Data Analyst

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