Sr Analytics Engineer

Home Chef • Chicago, IL

41d

About The Position

The Senior Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, this role is responsible for the creation and maintenance of the end to end data “value chain.” This encompasses capturing the right data, designing a data model that fits the needs of our data consumers, and building the analytics on top of that data. This role has vast expertise in certain functional areas, and can therefore scope and solve the most complex problems in those areas. This position is responsible for leading a lot of that complex work and appropriately engaging with the rest of the team to help complete. This role also lends their knowledge to the rest of the team to act as a technical mentor.

Requirements

• Completion of a four-year degree program in a related field
• Multiple years of experience working with complex topics in specific functional areas (e.g. data engineering, data modeling, data analytics, etc.)
• Experience leading multi-people projects to completion
• 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. This includes but is not limited to written communication, as well as leading presentations and meetings as necessary.
• Highly organized both in terms of work management and written code
• Highly proficient in SQL
• Skilled in Python

Nice To Haves

• Open to utilize AI tools in day-to-day work. Some experience in the area preferred.

Responsibilities

• Convert business requests to code and frameworks in a way that is effective and understandable for even the most complex of issues
• Support the team in the creation and maintenance of the standard elements in an end-to-end data value chain
• Document internal knowledge and best practices as necessary
• Lead the execution of complex projects from a technical standpoint
• Implement processes, standards, and technologies to enable a higher level of effectiveness, and a higher quality of data products
• Provide active feedback and mentoring on technical abilities of more junior team members
• Work with PMs effectively to plan out larger projects from a resourcing and timing perspective
• Brainstorm new innovative data solutions with stakeholders
• Engage with stakeholders to truly understand the needs of the departments
• Ensure business teams can effectively utilize data model and are aware of trade-offs, gotchas, etc.
• Communicate progress and gather feedback on projects with the business

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior