Data Steward

Summary

Join Smartdesc, a Microsoft Gold Partner IT service provider, as a Data Steward for a 12-month contract. Based remotely within the UK, you will ensure the completeness, quality, and accuracy of product data across multiple systems for an international beauty client. This hands-on role involves data validation, stewardship, problem-solving, stakeholder collaboration, and reporting. You will play a critical role in the timely launch of new products across multiple regions by ensuring data meets necessary standards. The ideal candidate possesses extensive data management experience, advanced Excel skills, and strong analytical and communication abilities. This is a great opportunity to work with a dynamic company and make a significant impact on data quality within a large organization.

Requirements

• Data Management Expertise: Minimum of 5 years of experience working with data management principles and data integrity concepts
• Tool Proficiency: Advanced skills in Excel, and other data tools to maintain and manage data inputs and outputs. This includes dashboard creation
• Data Systems Knowledge: Familiarity with a range of data management systems
• Data Lifecycle Understanding: Ability to manage and understand the complete lifecycle of product data from creation to launch
• Analytical & Detail-Oriented: Strong analytical mindset with keen attention to detail and the ability to spot discrepancies or gaps in data
• Communication Skills: Effective communication with both business and technical stakeholders, ensuring clarity in data-related discussions
• Ecommerce or Retail Experience: Experience working in an ecommerce or retail environment, especially with platforms that serve multiple countries and markets

Responsibilities

• Data Validation: Ensure that all mandatory product data across core systems is complete, accurate, and up to date. Ensuring QA process is followed across ecommerce platforms
• Data Stewardship: Coordinate with data owners to correct discrepancies in data and ensure consistency across systems
• Problem-Solving: Identify areas where data quality can be improved and work with various teams to implement solutions
• Stakeholder Collaboration: Communicate with stakeholders to clarify data requests and address any data-related issues, ensuring alignment with launch schedules
• Data Tracking & Reporting: Create and manage detailed reports on product data status and product launch progress