Job Summary
Collect, organize, and analyze data to both support operational execution and provide valuable insights to the organization. This role will involve identifying, cleaning, organizing, analyzing, and publishing a wide variety of dynamic customer and performance data from various internal and external sources to support operations and inform business strategies.

Essential Duties and Responsibilities
-Collect, organize, and clean dynamic customer, financial, operational and market data from various internal and external sources, ensuring accuracy and reliability
-Maintain comprehensive customer profiles demonstrating customer demographics, current equipment inventory, cross-departmental purchase history, product and service engagement and cross-departmental account assignments (key department-specific account managers)
-Create and maintain visually appealing and insightful dynamic reports and dashboards to effectively communicate business statuses, results, and insights to internal/external stakeholders
-Analyze large and complex datasets to identify patterns, trends, and insights related to our markets and relative company performance
-Work closely with internal teams to identify market / product growth opportunities, enhance operational efficiency, and support decision-making processes
-Collaborate with cross-functional teams to develop comprehensive data-driven strategies for the company
-Continuously monitor data quality and identify opportunities for improvement
-Any other job duties as assigned

Position Qualifications
-Bachelor’s degree in Computer Science, Statistics, Business Analytics, or similar business-related disciplines required
-Minimum of 3 years of professional experience in a Data Associate role, preferably in the retail industry (Past applicable internship experience is acceptable)
-Exceptional proficiency in Microsoft Excel, including advanced functions and formulas
-Outstanding skills in Microsoft BI technologies with intimate knowledge of Power BI (Tableau experience also preferred)
-Strong analytical mindset, with the ability to derive meaningful insights from complex datasets
-Detail-oriented and highly organized, capable of managing and analyzing large volumes of data
-Excellent communication skills, both written and verbal, to effectively convey data-driven insights to non-technical stakeholders
-Must exemplify the company’s core values of Integrity, Courtesy, Respect, and Innovation