This is a hands-on role requiring day-to-day data maintenance work, including researching and resolving data exceptions and breaks across systems (e.g., trading platforms, Data Warehouses, Visualization Systems, and Golden Sources), and working directly with data owners to align fields and definitions across systems. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs.