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Data Analyst, Sr.

Wiraa

Salary not specified
Aug 27, 2025
Remote, US
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Under Armour is looking for a Sr. Enterprise Data Analyst to deliver high-quality reporting solutions that support strategic decision-making across various business units by designing, implementing, maintaining, and supporting analytical applications and data models.

Requirements

  • Proven experience in enterprise data analysis, reporting, and data modeling
  • Hands-on experience with ERP systems and business intelligence reporting tools

Responsibilities

  • Designing, implementing, maintaining, and supporting analytical applications and data models that enable the organization to extract meaningful insights from complex datasets.
  • Collaborate with business and IT leaders to understand their needs, translate them into technical solutions, and ensure seamless integration with existing data strategies.
  • Engage with business process leaders and functional analysts to understand their strategies, KPIs, and analytics requirements
  • Collaborate with cross-functional teams to align technical solutions with business needs, ensuring data and analytics support decision-making
  • Identify areas of concern in current processes and recommend data-driven improvements
  • Serve as a thought leader by innovating new ways to optimize reporting functions and simplify data access
  • Work closely with project teams, enterprise developers, data scientists, and solution architects to deliver aligned solutions

Other

  • Bachelor’s degree in Information Technology, Data Science, Business Administration, or a related field
  • Excellent communication skills, capable of translating complex technical concepts into clear business language
  • Strong analytical and problem-solving abilities
  • Experience working collaboratively across functions such as Retail, Ecommerce, Finance, and HR
  • Highly organized, adaptable, and capable of managing multiple priorities in a deadline-driven environment
  • Self-directed with a proactive approach to identifying opportunities for process improvement
  • Fluency in English, with strong written and verbal communication skills