Senior Manager, Data Strategy & Analytics

🕒 September 1

🇺🇸 United States – Remote

💵 $145k - $160k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Happy Money

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

💸 Finance

💳 Fintech

Finance • Fintech

Happy Money is a company that offers personal loans with the goal of promoting financial happiness and well-being. They provide loans ranging from $5,000 to $40,000 at competitive rates starting from 8. 95% APR. Happy Money collaborates with community-focused lending partners to offer a transparent and simple lending process designed to help individuals pay off credit card debt and achieve personal financial goals. Checking your rate is free and doesn’t affect your credit score. Their services are aimed at fostering a debt-free lifestyle and improving members' financial confidence and credit scores.

📋 Description

• Serve as a strategic analytics partner across the organization • Translate complex data into actionable insights driving decision-making across Credit, Operations, Marketing, Product, and Finance • Develop and automate analytical workflows using Python and/or R, with code managed through GitHub • Design, build, and maintain Tableau dashboards and reports providing visibility into key business metrics • Partner with Data Engineering to build and refine Databricks data workflows supporting reporting and analytics • Conduct ad hoc analyses to answer strategic business questions and present findings with clear recommendations to leadership • Monitor data quality and proactively identify anomalies or issues in key metrics • Develop and document analytical methodologies • Evaluate opportunities to optimize processes and introduce improved approaches that enhance efficiency and scalability

🎯 Requirements

• 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 • Bonus: Experience in consumer lending, credit risk modeling, or the personal loan industry • Bonus: Passion for leveraging AI tools and generative AI to enhance analytics workflows, automate processes, or accelerate insight generation • Bonus: Familiarity with dbt or modern analytics engineering practices • Bonus: Exposure to machine learning concepts or predictive modeling techniques • Bonus: Knowledge of regulatory requirements in financial services (e.g., fair lending, FCRA) • Bonus: Experience presenting insights and recommendations to executive leadership

🏖️ Benefits

• Generous medical, dental, and vision insurance options • Eligible for Annual Bonus • 401k Plan with a matching contribution • Generous PTO including sick leave, vacation, volunteer, and more • 12 Weeks Paid Parental Leave • Company-paid short & long term disability and life insurance • Monthly tech stipend to help cover expenses for remote work • Happy Money is a 100% fully distributed workforce