Analytics Engineer II

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 Level 2 Analytics Engineer 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 Level 2 Analytics Engineer 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

To view the California Applicant Notice click here