Senior Operations Analytics Engineer New York, NYAbout UsImagine: 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 roleThe Operations Analytics team at Wonder is seeking a highly skilled and experienced Senior Operations Analytics Engineer. Our Operations Analytics team's mission is to facilitate, enable, and leverage the use of data to identify and uncover operational inefficiencies and overall operational performance. The ideal candidate will have a strong background in database modeling and analytics with a focus on operational data. They will be responsible for providing and leveraging data to drive actionable insights, optimize operations, and support key business initiatives.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain database models, ETL processes, and data pipelines using dbt.
Develop and maintain efficient Looker Explores and dashboards to enable self-service reporting of our operational data.
Leverage data to uncover trends, patterns, and opportunities for improvement across our operational verticals.
Work cross-functionally with various business partners to leverage data that drives key business initiatives with a direct impact on the “bottom line”.
The experience you have
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain database models, ETL processes, and data pipelines using dbt.
Develop and maintain efficient Looker Explores and dashboards to enable self-service reporting of our operational data.
Leverage data to uncover trends, patterns, and opportunities for improvement across our operational verticals.
Work cross-functionally with various business partners to leverage data that drives key business initiatives with a direct impact on the “bottom line”.
The way you work
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
8+ years of experience in database modeling, analytics, or a related field, with a focus on operational analytics, restaurant industry a plus.
Strong proficiency in SQL for data manipulation, data modeling and analysis.
Experience with dbt for data modeling and transformation.
Proficiency in Looker or similar BI tools for data source, dashboard development and visualization.
Solid understanding and experience in data warehousing concepts and methodologies.
Experience leveraging Python for data analysis to perform simulations, what-if analysis, etc.
Excellent communication and collaboration skills, with the ability to interact effectively with stakeholders.
BenefitsWe 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. Base Salary: $210,000A 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.
