Job Description
Data Analyst
100% Remote
Initial budget through the end of the year- Will likely continue extending
Description of the project: End to End (E2E) Fresh Cold Chain Data Team
What are the primary goals and deliverables expected from this project?.
Team will be part of the E2E Fresh domain. E2E Fresh is responsible for perishable products like produce, meat, seafood and dairy. Specifically, this team will be responsible for data related to refrigerated supply chain, or Cold Chain as we call it. Cold Chain data includes data from temperature sensors, purchase orders, warehousing, and transportation routing and location. The overall goal is to use this data increase freshness of food at the stores.
Ingestion pipelines for data from internal and external applications.
Curation and presentation of application data to internal consumers.
Join data from multiple systems to create Fresh Domain Data.
" Investigate and mitigate data quality issues.
The journey of data enabling E2E Fresh will usually follow a path of Analytics to Client improvement opportunities, Reporting to allow operations to target improvement, and Event (real-time) Data to participate in operations. A hypothetical example would be:
" Analytics reveals that strawberries are frequently subjected to high temperatures in transit from distribution center to stores. Management knows they have a problem and assigns operations to investigate.
" Reports are given to operations managers to help them investigate and try an operational change like a temp check when the truck leaves the yard. Reports allow them to monitor and evaluate the effectiveness of the change on strawberry freshness.
" The changes might mitigate some instances but not all. So transportation and/or stores are given real time data. This will allow them to be alerted that a truck is en route to the store with a high temperature. They turn the truck around before it even hits the store's loading dock and a replacement order is processed. This saves employee time and speeds up the replenishment process, resulting in fresher strawberries in the store.
What is the start date and expected duration?: ASAP start (ideally 6/24). Team will be durable for the foreseeable future. End date listed is just end of FY. Expect this team to continue next FY. NOTE: Hiring manager is on vacation
Are there key milestones or deadlines that the team should be aware of?: KTD uses the OKR management model and for this upcoming quarter there is some discovery and ingestion. But typically the deliverables will be: integration pipelines of data sources, cross-domain data set creation, presentation of data via data lake or API.
Candidate Meeting Time Block (reserved time on your calendar to meet with candidates): Potentially 6/28, 7/1.
Manager would like to meet with Data Tech Lead candidates and Data Analyst candidates. May include 2 others from the team to participate in candidate meetings.
Any specific location requirements?: Team members will be fully remote and can be anywhere in the US. Team will keep NA Eastern Time hours. This can't be listed as contract-to-hire because there are currently no FTE openings for these to be converted into.
Specific technical skills:
- extensive knowledge of data principals, patterns, processes and practices
- Databricks
- SQL
- Python
- GCP
Team will have dedicated product manager and be directly supported by scrum master, solution architect and data architect.
Job Tags
Permanent employment, Contract work, Temporary work, Immediate start,