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Manager, Consumer Product Analytics

Wonder

Wonder

Product, Data Science
New York, NY, USA
Posted on Wednesday, February 21, 2024

About Us

Imagine: 30 unique restaurants to order from, brought to your door in under 30 minutes. That’s what our customers experience.

At Wonder, we want to make world-class food within reach, no matter where you live. That’s why we’ve created a vertically integrated, new standard of dining that will allow you to enjoy menus from award-winning chefs and iconic restaurants across the country, all in one place. Our elevated brick + mortar locations will offer pick up and dine in options, as well as delivery to your home.

As a food-tech startup backed by top-tier venture capitalists and led by a team of experienced entrepreneurs—including some of the most accomplished leaders in the technology, culinary, and logistics industries—we’re growing. Join us in pioneering a new category of dining called “Fast-Fine”, and revolutionizing the way people eat.

About the role

Wonder is seeking a Product Analyst to join our team and partner with stakeholders (product managers, designers, engineers, marketers, and more) to drive success and enhance the Wonder customer experience. Our consumer products include native apps, a website, and in store kiosks. You will leverage your expertise to improve user experiences across these products and increase feature adoption and drive overall business growth.

  • Work closely and collaboratively with the consumer product team to help shape Wonder’s strategy and vision.
  • Conduct analysis on visitor behavior, to help us better optimize the features that are most important to our customers.
  • Design and analyze experiments, help teams set great hypotheses, and deliver robust analysis of experiments.
  • Transform raw data into important and impactful analysis characterized by strong data governance, technique clarity, and clear communication.
  • Improve or automate internal analytics processes to drive efficiency and self service tooling.

The experience you have

  • 2+ years experience as a data scientist or data analyst during which you extracted insights from large datasets.
  • Experience in A/B experimentation and statistical analysis of experimental data.
  • Strong understanding of SQL.
  • Curious mindset to drive creative problem-solving and business impact.
  • Demonstrated use of Looker/Lookml or another visualization software.
  • Knowledge of Python for data analysis (or another scripting language) to drive insight and product decision making.

Bonus Points if you have any of the following:

  • Experience in a startup setting is a plus.
  • Use of DBT or similar tools for ETL and Data transformation.
  • Knowledge of Machine Learning modeling, and modern data pipelines.

Base Salary: $120,750

The way you work

• You craft positive approaches with the pursuit of excellence for our people and customers in mind
• You solve problems and make decisions informed by data, insights, and good judgement
• You gain trust through open dialogue, embracing change, and actively seeking feedback

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.