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EXL

Product Analytics Engagement Manager

Posted 3 Days Ago
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

HQ

EXL New York, New York, USA Office

320 Park Avenue, 29th Floor, New York, NY, United States, 10022

EXL Jersey City, New Jersey, USA Office

Jersey City, United States, 0

EXL Newark, New Jersey, USA Office

Newark, United States

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