Analytics Engineer II

Founded in 2013, Home Chef is the leading meal solutions company with both a retail and online presence. Available online at homechef.com and in retail at more than 2,100 Kroger grocery stores, Home Chef is committed to inspiring and enabling more people to cook simple, delicious meals, no matter how busy they are. In 2023, Home Chef introduced a new brand, Tempo ! Tempo features a rotating selection of ready-to-heat meals delivered directly to your door. These meals are better-for-you versions of familiar favorites, designed to save you time and reduce stress while maintaining a healthy lifestyle. Our Tempo menu includes options that are protein-packed, fiber-rich, calorie and carb conscious, keto-friendly, and dietitian-approved. Similar to our recipes, we recognize that variety is the spice of life, and therefore, our employees also bring their uniqueness and color to our fantastic team. We’re eager to work with humble team players and pragmatic next-level thinkers to innovate on Home Chef’s offerings. The Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, the engineer is responsible for the creation and maintenance of the end-to-end data “value chain.” This encompasses capturing the correct data, designing a data model that fits the needs of our data consumers, and building analytics on top of that data. The Analytics Engineer II will align with a certain business department to understand the needs of that department. This role is considered a subject matter expert for that department within the analytics team. The Analytics Engineer II independently leads much of the work for that department and provides guidance to others who pick up that work as well. Detailed Responsibilities Technical: Convert business requests to code and frameworks Build ingestion, cleaning, and transformation jobs to create a useful integrated data warehouse Regularly monitor and maintain the performance of these jobs Create processes to ensure data quality and cleanliness throughout the pipeline Utilize business intelligence tools (such as Looker) to provide business teams with more self-serve reporting and visualization Support non-technical teams with more advanced analytics as necessary Productionalize manual data processes as necessary Responsibility Area: Non-Technical Engage with stakeholders to truly understand the needs of the departments Ensure business teams can effectively utilize the data model and are aware of trade-offs, gotchas, etc. Communicate progress and gather feedback on projects with the business This position requires 0% travel. Qualifications The requirements listed below are representative of the knowledge, skill, ability, and/or other characteristics needed for this role. Reasonable accommodations may be made to enable individuals with disabilities. Completion of a four-year degree program in a related field Multiple years of experience with data modeling and database performance Ability to build complex data transformations and understanding to discern when that is needed Can effectively problem-solve and get to the root cause when troubleshooting issues Ability to influence business stakeholders to help drive more data-driven decision making throughout the company Highly organized both in terms of work management and written code Highly proficient in SQL Skilled in Python Openness to utilize AI tools in day-to-day work. Some experience in the area preferred. More About Us Perks and benefits Candidates can experience Home Chef as a customer - enter promo code PEOPLE30 for $30 off your first order! Medical, dental, vision, life and disability insurance available Paid holidays, sick time and vacation time 401k program Flexible spending accounts for qualified medical, dependent care, parking, or transit expenses How We Work Together We are humble team players. We are warm and gracious with team members and customers. We seek feed…