.