Retail Data Analyst: Growth & Revenue Insights (Hybrid)

AARATECH; United States; Hybrid; USD 60,000 - 70,000; Full time

Job summary

Aaratech Inc. is seeking a Data Analyst – Retail & E-Commerce to turn sales, customer, and digital data into growth.

You will build merchandising and funnel reporting, analyze customer behavior and lifetime value, and deliver insights that improve conversion, margin, and retention. Collect, clean, and analyze data using SQL and Python; design dashboards in Power BI or Tableau; analyze segmentation, churn, retention, and CLV; support pricing, promotions, and demand forecasting; blend GA4/Adobe

Qualifications

• Bachelor's degree in a data-related field.
• 2+ years as a Data Analyst in retail/e-commerce/CPG.
• Strong SQL skills with complex joins, window functions, CTEs, and optimization.
• Proficiency with Power BI or Tableau and advanced Excel.

Responsibilities

• Collect, clean, and analyze sales, customer, inventory, and web/app behavioral data using SQL and Python.
• Design and maintain dashboards in Power BI or Tableau for sales performance, funnel conversion, and inventory health.
• Analyze customer segmentation, churn, retention, and CLV.
• Support pricing, promotion effectiveness, and demand-forecasting analysis.
• Blend GA4/Adobe Analytics data with transactional and POS data.
• Ensure data accuracy, consistency, and reporting quality across platforms.
• Present findings to merchandising, marketing, and operations stakeholders.

Skills

SQL proficiency

Data storytelling

Stakeholder communication

Analytical thinking

Education

Bachelor's degree in Data Science, CS, IT, Business Analytics or related field

Tools

Power BI

Tableau

Microsoft Excel (Power Query, pivot tables, advanced formulas)

dbt / modern data-stack

Job description

Aaratech Inc. is seeking a Data Analyst – Retail & E-Commerce to turn sales, customer, and digital data into growth.

You will build merchandising and funnel reporting, analyze customer behavior and lifetime value, and deliver insights that improve conversion, margin, and retention. Collect, clean, and analyze data using SQL and Python; design dashboards in Power BI or Tableau; analyze segmentation, churn, retention, and CLV; support pricing, promotions, and demand forecasting; blend GA4/Adobe