Senior Data Analyst (P3085)

84.51° Overview:

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 media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

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SENIOR DATA ANALYST, CUSTOMER SALES DATA PRODUCT

LOCATION: FLEXIBLE (*IN THE US ONLY) 

Summary 

The Customer Sales Data Product team owns our most core data assets for the enterprise including the Analytic Core Data Store (ACDS). The CSDP team is responsible for ensuring this core data is discoverable, available, reliable, and accessible for the entire enterprise.

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(s).
  • 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 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.)
  • 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

Qualifications, Skills and Experience

Qualifications & Experience

Skills

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 2-4 years of relevant experience in data management, data architecture, data governance or related work 

 

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 

 

Problem solving, critical thinking and analytical skills 

 

Verbal and written communication skills, ability to translate between business and technical and liaise with various stakeholders 

 

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