Data Steward

Location: Kansas City

No Corp to Corp for this role.

Do you enjoy being challenged with complex projects? Are you looking for a great work/life balance? Do you consider yourself the best of the best? Triple-I Corp. is actively searching to add to our client's project teams. We are looking for a skilled technologist that are ready to work amongst one of the best teams in Kansas City as a full-time contract employee with excellent benefits, competitive compensation and with great work life balance.

*U.S. Citizens and all those authorized to work for any employer in the U.S. are encouraged to apply. We are unable to provide sponsorship at this time.

The requirements below are not intended to meet the needs of every project we have to offer, however if you meet these minimum requirements most likely we will have a great starting point towards an initial discussion.

Responsibilities
The primary role of the Data Steward is to utilize Data Governance and Stewardship processes to ensure data quality and maintenance of client data housed in the data warehouse and data marts. Client data includes individual and company data used by the sales and marketing teams, client financial accounts and other operational data, and external data that is brought in to enrich our data. Additionally, the Data Steward will help develop requirements and priorities for enhancements to the data warehouse. The Data Steward will be required to become familiar with the data, and the related business functions and processes related to creation and maintenance of the data, in order to ensure high levels of trust and confidence in our data.

Qualifications 
  • Bachelors’ degree in a related field or any equivalent combination of education and work experience.
  • Experience with client master data management in the B to C space.  
  • Experience developing the business rules to master clients and accounts.
  • Experience designing process improvements and high levels of attention to detail.
  • Ability to analyze large quantities of data.
  • Experience understanding of operations and data structures.
  • Proven passion for the data quality discipline.
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