Wesco is a leading provider of business-to-business distribution, logistics services, and supply chain solutions. As a Data Steward, you will ensure the accuracy and usability of enterprise data, focusing on analytics and cloud-based environments while working with stakeholders to assess and improve data quality.
Works with Senior Data Steward and business stakeholders to define specific goals, approaches and deliverables for stewardship and quality initiatives in specific data domains
Performs hands-on stewardship tasks to assess, cleanse, normalize and conform data to meet business requirements
Implements data quality measurement and remediation processes in the WESCO toolset
Proposes standards and metrics for data quality based on data analysis and requirements captured from business users
Performs analysis of data to identify gaps in quality using defined standards
Identifies opportunities for conformation and normalization of data values
Creates clear and concise documentation of observations and analysis of current state data, and proposed future state
Creates measures and metrics to show progress of solving issues through stewardship activities and execution of stewardship programs
Defines and executes processes to monitor data governance policies and procedures to ensure data integrity and privacy, establish consistent data definitions, and monitor overall data quality
Qualification
Required
Bachelor’s degree – Technology or Business required
2 years hands-on experience in data stewardship, and validating data as 'fit for purpose'
2 years of experience in assessing data quality levels, remediating issues, and designing testing rules based on business needs
2 years of experience in SQL, plus one or more other data analysis methods (Python, R, Java/JQuery, Scala, etc.)
Ability to translate broad business requirements and questions into concrete analysis and answers based on data
Preferred
3 years of business analyst or data quality analyst experience preferred
3 years of experience in an enterprise data quality and catalog tool (Informatica, Collibra, Alation, etc.) preferred
