Senior Manager, Data Analytics

TouchTunes • New York, NY

9d • Hybrid

About The Position

This role goes beyond reporting; it owns the measurement of consumer marketing and loyalty programs and turns that measurement into clear, actionable insight that shapes decisions. Ultimately, this person would help unlock the power of our data as we accelerate growth. The Senior Manager, Data Analytics will define and lead a scalable marketing analytics roadmap/strategy for marketing and loyalty programs. They will partner with Marketing and Finance to set and forecast weekly marketing goals that connect to the commercial business plan, such as total new purchasers, new purchasers from paid, and incremental plays from lifecycle, and build the tracking to measure performance against them. This role owns the measurement and insight narrative for consumer marketing and loyalty programs: Play Challenges, Special Offers, Team Rewards, and lifecycle campaigns across all loyalty tiers. The Senior Manager will act as the strategic analytical partner to Marketing, translating business questions and goals into measurement frameworks, and turning results into clear recommendations that drive decisions, not just dashboards. They will automate recurring campaign and lifecycle reporting, applying AI and modern tooling (for example, through Braze, our experimentation stack, and LLM-based workflows) so effort shifts from manual reporting to insight and strategy. Additionally, they will build and maintain lifecycle and retention analysis, including churn modeling and segmentation, and surface the highest-value opportunities to grow and retain our most valuable users.

Requirements

• Bachelor's Degree in statistics, data analytics, economics, finance, computer science, engineering, or a related quantitative field
• 6+ years in marketing analytics, growth analytics, or commercial analytics, with at least 2 years owning measurement methodology rather than only producing reports
• Strong SQL: writes and optimizes own queries against large event and transaction datasets independently
• Proficiency in Python for analysis, modeling, and automation (pandas, statistical/ML libraries); comfortable building reproducible analyses in notebooks
• Strong experience with experimentation and causal measurement: A/B testing, control and holdout design, statistical significance, power analysis, and incrementality
• Experience building forecasts or planning models tied to business targets
• Experience with Excel, a BI or analytics platform (Databricks, Tableau, or similar), and product analytics tools such as Mixpanel or Amplitude
• Must be authorized to work in the United States

Nice To Haves

• Experience with marketing automation platforms, such as Braze, including campaign analytics and conversion attribution, strongly preferred
• Experience with MMPs such as AppsFlyer or Branch, and evaluating paid campaigns across Google, Meta, TikTok and other ad platforms, preferred
• B2C consumer mobile app experience strongly preferred; loyalty or subscription business experience preferred
• Experience building churn, retention, or LTV models in a consumer business preferred
• Proven ability to synthesize data and results, identify trends and key findings, and communicate succinctly to both senior and junior audiences

Responsibilities

• Define and lead a scalable marketing analytics roadmap/strategy for marketing and loyalty programs.
• Partner with Marketing and Finance to set and forecast weekly marketing goals that connect to the commercial business plan, such as total new purchasers, new purchasers from paid, and incremental plays from lifecycle, and build the tracking to measure performance against them.
• Own the measurement and insight narrative for consumer marketing and loyalty programs: Play Challenges, Special Offers, Team Rewards, and lifecycle campaigns across all loyalty tiers.
• Act as the strategic analytical partner to Marketing: translate business questions and goals into measurement frameworks, and turn results into clear recommendations that drive decisions, not just dashboards.
• Automate recurring campaign and lifecycle reporting, applying AI and modern tooling (for example, through Braze, our experimentation stack, and LLM-based workflows) so effort shifts from manual reporting to insight and strategy.
• Build and maintain lifecycle and retention analysis, including churn modeling and segmentation, and surface the highest-value opportunities to grow and retain our most valuable users.

Benefits

• Hybrid Work Environment: Hybrid schedule with 50% work-from-home and in-office time, with the ability to work anywhere in the world for up to 2 months per year.
• Annual performance bonus
• Long-term company bonus
• 401k matching
• Life insurance
• Competitive health insurance
• Disability coverage
• Lifestyle Spending Account
• Access to telemedicine
• Unlimited sick days policy
• Continuous hands-on learning with access to e-learning platform
• Tuition reimbursement
• Peer mentorship
• An inclusive workplace designed to accommodate people with disabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior