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Posting Title; External) Sr. Manager, Digital and Marketing Analytics

Job in Northern, Floyd County, Kentucky, USA
Listing for: LendDirect Corp.
Full Time position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Overview

Are you ready to make a difference in the world of consumer finance? At Attain Finance, we bring over 50 years of expertise in providing credit solutions across the U.S. and Canada. Our deep roots in the financial industry have empowered us to develop convenient, easily accessible financial services that meet our customers' growing needs.

Join a leading consumer credit lender that thrives on innovation and collaboration, where your contributions are truly valued. Our portfolio includes distinguished brands like Cash Money®, Lend Direct® and Heights Finance. Each brand is constantly evolving to better serve our customers.

Be part of a dynamic team that is shaping the future of consumer finance.

We're looking for a highly analytical and business-focused Sr. Manager, Digital & Marketing Analytics to lead measurement, reporting, and optimization across our customer acquisition efforts. In this role, you'll help turn complex data into clear insights that drive growth and improve marketing performance across our lending brands.

You’ll shape how we measure acquisition effectiveness, identify opportunities throughout the customer journey, develop reporting and analytical models, and provide data-driven recommendations that influence business decisions. You’ll partner closely with teams across Marketing, Risk, Finance, Operations, Marketing Technology, and Data Engineering to strengthen our analytics capabilities and support customer growth.

This role is ideal for someone who enjoys solving business problems with data, working across teams, and driving meaningful impact in a fast-paced environment.

Responsibilities

Lead Acquisition Performance Analytics

  • Own acquisition performance reporting and insights across marketing channels.
  • Analyze campaign, funnel, and customer performance to identify growth opportunities.
  • Recommend actions to improve conversion, efficiency, and ROI.

Own Measurement, Tracking & Data Governance

  • Maintain marketing measurement frameworks, KPIs, and tracking standards.
  • Ensure accurate data collection, attribution, and reporting.
  • Partner with Technology and Engineering teams to enhance measurement capabilities.

Develop Attribution & Marketing Effectiveness Models

  • Build and enhance advanced measurement methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and causal measurement frameworks.
  • Measure performance across channels, campaigns, and customer segments.

Lead Funnel Analytics & Customer Journey Optimization

  • Own end-to-end customer acquisition funnel measurement and analysis.
  • Identify key drop-off points, friction areas, and conversion opportunities throughout the customer journey.
  • Partner with marketing, product, and operations teams to prioritize optimization initiatives and quantify expected business impact.

Drive Experimentation & Insights

  • Design, measure, and evaluate A/B tests, holdout tests, incrementality studies, and other experimentation frameworks.
  • Develop statistically sound approaches for measuring marketing and customer experience improvements.
  • Translate analytical findings into actionable recommendations that influence strategic decisions and business outcomes.

Build Reporting & Analytics Products

  • Develop and maintain scalable dashboards, scorecards, and self-service analytics tools that empower stakeholders across the organization.
  • Deliver executive-ready presentations and insights that clearly communicate performance, opportunities, and recommendations.
  • Continuously evolve reporting capabilities to improve decision-making and operational efficiency.

Support Data Infrastructure & Analytics Enablement

  • Collaborate with Data Engineering to ensure reliable, scalable data pipelines and access to high-quality data.
  • Promote…
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