Products Analytics Manager


K-Tek Resourcing LLC
Dice Job Match Score™
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Job Details
Skills
- Acquisition
- Analytics
- Customer Acquisition
- Problem Solving
- Marketing Analytics
- Communication
- Demand Generation
- FOCUS
- Dashboard
- Marketing
- Conflict Resolution
- Python
- Programming Languages
- R
- Product Marketing
Summary
Role and Responsibilities:
We are seeking a hands-on Issuance Leakage Analytics Lead to identify and quantify lost issuance
opportunities across the customer acquisition and application journey. The role will focus on uncovering
leakage points throughout marketing funnels, customer journeys, underwriting pathways, and demand
generation processes to drive growth in originated accounts and funded volume. The ideal candidate
possesses strong funnel analytics expertise, web analytics experience, and a consulting mindset capable
of moving from problem identification to actionable business recommendations.
Key Responsibilities
Identify issuance leakage opportunities throughout acquisition, application, approval, and funding
funnels.
Quantify business impact associated with customer drop-off, under-penetration, and missed
demand.
Analyze customer journeys across digital channels to identify friction points, conversion gaps, and
behavioral patterns.
Conduct funnel diagnostics and root-cause analyses to isolate drivers of conversion loss.
Develop measurement frameworks to monitor funnel performance 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 and business reviews tracking leakage, conversion, and growth
opportunities.
Translate analytical findings into prioritized business recommendations with quantified impact
estimates.
Support business case development for strategic growth initiatives.
Candidate Profile:
7+ years of experience in Funnel Analytics, Digital Analytics, Marketing Analytics, Conversion
Optimization, Product Analytics, Growth Analytics, or Customer Journey Analytics.
Advanced proficiency in analytics tools and programming languages (SQL,Python, R, or similar)
Strong analytical problem-solving skills.
Experience working with web analytics platforms such as: HEAP (preferred), Google Analytics
etc.
Experience performing funnel analysis and conversion optimization.
Strong communication and consulting skills.
Ability to independently identify opportunities and influence stakeholders.
Master’s degree in economics, mathematics, computer science/engineering, operations
research, or related analytics areas; candidates with BA/BS degrees in the same fields from top-
tier academic institutions are also welcome to apply.
- Dice Id: 10411276
- Position Id: 9091227
- Posted 49 minutes ago
Company Info
Vision
To be a trusted partner and advisor to our customers
Mission
At K-Tek we believe in understanding the specific needs of the customer and tailor-creating innovative solutions to meet these needs. We invest in our employees and customers. We build a relation of trust with our customers through empathy, solutions and being the first time right.
Who We Are & What We Do
K-Tek Resourcing is a consulting organization with offices in Houston TX and St. Paul, MN. It is supported by 2 global delivery centers, located in India. With its global employee strength of over 250, K-Tek has been supporting its clients for over 9 years. We have been consistently achieving a growth of 30% Year on Year. We have an extensive experience of working in domains including BFSI, Retail, Healthcare and Pharma, Oil & Gas, Travel & Hospitality and Insurance. The technologies we service are IT Infrastructure, Mobile Technologies, Cloud & Big Data Solutions. We understand the needs of our customers and provide them with customized solutions and resources with the tenet of being the "First Time Right".
Values
-Commitment to our customers success through Integrity
-Excellence through Quality
-Growth through customer value creation

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