Product Analytics Engagement Manager
EXL San Francisco, California, United States · $150K–$170K/yr
Business Consulting and Services · 10,001+ employees
About the role
Identify and quantify lost issuance opportunities across the customer acquisition and application journey. Drive growth in originated accounts and funded volume by uncovering leakage points in marketing funnels and underwriting pathways.
What they look for
Requirements
Requires 7+ years of experience in funnel, digital, or product analytics with advanced proficiency in SQL, Python, or R. A Master’s degree in a quantitative field is preferred, though a Bachelor's degree from a top-tier institution is also acceptable.
Full description
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
Responsibilities
- 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.
Qualifications
- 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.
