Role Description
We are seeking a strategic and highly analytical Lifecycle Marketing Analytics Manager 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.
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Lead a team of data analysts, covering lifecycle, promotions, and CRM
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Deliver clear, data-driven insights and recommendations to senior leadership
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Own measurement of promotional and reinvestment spend, including incrementality, ROI, and offer optimization
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Set experimentation standards across lifecycle and CRM, including hypothesis development, test design, power analysis, and holdout strategy
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Measure and optimize lifecycle programs across onboarding, first-time deposit (FTD) conversion, retention, and reactivation
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Develop targeting, pricing, and measurement strategies for cross-product adoption and cross-sell campaigns
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Partner with the CRM team to define audience, eligibility, and trigger logic for campaigns executed in Braze
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Build scalable analytics solutions, such as automated test readouts, always-on holdouts, and audience pipelines, to support lifecycle operations at scale
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Drive adoption of AI tools across the team, integrating LLMs into analytics and lifecycle workflows to increase throughput and scale
Qualifications
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5+ years of experience in lifecycle, CRM, retention, or growth analytics
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1+ year of experience managing analysts
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Proven experience measuring and optimizing promotional, incentive, or reinvestment spend
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Deep experience with experimentation, including A/B testing, holdout design, and power analysis
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Experience supporting targeted and triggered lifecycle programs at scale
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Experience partnering with CRM teams and platforms (Braze strongly preferred)
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Hands-on experience applying AI tools (e.g., LLMs, coding assistants) to analytics workflows, and coaching others to adopt them
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Experience with cross-product adoption or cross-sell strategy (preferred)
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Experience in daily fantasy, gaming, or another app-based B2C business (preferred)
Requirements
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Advanced SQL
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Tableau (strongly preferred) or similar BI tool
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Excel
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Python (preferred for statistical analysis, experimentation, or automation)
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dbt or similar data transformation tools (preferred)
Benefits
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Company-subsidized medical, dental, & vision plans
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401(k) plan with company match
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Annual bonus
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Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
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Generous paid leave programs, including 16-week paid parental leave and disability benefits
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Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
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Company-wide in-person events and team outings
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Lifestyle enhancement program
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Company equipment provided (Windows & Mac options)
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Annual performance reviews with opportunities for growth and career development