Senior Manager, Marketing Analytics

Reposted 12 Days Ago
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New York, NY
In-Office
149K-157K Annually
Mid level
Automotive • eCommerce • Food • Internet of Things • Logistics
Wonder is revolutionizing home dining and making it better. Pull up a seat to our table.
The Role
Oversee marketing analytics, develop data strategies, optimize marketing performance, and mentor team members while ensuring compliance with data regulations.
Summary Generated by Built In

About Blue Apron 

Want to build a food system that’s better for everyone? That’s our vision at Blue Apron, with the help of each of our home chefs. With each fast-and-easy meal kit served and each pre-made meal enjoyed, we’re investing in what matters most—our communities and the meals they share. 

Blue Apron, part of Wonder Group, delivers incredible home cooking experiences to customers nationwide. Through fresh, pre-portioned ingredients and easy-to-follow recipes, we make cooking at home simple, accessible, and joyful—no subscription necessary. At Blue Apron, we’re reshaping the food industry, combining culinary excellence, innovation, and convenience to meet customers wherever they are. 

Blue Apron is constantly evolving and growing to best serve our home chefs. Join us and work with a team of industry pioneers across technology, culinary, and logistics, coming together to make every mealtime memorable.

About the role

We’re looking for a performance-driven Senior Manager of Marketing Analytics to join our team. You will be responsible for the development and execution of analytic roadmaps to unlock insights that drive improvements in full-funnel marketing performance and shape marketing growth strategies.  The ideal candidate will possess strong proficiencies in DTC funnel and channel optimization; marketing attribution measurement; campaign analysis; marketing data strategy and technology.  You should be comfortable effectively communicating and translating complex analytical findings into digestible, actionable insights and recommendations.  

Key Responsibilities

  • Partner with marketing to develop a deep understanding of our business strategy, business goals, products, and critical business questions to answer.  

  • Work with our central data team to help define and advocate for a best-in-class data architecture that powers a single view of our customer, including documentation, structure, organization, and processes to ensure that complex data points across our activities come together to power a unified customer view.  

  • Conduct ongoing and ad-hoc analysis of customer behavior across touchpoints, both at a high level as well as at a granular level, turning them into actionable insights that inform growth of our business. Analysis and activities may include building an in-house marketing attribution approach, conducting marketing channel performance analysis & optimization, synthesizing customer order behavior & making recommendations on how to best improve, building segmentation analyses, developing cohort analyses, building RFM models, and developing customer LTV & churn models.  

  • Integrate source-level LTV into the measurement framework to ensure CAC targets are defined and operationalized at the channel/subchannel level.  

  • Create and maintain domain-specific analytics dashboards while enabling teams to access data and conduct self-service analysis on a daily basis; This includes owning the measures and dimensions exposed to dashboard users, requesting code reviews from the central data team for these dashboards, and setting up training sessions for business users.  

  • Serve as a data steward, partnering with the central data engineering team to provide the requirements and judgement around data quality and data QA.   

  • Serve as the day-to-day marketing analytics partner to senior management and the customer teams, using excellent communication and strong presentation skills to gather business requirements and share analysis in a way that is clear and actionable for employees at all levels.

The experience you have

  • Experience working with an engineering team to implement a scalable data architecture and individual events including defining requirements and QAing implemented events.  

  • Highly proficient in SQL, working with structured and unstructured data sets, with the ability to write complex queries against new or unfamiliar data sets.   

  • Highly proficient working with data visualization tools and manipulating data sets in Looker and/or Amplitude and other platforms to report on custom metrics.  

  • Experience building, implementing, and maintaining data processes and a marketing analytics roadmap.  

  • Operational experience with a modern tech stack, including customer data platforms (such as mParticle or Segment), communication platforms (such as Braze or Iterable), deeplinking / attribution tools (such as Branch or AppsFlyer), and data visualization tools (such as Amplitude or Google Analytics).  

  • Experienced with offline & online marketing channels, digital marketing analytics, media measurement (including MMM, MTA), incremental lift studies, and marketing A/B testing.  

  • Experience designing and analyzing marketing / lifecycle experiments a plus.  

  • Experience using Python or R for data analysis a plus. 

  • Experience working with consumer technology, preferably with ecommerce.   

  • Experience working with a mobile app a strong plus.  

The way you work   

  • You have strong analytical skills with the ability to turn data into actionable insights and recommendations 

  • You have excellent communication and collaboration skills, with experience managing both internal stakeholders and external partners 

  • You are a self-starter who thrives in a fast-paced, results-oriented environment 

  • You have a passion for food, culinary innovation, and delivering best-in-class customer experiences. 

Base Salary: $149,000 - $157,000 per year.

Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. 

Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you.

#LI-Hybrid

Benefits

We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  

A final note 

At Wonder, we believe that in order to build the best team, we must hire using an objective lens.  We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion.  As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class.  If you have a disability, please let your recruiter know how we can make your interview process work best for you.

We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy

Top Skills

Amplitude
Google Analytics
Looker
Power BI
Python
R
SQL
Tableau
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The Company
HQ: New York, NY
500 Employees
Year Founded: 2018

What We Do

Wonder is a fast-growing, food-tech startup that’s raising the bar on the role food plays in peoples’ lives. We’re a team of food-lovers, entrepreneurs, and some of the most accomplished innovators in the culinary, logistics, and technology industries. Backed by top-tier venture capitalists, we’re moving quickly to pioneer the future of food.

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