Position Overview:As a Data Science, you will be pivotal in designing and implementing robust MDM solutions to ensure the accuracy, consistency, and reliability of critical business data across the organization. Collaborating closely with stakeholders, business leaders, and IT teams, you will gather requirements, define data governance policies, and architect scalable MDM solutions that align with organizational goals and industry best practices.
Essential Job Functions:Data Governance and Policies:Develop and implement data governance frameworks, policies, and procedures to govern master data creation, maintenance, and usage.Establish data quality standards, metrics, and KPIs to measure and monitor the effectiveness of MDM initiatives.Collaborate with business stakeholders to define data ownership, stewardship, and accountability roles within the organization.Data Quality Assurance & Collaboration:Ensure the accuracy, completeness, and reliability of data used for MDM. Address data quality issues through cleansing, validation, and verification processes.Implement continuous improvement processes to enhance data quality and governance practices.Develop reports and dashboards and build compelling data visualizations that effectively measure, track, and quantify changes in customer behavior and data quality patterns.Serve as a subject matter expert on MDM principles, methodologies, and best practices, guiding project teams and stakeholders on MDM-related matters.Documentation and Communication:Document data models, processes, governance frameworks, and analytical findings to ensure transparency and knowledge sharing.Communicate complex technical concepts to non-technical stakeholders clearly and concisely.Display deep intellectual curiosity, creativity, and commitment to learning to solve critical business problems and push the boundaries of our capabilities.Contribute to complex long-term projects from initial scoping through full execution and training with inputs from various cross-functional teams (IT, Business, Marketing, Loyalty, and more).Utilize exceptional communication skills to present findings across the business by effectively translating complex data and analysis into clear insights, opportunities, and tangible business recommendations.
Required Skills and QualificationsBachelor’s degree in economics, statistics, math, or related business field; Master’s preferredMinimum of 2+ years of experience in data analysis or data architectureAt least one year of experience using data quality and profiling tools such as Information Steward or Reltio (MDM) for data profiling, automated data cleansing, and proactive management of the quality of the dataExperience with Snowflake and Advanced SQL; building large data sets across disparate sources requiredExperience with statistical programming languages required (Python, R)Understanding MDM concepts, including data modeling, governance, quality management, and integration.Desire to learn new analytic and data manipulation techniques to become a ‘local expert’Ability to think conceptually and creatively about problems and solutionsStrong interpersonal communication skills, verbal and written, are required due to the nature and level of interaction with senior management.Demonstrated ability to prioritize workload and ability to manage multiple projects while meeting deadlines.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.