Senior Data Analyst

Jobtailor; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a data analytics professional to derive insights across sales, marketing, pricing, and promotions. You will analyze item-level performance, customer behavior, and campaign effectiveness while monitoring trends and communicating drivers to leadership.

You will develop, test, and measure marketing initiatives, lead CLTV analyses, and build Tableau dashboards to support decision-making. Expect collaboration across teams, mentorship, and formal reporting of results.

Qualifications

• 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.
• 3+ years of experience developing reporting and dashboards using Tableau or similar BI 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.

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 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.

Skills

SQL

SAS

Excel

Forecasting

A/B testing

Customer analytics

Storytelling

Education

Economics/Math/Stats degree

Tools

Tableau

Adobe Analytics

R/Python

Job description

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

Requirements

• 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