Pay
In line with similar jobs
$150K–$180K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Product Analytics Engagement Manager
United States
Actively hiring, first seen by us 1 day ago- Pay
$150,000–180,000/yearPlus bonus — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine, track, and analyze KPIs across the product lifecycle
Conduct root cause analyses when performance changes
Develop and support A/B testing to measure product strategy impact
Build dashboards and insights to support product decisions
Analyze feature adoption, engagement, and retention trends
From the employer’s posting
Define, track, and analyze KPIs and success metrics across the product lifecycle
conduct root cause analyses when performance changes
Develop and support A/B testing and experimentation to evaluate product strategies
Develop dashboards, reporting, and analytical insights to support product decision-making
Analyze feature adoption, engagement, retention, and product performance trends
What you’ll bring
All qualificationsCore experience
- 7+ years in data science, product analytics, or related fields
- Bachelor's degree or higher in engineering, data science, statistics, CS, or related field
- Proficiency in SQL and Python with large-scale or event-based data
- Experience with data platforms, BI/reporting, and hypothesis testing
Qualification wording
7+ years of relevant experience in Data Science, Product Analytics, or related disciplines
Bachelor’s degree or higher in Engineering, Data Science, Statistics, Computer Science, or a related field
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
Education & alternatives
- 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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 54.
At EXL Service, jobs usually come down by about day 17.
From 7,992 similar postings that came down, and 217 of EXL Service’s. Coming down is not always a hire.
EXL Service is hiring
203 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
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
- 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
Your next step
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Has EXL Service posted this job before?
Yes. We’ve followed one other Product Analytics Engagement Manager job there since August 2026. It came down after 78 days.
About EXL Service
- People
- About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as EXLS.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
United States
Job Location: San Francisco, CA Work Mode: Hybrid (2-3 days/week in office) Salary Range: $150K - $180K/Yr Base plus bonus and benefits
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.