Senior Manager, Direct Mail Analytics

FlexibleRemoteFull Time, Exemptsenior

OtherAnalyticsData & AI

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Quick Summary

Overview

Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools.

Technical Tools

OtherAnalyticsData & AI

Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools. We aim to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them.

We offer top-tier benefits and growth opportunities in a culture built on our core values:

Put People First – We foster an inclusive, flexible, and fun workplace.

Create Clarity – Open communication drives trust and results.

Get Things Done – We focus, prioritize, and deliver with excellence.

Deliver with Heart – We lead with kindness, humility, and strong teamwork.

Listen to Our Customers – Their needs drive our innovation.

Barclays has entered into an agreement to acquire Best Egg with closing expected to take place in Q2 2026. This acquisition will give us the resources and capital to continue on our mission and drive our strategy forward. With an aligned culture, lower cost of funds, and increased employee growth opportunities across a global brand, we are excited about the future of the Best Egg brand under the Barclays umbrella.

We are looking for collaborative, innovative team players who like to solve problems. There will also be immense opportunities for those willing to dive in. If you're inspired by growth and want to make a real difference, Best Egg is the place for you.

We’re proud to be an equal opportunity employer committed to building a diverse, inclusive team.

Position Summary

The Senior Manager, Direct Mail Analytics is responsible for leading analytics strategy, performance measurement, and optimization across the direct mail channel. This role will support business growth by delivering data-driven insights that improve response rates, approval rates, funded volume, and overall campaign efficiency. The ideal candidate brings strong technical expertise in Python, Snowflake, and AI automation, along with deep experience in direct mail analytics within consumer lending, preferably personal loans.

This position requires a highly analytical leader who can partner effectively across Marketing, Credit Risk, Finance, Operations, and Data teams to identify opportunities, design tests, improve decision-making, and build scalable analytical processes. Candidates with experience developed at analytically rigorous institutions and environments are strongly preferred.

Lead direct mail analytics strategy across the full campaign lifecycle, including audience selection, segmentation, offer strategy, response performance, approval performance, and downstream conversion.
Analyze key channel metrics, including mail volume, deliverability, response rate, application rate, approval rate, booking rate, cost per booked loan, return on investment, and credit performance.
Develop and enhance frameworks to identify performance gaps and opportunities across prospecting, prescreen strategy, creative, timing, and offer design.
Design, prioritize, and evaluate direct mail tests with clear measurement plans and actionable recommendations.
Experience with response modeling, segmentation, propensity modeling, or offer optimization.
Strong sense of ownership and urgency to rapidly assess, analyze and recommend solutions any direct mail performance related issues
Build scalable data products, dashboards, and performance monitoring solutions in Snowflake and related business intelligence environments.
Use Python to automate analytics workflows, conduct deep-dive analyses, build predictive models, and improve experimentation speed.
Apply AI automation tools and methods to streamline recurring analysis, insight generation, data quality monitoring, documentation, and reporting.
Partner with Credit Risk and Marketing teams to balance volume growth, customer quality, unit economics, and underwriting constraints.

Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related quantitative field. Master’s degree preferred.
Minimum of 7+ years of experience in analytics, marketing analytics, credit analytics, or strategy within consumer lending.
Meaningful direct experience with direct mail analytics, including campaign performance measurement and test design.
Strong preference for experience in personal loans, unsecured lending, or related consumer credit products.

Advanced proficiency in Python for analytics, modeling, and workflow automation.
Strong experience working in Snowflake and SQL-based analytical environments.
Demonstrated experience using AI automation tools to improve analytical productivity, process efficiency, or reporting quality.

Ability to translate complex analytical results into clear business recommendations
Demonstrated success influencing stakeholders at multiple levels, both technical and non-technical
Strong organizational skills with the ability to manage multiple complex projects simultaneously
Ability to work with third party vendors including credit bureaus and campaign processing companies