What are the responsibilities and job description for the Data Steward position at ExecutivePlacements.com?
As a Data Steward, you will play a critical role in ensuring the accuracy, consistency, and usability of enterprise data, with a strong emphasis on analytics and cloud-based data environments. You will work closely with business and technical stakeholders to assess data quality, execute remediation processes, and ensure that key datasets support business intelligence and strategic decision-making. This role will be hands-on with tools such as SQL, Azure Data Services, and Power BI, focusing on making data fit-for-purpose in analytics and reporting.
Responsibilities
Responsibilities
- 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
- Bachelors 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,
- Ability to translate broad business requirements and questions into concrete analysis and answers based on data
- 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, preferred
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