Senior Data Analyst, Supply Chain Specialist (P4018)

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

• Data SME/Data Owner
• Possess deep knowledge and understanding of your data domain/asset
• Develops deep understanding of the business domain, business context and products that use your data
• Own connection and relationship back to source stakeholders/vendor (internal and/or external)
• Advise, alert and resolve data issues and discrepancies to provide support to internal teams using the data
• Data Discovery
• Collaborate 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 new use cases for existing data
• Document what the data are, how they can be used, who owns/supports them, and how we consume them (examples: data mapping, flow diagrams, data dictionary, business rules, quality checks, etc.) within Confluence and Alation
• 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
• Partner with engineering to implement best practices to build, validate and maintain relational databases
• Challenging and improving 84.51° analytical data products

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, Confluen