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Lead Data Quality Analyst, Supply Chain

2 months ago

Chicago, United States 84.51˚ Full time

84.51° is currently looking to hire a Lead Data Quality Analyst, Supply Chain on a full time, permanent basis. This opportunity offers a flexible hybrid remote/onsite work schedule and can be based in either Cincinnati, OH or Chicago, IL. Relocation assistance to Chicago or Cincinnati is available if needed.


Title: Lead Data Quality Analyst, Supply Chain

Location: Chicago, IL or Cincinnati, OH


Summary:

The SCORe (Supply Chain, Operations, and Replenishment) team is looking for a Lead Data Analyst. This role will support end-to-end supply chain workstreams with a focus on enabling supply chain and inventory data. Ideal candidates will bring a focus of business acumen in the Supply Chain and Inventory Replenishment industry. Familiarity with 84.51° and Kroger’s Supply Chain and Operations data assets is preferred.


This Lead data scientist role for Supply Chain specifically focuses on supporting data needs in the Inventory Replenishment, Transportation, and warehouse spaces. This includes bringing in new data, diagnosing data issues, and improving data quality within these domains.


As a Lead Data Quality Analyst, you are joining a cross-functional technical community of analysts, data scientists, product owners, program leads and software engineers. Your superpower is data expertise, and your passion lies in enabling others to understand and use data to appropriately solve business problems. You always bring strong critical thinking, collaboration, and problem-solving skills to your work.


Responsibilities:

  • Data SME/Data Owner- large, complex and/or multiple sources
  • Possess deep knowledge and understanding of your data domain/asset(s). Data domains and assets are large, complex or multiple in nature
  • Deeply understands and upskills others on the business domain, business context and products that use your data
  • Own connection and relationship back to source stakeholders/vendor (internal and/or external); Define and manage multiple data feeds to our data partners
  • Advise, alert and resolve data issues and discrepancies to provide support to internal teams using the data
  • Coach and mentor junior data analysts within and outside of your domain/asset(s)
  • Data Discovery
  • Lead collaboration on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (e.g. SQL, PySpark, BigQuery, Databricks, etc.) in partnership with data science team members to determine usability
  • Validate and proactively identify new use cases for existing data
  • Document what the data is, how it can be used, who owns/supports its, how we receive it (examples: data mapping, flow diagrams, data dictionary, business rules, quality checks, etc.). Model and lead other junior data analysts on data documentation best practices.
  • Collaborate with Product Owners/Managers and cross-functional development teams to ensure data needs and changes are articulated in Jira via Stories, Epics, Features
  • Data Governance
  • Partner with Kroger/KTD/3rd Party and 84.51° data governance on data ingestion, changes, impacts, etc., and ensuring plans are in place for adequate testing, quality, reliability, performance, etc., for our 84.51° data domains/assets
  • Partner with 84.51° Enterprise Standards to mature data standards in your data domain/asset
  • Lead and drive establishment of best practices in the data governance space for your domain/asset(s)


Qualifications:

  • Bachelor's degree or equivalent experience
  • Minimum 5 years of relevant experience in data management, data architecture, data governance or related work
  • Experience collaborating with cross-functional partners across data, data science, product, engineering, architecture
  • Experience collaborating with external partners, external vendors, third parties
  • Strong technical skills using SQL, PySpark, BigQuery or similar
  • Technical understanding of data, flow diagrams, and ability to read and write code and scripts
  • Familiarity with Hadoop, Github, Jira, Cloud (Azure), Oracle, Snowflake, Confluence or other similar technologies
  • Ability to create high level flow diagrams to facilitate cross-functional conversations, in order to validate the feasibility and usability of data
  • Proactive and independent problem solving, critical thinking and analytical skills
  • Verbal and written communication skills, ability to translate between business and technical and liaise with various stakeholders
  • Strong mentor and coach to junior talent


About 84.51°:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.


Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and retail media advertising solution, Kroger Precision Marketing.