Senior Data Analyst, Supply Chain Specialist (P4018)

Key Skills

Analytical and Problem solving, Apache Hadoop, Apache Hive, Apache Pig, Azure, Confluence, Data Analytics, Data Architecture, Data Governance, Data management, Data Modeling, Data science techniques, Effective communication skills, Github, Google BigQuery, JIRA, Oracle, PySpark, Snowflake, SPARK Programming, SQL, Supply Chain Management

Job Description

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

• 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).

Skills

• 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