Data Quality Analyst III
About the position Responsibilities • Create and implement data pipeline monitoring within data quality tool by leveraging SQL code to enable data quality processes across all Commercial and Supply Chain datasets • Enable end to end user testing environment that will be spread across functional commercial & supply chain teams to ensure data quality/integrity prior to datalake table or Power Bi reporting go live • Partner with Product Management to own, create and execute business unit and use cases for testing master tables to call out potential issues with the data model or the source system • Conduct data quality checks on critical KPI's and remediating data in partnership with the business • Independently identify and solution gaps within the Commercial & Supply Chain Domain within Datalake and Purview by doing monthly audits to ensure integrity • Leverage data profiling tooling or any other tool implemented to support data quality by setting up SQL codes by table to identify data issues within source systems and Datalake tables • Submit incident data issues for Commercial and Supply Chain and tooling issues along with owning and testing the resolutions • Establish Root Cause Analysis for data integrity issues, create proposals on how to fix the issues to strategically tackle consistent data pipeline issues partnering with IT • Provide support to the data quality manager to drive cross-functional teams during the life cycle of data quality issue • Deep dive data issues for third party data leveraging various tools such as databricks (SQL, Python, PySpark), ADF, and/or alteryx to provide insights on the issue along with proposing a solution Requirements • Bachelor's degree in business, economics, engineering, math, statistics, or other quantitatively oriented major or equivalent combination of education and related work experience • 3-5 years experience in analytics and/or product management • Experience in commercial and/or supply chain operations including sourcing, assortment, vendor management, product management, and pricing • Significant experience with analytics, statistics and structured problem solving • Proficiency in data analysis and presentation formation using internal database resources, internal and external business partners, and Microsoft office suite • Proven analytical proficiency and ability to leverage data to positively impact the business and solve complex business problems • Highly collaborative with proven experience partnering, influencing and negotiating • Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses • Knowledge of SQL & Python Nice-to-haves • MBA or MS in Industrial Engineering, Operations Research or similar discipline preferred • Relevant skills at expert level of competency Benefits • Flexible/hybrid work schedule including 3 in-person days and 2 remote days • Diversity, Equity, Inclusion and Belonging initiatives • Total wellness programs encompassing physical, financial and emotional wellness • Opportunities for personal and professional growth Apply tot his job