Lead Data Quality Analyst, Supply Chain Specialist

84.51˚

Jun 25, 2024

Applications are closed

Job
Full-time
Senior & Expert Level
Data
Cincinnati, +1

Requirements

Qualifications & Experience:
Bachelor's degree or equivalent experience
Experience collaborating with cross-functional partners across data, data science, product, engineering, architecture
Experience collaborating with external partners, external vendors, third parties
Minimum 5 years of relevant experience in data management, data architecture, data governance or related work
Skills:
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.

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, 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)

FAQs

What industry experience is preferred for this role?

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.

What areas of the supply chain will this role focus on?

This Lead data scientist role for Supply Chain specifically focuses on supporting data needs in the Inventory Replenishment, Transportation, and warehouse spaces.

What skills are important for this role?

Candidates should have strong critical thinking, collaboration, and problem-solving skills. They should also have expertise in data analysis and a passion for enabling others to understand and use data to solve business problems.

84.51˚

A retail data science, insights and media company creating more personalized and valuable experiences for shoppers.

Consulting

Industry

1001-5000

Employees

2015

Founded Year

Mission & Purpose

84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail advertising solution, Kroger Precision Marketing.