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HomeCompaniesHome Chef (Internal Employees)Analytics Engineer II

Analytics Engineer II

Home Chef (Internal Employees) · Chicago, IL · Active · $100,000–$130,000 / year · Greenhouse

Job facts

FieldValue
CompanyHome Chef (Internal Employees)
TitleAnalytics Engineer II
Normalized title-
Department / teamData
LocationChicago, IL, United States
Work model-
Employment type-
Salary$100,000–$130,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-05 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Home Chef (Internal Employees).Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Chicago.Open
Department jobsActive postings in Data.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHome Chef (Internal Employees)
Source956e0e30-d11c-4af7-93d8-b5683aa8b98c
ATS providerGreenhouse

Description

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 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 feedback to improve ourselves - and respectfully listen to and accept input. We are pragmatic next-level thinkers. We come up with novel and unique ideas. We explore new strategies to avoid being constrained by conventional thinking. We take ownership. We approach ambiguous problems, prepared to dive in, get curious, and learn more. We are results-driven, always challenging ourselves to exceed goals. Be at Home at Home Chef We all show up authentically at Home Chef. Our team includes individuals with a variety of identities, backgrounds, and perspectives. You can trust that you’ll be able to bring your whole self to an inclusive and enjoyable workplace. We welcome people of all races, colors, religions, national origin or ancestry, sex (including sexual identity), age, physical or mental disabilities, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged/sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Home Chef is committed to the full inclusion of all qualified individuals. As part of this commitment, Home Chef will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please contact our People team at [email protected] . Home Chef offers the base salary range as posted below, with the exact offer depending on factors such as geographic location, experience, skills, and internal equity. While compensation is within the provided range, it is not typical for offers to be made at the upper end. In addition to base salary, Home Chef provides a comprehensive benefits package, including healthcare coverage, 401k match, and paid time off. Illinois Pay Range $100,000 — $130,000 USD To view the California Applicant Notice click here

Full job record

Job ID86eeeb9e8db52e4ad07880538471d3cf9abc6fb3
Org IDf48cfbfd-8138-4089-9cb2-311a6f3df72b
Source ID956e0e30-d11c-4af7-93d8-b5683aa8b98c
Board ID956e0e30-d11c-4af7-93d8-b5683aa8b98c
Providergreenhouse
Provider Job Key5209447008
TitleAnalytics Engineer II
Normalized Title
Statusactive
Activeyes
Location TextChicago, IL
DepartmentData
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionIL
CityChicago
Salary RawPay Range $100,000 — $130,000 USD To view the California Applicant Notice click here
Salary Min100,000
Salary Max130,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/homechefinternalemployees/jobs/5209447008
Apply URLhttps://job-boards.greenhouse.io/homechefinternalemployees/jobs/5209447008
First Seen At2026-05-29 23:00:54Z
Last Seen At2026-06-06 07:34:18Z
Last Checked At2026-06-06 07:34:18Z
Last Changed At2026-05-29 23:00:54Z
Inactive At
Source Posted At2026-05-05 17:42:58Z
Source Updated At2026-05-05 17:42:58Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=homechefinternalemployees/date=2026-06-06/2026-06-06T07-34-17-824Z-44919784d1dee390e282cffeb36812557d1af578217b099123928f3af003d257.json
Event Fields
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  "last_changed_at": "2026-05-29T23:00:54.112Z",
  "active_status": "active"
}
Parsed Structured
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    "region": "IL",
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  "launch_scope": {
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      "city": "Chicago",
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      "is_remote": false,
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    "countries": [
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    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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      "location": null,
      "child_ids": [],
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  "metadata": [],
  "updated_at": "2026-05-05T13:42:58-04:00",
  "departments": [
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      "name": "Data",
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  ],
  "company_name": "Home Chef (Internal Employees)",
  "requisition_id": 4469369008,
  "first_published": "2026-05-05T13:42:58-04:00",
  "application_deadline": null
}
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