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EXL

Product Analytics Engagement Manager

Posted Yesterday
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Remote or Hybrid
Hiring Remotely in United States
150K-180K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
150K-180K Annually
Senior level
Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.
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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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