The Data Analyst is responsible for reviewing data for quality, looking for patterns and trends as well as creation and automation of jobs that make it easier to find data problems and review quality of data as needed. The tools will span from Azure to on-prem as well as the data itself.
Essential Job Functions:
- Articulate and/or translate business problem statements to data requirements to proactively work on design and analysis prior to system design for timely delivery.
- Create and maintain reports and automation of data quality under purview.
- Understand and review existing data models and patterns to identify improvements, recommend improvements in functionality, performance, etc.
- Ideate and develop multiple options for any given problem and present with sound logic and reasoning.
- Learn and work in a fast-changing technology landscape to design retail systems of the future.
- Become familiar with Kroger store and supply chain systems and sources of truth for various master data.
- Recommend and present analysis on data as required.
- Coordinate and align all other technology teams to ensure operational delivery processes are governed and monitored to expedite issue remediation.
- Ability to interact well in a team environment.
- Optional : Proficient in using and designing with Erwin Data Modeler for SQL Server, Cassandra, Kafka, MS Azure Databases and Data Stores, or other similar technologies.
- Well-versed with the concepts and application of entity definition, idempotency, normalization/de-normalization of relational models, naming convention, data types, dimensional modeling, and modeling for key-value based databases.
- Demonstrates solid understanding of architectural components and system design principles for effective contribution to all design discussions.
Key Responsibilities
- Standardize and solidify Kroger’s data processes and quality.
- Assist in developing business reporting.
- Increase data availability, standardization, and automation processes.
- Problem solve and investigate issues.
- Participate in all phases of system testing Work successfully in an Agile Project across multiple feature and component teams.
- Complete estimates and work plans in Program Increments (PI) Meetings as appropriate for design, development, implementation, and rollout tasks"
Note to Vendors
Top 3 Skills: Various backgrounds in data acquisition, modeling, and manipulation.