# Director of Analytics

**Company:** [Creditgenie](https://hotfix.jobs/companies/creditgenie)
**Location:** Plymouth Meeting, PA, New York, NY
**Role:** Data Analytics
**Salary:** $215k – $260k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, Tableau, Looker, Sigma, AWS, Snowflake, dbt, A/B Testing, Experimentation
**Posted:** 2026-06-08

> Lead analytics strategy and a team of analysts to drive product decisions, growth, and customer outcomes at a fintech platform. Requires 8+ years in product analytics and 3-5 years leading teams.

## Job Description

## What You'll Do
- Define and lead company-wide analytics strategy, including measurement frameworks, reporting standards, experimentation practices, and decision intelligence capabilities.
- Build and mentor a high-performing team of analysts responsible for delivering insights that shape product strategy and roadmap decisions.
- Define and monitor core product KPIs including activation, engagement, retention, funnel performance, and lifetime value.
- Lead deep-dive analyses of user behavior, feature adoption, and customer journeys to uncover growth opportunities and inform product strategy.
- Establish and scale experimentation frameworks, including A/B testing and experimentation design, to evaluate product features and initiatives.
- Partner with internal teams to shape product roadmaps and prioritize initiatives based on measurable customer and business impact.
- Ensure rigorous measurement of new features and product initiatives to validate impact and guide iteration.
- Build dashboards and self-serve analytics that enable stakeholders to monitor product performance and make informed decisions.
- Partner with Data Engineering to strengthen metric definitions, data models, semantic layer adoption, and governed reporting.

## Requirements
- 8–10+ years of experience in product analytics, data science, or quantitative analytics, ideally in fintech or consumer tech.
- 3–5+ years of experience leading analytics teams.
- Master’s degree in Analytics, Economics, Statistics, Mathematics, Computer Science, or similar quantitative field.
- Advanced SQL and strong Python or similar analytical programming skills.
- Experience with BI tools such as Sigma, Tableau, Looker, or similar platforms.
- Strong experience with product metrics, experimentation, and growth analytics.
- Familiarity with modern data platforms such as AWS, Snowflake, and dbt.
- Excellent communication and cross-functional collaboration skills.
- Comfortable operating in fast-paced, high-growth environments.

## Benefits and Perks
- 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
- Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox.
- 401(k) with a 3.5% match and immediate vesting.
- Meal program available for both lunch and dinner.
- Pre-tax benefits, including a $1,000 HSA match.
- Life and accidental insurance.
- Flexible PTO.

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