Senior Data Quality Analyst (P3699)

SENIOR DATA  QUALITY ANALYST  P3699

SUMMARY:

Overall this is a Data Subject Matter Expert role, not a Data Analyst role.  Responsibilities will include:

• Advise, alert, and resolve data issues and discrepancies to provide support to internal teams and external clients using the data.   
• Be comfortable working in different technologies, flexing when needed (Azure, Snowflake,Tableau, PowerBI, Grafana, Databricks ,Hadoop, API's)
• Have strong business and storytelling acumen to understand and support current and future strategy needs
• Have strong statistical, ETL, and data science acumen and a passion around bringing new methodologies and capabilities to life to solve business problems
• Enjoy working in an exploratory role with the ability to drive for results in ambiguity
• Be comfortable thinking outside the box or creatively problem solving

Data SME/Data Owner 

• Own connection and relationship back to data source stakeholders/vendor (internal and/or external) 
• Possess deep knowledge and understanding of your data assets and domain 
• Advise, alert and resolve data issues and discrepancies to provide support to internal teams and external clients using the data.   
• Develop deep understanding of the business domain, business context and products that use your 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 
• Document data assets, how they are used, who owns/supports asset, and ETL processes (examples: data mapping, flow diagrams, data dictionary, business rules, quality checks, etc.) 
• Create data publishing requirements to inform engineering partners
• Validate and recommend new use cases for existing data 
• 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 upstream data owners on data ingestion, changes, impacts, etc., and ensuring plans and communications are in place for adequate testing, quality, reliability, performance, etc., for commercial clients
• Partner with CIL Data Domain to mature data standards in each data domain/asset 
• Ability to QA data assets to ensure accuracy and identify potential discrepancies

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Bachelor or Master’s degree in mathematics, statistics, analytics, data science or related discipline
• 2+ years developing analytical solutions using advanced statistical methods and machine learning algorithms
• Proficient in technology stack. Technology stack includes – Azure, Python, Spark, SQL, Snowflake, Databricks,
• Ability to leverage Python Packages, APIs,  and build custom analytical code processes/algorithms.
• Able to understand cloud architecture, components and services and collaborate with Engineers
• 2+ years of experience in consulting or professional services
• 2+ years of experience in extracting insights from large databases, utilizing and creating internal science/data assets to enable actionable solutions and presenting findings and offerings to clients
• Strong interpersonal, collaboration, communication, and storytelling skills
• Ability to communicate technical concepts to technical and non-technical audiences
• Strong analytical, creative problem-solving and decision-making skills
• Ability to create computationally efficient solutions with a knowledge of package/algorithm  development
• Passionate about data, SL/ML, technical documentation. Understanding of AI algorithms is a plus

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