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.
As a member of our engineering team, you will use various cutting-edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers at Kroger. We also work with Kroger's supply chain related data assets including but not limited to: Orders and Shipments, Inventory, Planogram and Pricing information to help Kroger, CPG and broker clients make tactical and strategic business decisions. We use Agile development methodology bringing everyone into the planning process to build scalable enterprise applications and solutions.
What you’ll do
Work within a team that owns the Semantic Layer of a large commercial reporting application.
Create and maintain complex retail customer loyalty measures and commercial data security rules.
Use strong business analysis skills to translate commercial requirements into technical requirements.
Use strong Data Warehouse and BI Tool background and understanding of every layer of the technical stack in order to convert requirements into platform wide implementation solutions.
Work with the team to implement the semantic layer portion of those solutions using a BI Tool framework.
Develop custom engineering tools to assist with the implementation, automation, and testing of the solution to reduce time to market for new Insights capabilities
Participate in design and development of highly visible data solutions
Support Commercial Facing data pipelines
Perform unit and integration testing
Collaborate with architecture and lead engineers to ensure consistent development practices
Provide mentoring to junior engineers
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Collaborate with other engineers to solve and bring new perspectives to complex problems
Drive improvements in people, practices, and procedures
Embrace new technologies and an ever-changing environmen
Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
5+ years proven ability of professional data development experience
5+ years proven ability of professional Data Development experience
Experience with a Business Intelligence Reporting Tool
Full understanding of ETL concepts and Data Warehousing concepts
Proficient with Relational Data Modeling
Thorough understanding of CI/CD concepts and best practices
Comprehensive Understanding of ANSI SQL
Foundational Understanding of Cloud Processing Concepts
Foundational Understanding of Agile Principles
Exposure to Retail Business Intelligence
Exposure to interacting with and enhancing Cloud based services
Passion for Problem Solving
Passion for creating supportable technical solutions
Experience communicating to and with functional colleagues