Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, we combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution—working together to create a better financial future for our customers and communities.
At Best Egg, you’ll find a culture grounded in our core values—putting people first, creating clarity, delivering with excellence —enhanced by Barclays’ commitment to integrity, inclusion, and long-term impact. Together, we empower our colleagues to challenge, innovate, and take ownership while making a meaningful difference in people’s financial lives.
With the strength of Barclays behind us, we offer expanded opportunities for growth, development, and career mobility across a global organization—while continuing to build the products and experiences that make Best Egg unique.
We’re looking for collaborative, curious problem-solvers who are excited to make an impact and grow with us.
We’re proud to be an equal opportunity employer committed to building a diverse and 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 deep experience in direct mail analytics within consumer lending, preferably personal loans, along with expertise in Snowflake and AI automation.
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.