Wonder · 12 hours ago
Senior Manager, Customer Analytics
New York, NY
Full-time
Hybrid
Mid, Senior Level
$149K/yr - $157K/yr
4+ years expWonder is part of Blue Apron, a company dedicated to reshaping the food industry by delivering incredible home cooking experiences. The Senior Manager of Customer Analytics will own a customer learning agenda to enhance retention strategies and collaborate across various teams to implement advanced data science techniques for customer insights.
E-CommerceFood and BeverageFood DeliveryRestaurants
No H1B
Responsibilities
Partner with Blue Apron senior leadership to define and execute Blue Apron’s retention strategy, aligning roadmaps and timelines with core business goals
Move beyond historical averages to predictive modeling to determine user-level LTV and associated key value drivers, cohort segmentation, and churn forecasting
Partner with Lifecycle Marketing to improve and enhance direct-to-consumer programs such as email, app notification, direct mail as well as any loyalty-focused initiatives
Identify and lead high-impact exploratory workstreams to uncover growth levers in customer engagement, frequency, and share of wallet across marketing, digital experience, customer service and merchandising
Turn scrappy, ad hoc views with messy real-world data into robust, reproducible analyses
Collaborate with the Culinary, Customer Experience, Product, Strategic, and Operations teams, using excellent communication and strong presentation skills to share strategic guidance and thought leadership in a way that is clear and actionable for employees at all levels
Display an owner’s mindset, identifying opportunities to improve the efficacy and actionability of customer data and segmentations across online/offline activations and site/app personalization
Own the definition and tracking of the Customer Reporting Suite that provides visibility to the size, health, and trends associated with the active customer file, acquisition cohorts and other key segments product health
Use causal inference to determine the true incremental impact of loyalty programs, skip-rate interventions, and win-back campaigns
Create and maintain domain-specific analytics dashboards while enabling teams to access data and conduct self-service analysis on a daily basis
Lead the strategy for enriching our first-party data
Identify and integrate third-party data sources and 'House of Brands' signals from Wonder to build a 360-degree view of our home chefs
Recommend qualitative research projects to help the organization gain a deeper understanding of the Blue Apron consumer as well as the ‘the why’ behind quantitative behavioral insights
Evaluate third party providers to augment customer profiles with demographic and psychographic details and share of wallet competitive insights
Collaborate with the broader Wonder organization to leverage shared platform data and build reproducible data solutions available across the house of brands
Work with our central data team to help define and advocate for a best-in-class data architecture, including documentation, structure, organization, and processes to ensure that complex data points across our activities come together to power unified, high-quality, reporting
Analyze how customer behavior at Blue Apron predicts future behavior within Wonder’s delivery platform and vice versa
Qualification
Required
BS in a quantitative (STEM) discipline such as quantitative marketing, statistics, marketing analytics or mathematics or equivalent on-the-job experience; MBA, MS Marketing Analytics is a plus
4+ years of experience performing customer analytics and segmentation in a DTC and/or subscription business, including deep experience and proficiency with behavioral and response modeling, identifying drivers of value, personalization, and customer data strategy
Demonstrated experience managing, enhancing, and ensuring the quality of customer data within CPD and ESP platforms
Experience partnering with customer research and influencing research roadmaps
Highly proficient in SQL, working with structured and unstructured data sets, with the ability to write complex queries against new or unfamiliar data sets
Experience with dbt for data modeling and transformation
Highly proficient working with data visualization tools and manipulating data sets in Looker and/or Amplitude and other platforms to create and maintain domain-specific analytics dashboards while enabling teams to access data and conduct self-service analysis on a daily basis
Strong knowledge of causal inference, experimental design, and predictive modeling techniques including incrementality testing, multi-armed bandit experiments, survival analysis, LTV Modeling, Propensity Score Matching, and Clustering algorithms
Proficient in key programming languages such as Python and R for data analysis, data mining, and building and deploying production-grade machine learning models specifically for behavioral science
Experience building, implementing, and maintaining data processes and an analytics roadmap
Experience working with an engineering team to implement a scalable data architecture and individual events including defining requirements and QAing implemented events
Preferred
AI/LLMs for data analysis a plus
Benefits
Equity
401K
Multiple medical, dental, and vision plans
Company
Wonder
Wonder is a food delivery startup that operates truck-based restaurants from which consumers can order food through a mobile app.
201-500 employees
Funding
Current Stage
Late StageTotal Funding
$2.51BKey Investors
New Enterprise AssociatesNestleBain Capital Ventures
2026-01-12Series Unknown· $8.4M
2025-05-06Series D· $600M
2024-11-13Series C· $250M
Leadership Team
Marc Lore
Founder & CEO
Recent News
2026-01-21
baincapitalventures.com
2026-01-20
Company data provided by crunchbase