Product Analytics Engagement Manager
- LocationUnited States
- Work typeHybrid
- Salary150k to 180k USD a year
- Posted4 November 2026
- SourceEXL's careers page (Oracle Recruiting)
Live checkFirst seen 5 days ago; still listed on EXL's careers page 4 h ago.
Moves fastWhen EXL takes a role down early, it is usually about 6 days after posting. Apply soon.
At a glance
- Experience7+ years
- EducationBachelor's degree
- Skills and toolsSQL, Python
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About the role
Job Location: San Francisco, CA
Work Mode: Hybrid (2-3 days/week in office)
Salary Range: $150K - $180K/Yr Base plus bonus and benefits
We are seeking hands-on product analytics professional to support a personal loan portfolio. This role will drive origination volume by identifying opportunities to increase demand generation by improving product features & funnel application conversion. The individual will monitor key performance metrics for business programs and campaigns, conduct root cause analyses when performance changes, and quantify the impact of initiatives through A/B testing. The ideal candidate combines strong analytical & problem-solving skills, SQL/Python coding proficiency, and brings deep expertise in campaign and funnel analytics.
Responsibilities
- Design and execute evaluation frameworks to assess product quality, accuracy, and user intent alignment
- Define, track, and analyze KPIs and success metrics across the product lifecycle
- Perform Product Analytics to understand customer behavior, product usage, and performance
- Identify data, tracking, and instrumentation gaps and improve measurement capabilities
- Develop and support A/B testing and experimentation to evaluate product strategies
- Support data pipelines, reporting, and analytics infrastructure
- Analyze feature adoption, engagement, retention, and product performance trends
- Develop dashboards, reporting, and analytical insights to support product decision-making
- Partner with Product, Engineering, Data Science, and Business teams to translate insights into actionable product improvements
Qualifications
- Bachelor’s degree or higher in Engineering, Data Science, Statistics, Computer Science, or a related field
- 7+ years of relevant experience in Data Science, Product Analytics, or related disciplines
- Proficiency in SQL and Python with experience working with large-scale products or event-based datasets
- Experience with data platforms, BI/reporting, and hypothesis testing
- Strong understanding of productperformance measurement and evaluation
- Ability to work independently, identify information gaps, and prioritize high-impact initiatives
- Experience in working with financial institutions like banks or fintech analytics
- Strong communication and stakeholder management skills with the ability to work across functions
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