đ„ 14 hours ago
đ€ Texas â Remote
đ” $50k / year
â° Full Time
đą Junior
đĄ Mid-level
đ Business Intelligence Analyst
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âą Work in partnership with the Director of Customer Success/Analytics to build, maintain, and improve reporting, dashboards, and data tools supporting client merchandising programs âą Manage and maintain core data assets, including active field rep rosters, store master lists, and program location data, ensuring accuracy, completeness, and consistent structure across systems âą Build and refresh field coverage and proximity analyses that inform staffing plans, travel classifications, and client program feasibility âą Support capacity planning and labor estimating, including rep-hours modeling for new and existing retail programs âą Manage recurring data refreshes and reporting cadences for active client programs, including execution, audit, and compliance reporting âą Develop and maintain Airtable bases, interfaces, and automations that support field operations and program management workflows âą Extract, clean, and transform data from Salesforce and other source systems to support analysis and reporting âą Collaborate cross-functionally with program managers, account teams, Information Services (IS), and field leadership to identify data needs and resolve data quality issues âą Establish and track KPIs that benchmark program performance and measure the impact of operational decisions âą Structure large data sets, create clear visualizations, and translate findings into actionable recommendations for internal stakeholders and clients âą Document data processes, definitions, and methodologies to build repeatable, scalable reporting practices
âą Bachelor's degree in a relevant program: business, analytics, economics, information systems, or similar âą Minimum of 1-2 years' experience gathering, structuring, and analyzing data âą Advanced proficiency in Excel, including formulas, pivot tables, and structured data models âą Experience with relational databases or low-code platforms such as Airtable, or demonstrated ability to learn quickly âą Analytically minded with excellent problem-solving skills âą Knowledge of data query, cleaning, and transformation practices âą Ability to interpret, visualize, and deliver clear and concise findings to key stakeholders âą Strong attention to detail, particularly with location, personnel, and program data âą Strong written and verbal communication skills âą Self-starter with a commitment to continuous learning and improvement âą Ability to manage multiple concurrent programs and adapt to a client-driven work environment
âą Remote work opportunity âą Competitive annual salary with weekly pay âą On-demand pay options through DailyPay âą Comprehensive health, dental, and vision benefits âą 401k program with company matching âą Paid time off and holidays âą Mobile phone reimbursement âą Scholarship opportunities for employees and families âą Employee Assistance Program âą Leadership Development Program
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