Senior Data Analyst

Job Responsibilities

• Provide data-driven insights and recommendations across sales, marketing, pricing, and promotional activities
• Analyze item-level sales performance, customer behavior, campaign effectiveness, and promotional results to identify opportunities for growth
• Monitor daily, weekly, and monthly sales trends and communicate key business drivers to leadership
• Develop, execute, and measure marketing and promotional tests to generate actionable business insights and evaluate incremental demand and profitability
• Lead customer analytics initiatives, including Customer Lifetime Value (CLTV), customer acquisition, retention, segmentation, and first-time versus repeat buyer analyses
• Build and maintain reporting dashboards and visualizations using Tableau to support business needs and decision-making
• Develop predictive and statistical models that support customer acquisition, engagement, retention, and profitability initiatives
• Automate manual reporting processes and identify efficiencies to improve business operations
• Conduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadership
• Partner with cross-functional teams to ensure data accuracy, consistency, and integrity across reporting and analytics processes
• Translate complex data findings into compelling stories and recommendations for business stakeholders
• Provide mentorship, cross-training, and ongoing guidance to junior analysts and offshore team members

• Bachelor’s degree in Economics, Mathematics, Finance, Statistics, Analytics, or a related field
• 5+ years of experience in data analytics, business analytics, or marketing analytics, preferably within a retail or e-commerce environment
• 5+ years of experience utilizing SQL, SAS, or similar analytical tools to query and analyze large data sets
• 3+ years of experience developing reporting and dashboards using Tableau or similar business intelligence tools
• Experience with web analytics platforms such as Adobe Analytics or equivalent tools
• Advanced Microsoft Excel skills, including complex formulas, data modeling, and large-scale data analysis
• Strong understanding of retail, e-commerce, and marketing concepts, including customer acquisition, segmentation, direct marketing, digital advertising, and promotional strategies
• Experience applying advanced quantitative techniques such as forecasting, attribution modeling, customer lifetime value, price elasticity analysis, simulations, and optimization models
• Proven ability to deliver actionable insights and influence business decisions through data analysis
• Strong analytical, problem-solving, project management, and organizational skills
• Excellent communication skills with the ability to present technical findings to non-technical audiences
• Ability to manage multiple priorities and projects while maintaining exceptional attention to detail