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Location
Hybrid (United States)
Seniority
Senior · 7+ years exp
Visa
H-1B filings in 12 months: 281 · for this role: 93 · green card filings: 17

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 4, 2026. EXL scores B on the Alion truth index.

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EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

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.

  • 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

  • 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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