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Data Steward
- WESCO (Pittsburgh, PA)
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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:
+ 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
Qualifications:
+ 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
+ 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
\#LI-JB1
At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on.
Our Company’s greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits (https://www.wesco.com/us/en/our-company/careers/work-at-wesco.html#benefits) and active community engagement, we create an environment where every team member has the opportunity to thrive.
Learn more about Working at Wesco here (https://www.wesco.com/us/en/our-company/careers/work-at-wesco.html) and apply online today!
Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company.
_Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer._
_Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act._
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