Senior Principal Product Analytics Strategist

Gen; New York (NY); Hybrid; USD 158,000 - 180,000; Full time

Benefits offered by this job

401(k) matching

HSA funding

Wellness reimbursement

Home improvement allowance

Tuition reimbursement

Job summary

Gen is hiring a Sr. Principal BI Analyst in New York to lead product analytics and analytics strategy within Engine by MoneyLion.

You will shape measurement frameworks, own cross-domain analytics, and partner with Product, Engineering, Revenue and Operations to drive data-informed decisions. You will guide complex experiments, define success metrics, and translate insights into actionable recommendations for senior leadership, supporting strategic investment and product initiatives.

Qualifications

• 6+ years in Product Analytics, BI, Data Analytics, or related roles.
• Experience supporting product organizations within fintech, marketplace, SaaS, tech, or data-driven environments.
• Extensive experience partnering with Product Management, Engineering, and senior stakeholders.

Responsibilities

• Drive Product and Business Strategy with data-driven recommendations and business cases.
• Lead Analytics across multiple product domains and define North Star metrics and KPIs.
• Establish analytics and experimentation standards; design and evaluate complex A/B tests.
• Influence Product Development lifecycle from discovery to post-launch optimization with measurement plans.
• Lead deep-dive analyses of customer behavior and marketplace dynamics to quantify impact.
• Act as SME on Engine's product and data ecosystem across cross-functional teams.

Skills

SQL

Product Analytics

A/B Testing

Communication

Statistical Modeling

Education

Bachelor's degree

Tools

Snowflake

dbt

Looker

Amplitude

Python

R

Job description

Gen is hiring a Sr. Principal BI Analyst in New York to lead product analytics and analytics strategy within Engine by MoneyLion.

You will shape measurement frameworks, own cross-domain analytics, and partner with Product, Engineering, Revenue and Operations to drive data-informed decisions. You will guide complex experiments, define success metrics, and translate insights into actionable recommendations for senior leadership, supporting strategic investment and product initiatives.