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Manager, Lifecycle Marketing Analytics

prizepicks · Atlanta, GA preferred, Remote · Remote
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<div class="content-intro"><p><span style="font-family: tahoma, arial, helvetica, sans-serif; font-size: 12pt;">At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? </span></p></div><p><span style="font-family: tahoma, arial, helvetica, sans-serif; font-size: 12pt;">We are seeking a strategic and highly analytical <strong>Lifecycle Marketing Analytics Manager</strong> to lead measurement and performance insights across our targeted and triggered lifecycle, CRM, and promotions efforts. This role will oversee a team of analysts and serve as the strategic thought partner to Lifecycle, CRM, and Promotions leadership on promotional investment, experimentation, new customer conversion, retention, and cross-product adoption. Your insights will directly inform how we invest in our customers and scale our lifecycle programs.</span></p> <h1><span style="font-family: tahoma, arial, helvetica, sans-serif; font-size: 18pt;"><strong>What you’ll do:</strong></span></h1> <p><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Experience:</span></p> <ul> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Lead a team of data analysts, covering lifecycle, promotions, and CRM</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Deliver clear, data-driven insights and recommendations to senior leadership</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Own measurement of promotional and reinvestment spend, including incrementality, ROI, and offer optimization</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Set experimentation standards across lifecycle and CRM, including hypothesis development, test design, power analysis, and holdout strategy</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Measure and optimize lifecycle programs across onboarding, first-time deposit (FTD) conversion, retention, and reactivation</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Develop targeting, pricing, and measurement strategies for cross-product adoption and cross-sell campaigns</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Partner with the CRM team to define audience, eligibility, and trigger logic for campaigns executed in Braze</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Build scalable analytics solutions, such as automated test readouts, always-on holdouts, and audience pipelines, to support lifecycle operations at scale</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Drive adoption of AI tools across the team, integrating LLMs into analytics and lifecycle workflows to increase throughput and scale</span></li> </ul> <p><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Technical Skills:</span></p> <ul> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Advanced SQL</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Tableau (strongly preferred) or similar BI tool</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Excel</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Python (preferred for statistical analysis, experimentation, or automation)</span></li> <li style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">dbt or similar data transformation tools (preferred)</span></li> </ul> <p><span style="font-size: 12pt; font-family: tahoma, arial, helvetica, sans-serif;">Soft Skills:</span></p> <ul> <li style="font-size: 12pt; fo

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