Senior Manager, Direct Mail Analytics

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.

• 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.
• 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.

• 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