84.51° Overview:
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 our retail media advertising solution, Kroger Precision Marketing.
Join us at 84.51°!
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SENIOR DATA ANALYST, SUPPLY CHAIN DATA SPECIALIST (P4018)
SUMMARY
The SCORe (Supply Chain, Operations, and Replenishment) team is looking for a Senior 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 Senior data analyst role for Supply Chain specifically focuses on serving as the "data subject matter expert" supporting data needs in the Inventory Replenishment space. This includes bringing in new data, diagnosing data issues, managing data governance, and improving data quality within Inventory Replenishment.
As a Senior Data 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
QUALIFICATIONS, SKILLS AND EXPERIENCES
Qualifications & Experience
Skills
Bachelor's degree or equivalent experience
Minimum 2+ years of experience using programming languages or technologies in the development of data products
Experience querying data from relational databases using SQL.
Experience Data modeling a plus
Experience collaborating with cross-functional partners across data, data science, product, engineering, architecture
Experience collaborating with external partners, external vendors, third parties
Minimum 2-4 years of relevant experience in data management, data architecture, data governance or related work
Experience with data wrangling, data cleaning and prep.
Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water).
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, to validate the feasibility and usability of data
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 business acumen in Supply Chain data, particularly around inventory planning/replenishment; data warehousing; and transportation
Passionate about data
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