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Open nowPosted today

Product Analytics Engagement Manager

EXL2,289 open roles

Pay
$150,000 – $180,000 a year
Where
United States
Work mode
Hybrid
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Your applicationOpen nowProduct Analytics Engagement ManagerEXL · United States

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. EXL postings stay open a median of 20 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted today

EXL median: 20 days open

The posting

Job Description

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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