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Product Analytics Engagement Manager

San Francisco, California, United States

Pay
$150,000–170,000/yearLocation-specific pay — pay source
We are seeking a hands-on product and marketing analytics professional to support a personal loan and deposit portfolio. This role will drive origination volume by identifying opportunities to increase demand generation across marketing channels and improve funnel 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. Work Location: San Francisco, CA Work Mode: Hybrid (2-3 days/week in office) Salary Range: $150K/Yr - $170K/Yr Base + Annual Bonus The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
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Work setting
Hybrid — work setting source
We are seeking a hands-on product and marketing analytics professional to support a personal loan and deposit portfolio. This role will drive origination volume by identifying opportunities to increase demand generation across marketing channels and improve funnel 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. Work Location: San Francisco, CA Work Mode: Hybrid (2-3 days/week in office) Salary Range: $150K/Yr - $170K/Yr Base + Annual Bonus The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at EXL Service

What you’ll work on

Full posting
  • Identify demand-generation and conversion opportunities from channel and funnel data

  • Design and evaluate A/B tests on approval rates, conversion, and funded volume

  • Build executive dashboards and measurement frameworks for funnel performance

  • Conduct root cause analyses when performance changes

  • Quantify impact and turn findings into prioritized business recommendations

From the employer’s posting
Identify demand-generation and conversion-improvement opportunities by analyzing marketing channel and customer funnel data.
Design and evaluate experiments aimed at improving approval rates, customer conversion, and funded volume.
Build executive-ready dashboards to track key performance metrics for initiatives and campaigns
conduct root cause analyses when needed
Translate analytical findings into prioritized business recommendations supported by quantified impact estimates.

What you’ll bring

All qualifications

Preferred experience

  • Experience working with web analytics platforms such as Heap, Google Analytics, or similar tools.
  • Experience with Heap is preferred.
Qualification wording
Experience working with web analytics platforms such as Heap, Google Analytics, or similar tools. Experience with Heap is preferred.
Education & alternatives
- Ability to independently identify opportunities, develop recommendations, and influence cross-functional stakeholders. - Bachelor's degree in economics, mathematics, computer science, engineering, operations research, statistics, or a related quantitative field. Preferred Qualifications:

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
We are seeking a hands-on product and marketing analytics professional to support a personal loan and deposit portfolio. This role will drive origination volume by identifying opportunities to increase demand generation across marketing channels and improve funnel 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. Work Location: San Francisco, CA Work Mode: Hybrid (2-3 days/week in office) Salary Range: $150K/Yr - $170K/Yr Base + Annual Bonus
- 7+ years of experience in funnel analytics, digital analytics, marketing analytics, conversion optimization, product analytics, growth analytics, or customer journey analytics. - Advanced proficiency in SQL and at least one analytical programming language, such as Python or R. - Strong analytical and structured problem-solving skills.

Posting record

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Status in our records
Live
First seen by us
Aug 18, 2026 · 74 days ago
Recorded sightings
306
Last seen by us
Oct 31, 2026

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Job description

View original posting ↗

We are seeking a hands-on product and marketing analytics professional to support a personal loan and deposit portfolio. This role will drive origination volume by identifying opportunities to increase demand generation across marketing channels and improve funnel 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.

Work Location: San Francisco, CA
Work Mode: Hybrid (2-3 days/week in office)
Salary Range: $150K/Yr - $170K/Yr Base + Annual Bonus

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process

For more information on benefits and what we offer please visit us at US Careers and Benefits

  • Identify demand-generation and conversion-improvement opportunities by analyzing marketing channel and customer funnel data.

  • Quantify the business impact of identified opportunities and support prioritization based on value, feasibility, and strategic relevance.

  • Develop measurement frameworks to monitor funnel performance, conversion rates, and leakage trends.

  • Partner closely with Product, Marketing, Credit Risk, Operations, and Engineering teams to implement improvements.

  • Design and evaluate experiments aimed at improving approval rates, customer conversion, and funded volume.

  • Build executive-ready dashboards to track key performance metrics for initiatives and campaigns, and conduct root cause analyses when needed.

  • Translate analytical findings into prioritized business recommendations supported by quantified impact estimates.

  • Support the development of business cases for strategic growth initiatives.

  • 7+ years of experience in funnel analytics, digital analytics, marketing analytics, conversion optimization, product analytics, growth analytics, or customer journey analytics.

  • Advanced proficiency in SQL and at least one analytical programming language, such as Python or R.

  • Strong analytical and structured problem-solving skills.

  • Demonstrated experience in funnel analysis and conversion optimization.

  • Strong written and verbal communication, stakeholder management, and consulting skills.

  • Ability to independently identify opportunities, develop recommendations, and influence cross-functional stakeholders.

  • Bachelor's degree in economics, mathematics, computer science, engineering, operations research, statistics, or a related quantitative field.

    Preferred Qualifications:

  • Experience working with web analytics platforms such as Heap, Google Analytics, or similar tools. Experience with Heap is preferred.

Source details

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