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DATA ANALYST

AaraTechnologies IncWashington, DC🇺🇸United StatesPosted 11 Aug 2026

Why This Role Stands Out

This hybrid Data Analyst role at AaraTechnologies Inc offers a fantastic opportunity to hone your analytical skills and contribute to impactful data-driven decisions within the dynamic retail and e-commerce sectors. You'll thrive here if you possess strong SQL and visualization expertise and are eager to grow your career in a supportive environment. Apply now to join a forward-thinking company and elevate your data analytics journey!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Washington, DC, United States
Posted
2 weeks ago
SQLTableauPower BI

Job Description

Data Analyst Retail & E-Commerce (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail and ecommerce platforms. This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early-career professionals building analytics expertise.

Key Responsibilities
  • Analyze retail and ecommerce datasets
  • Build dashboards using Tableau or Power BI
  • Write SQL queries for data analysis
  • Perform data validation and quality checks
  • Support KPI and trend reporting
  • Assist with ad-hoc analysis
  • Document metrics and reports
Required Qualifications
  • 2-3 years of experience in data analysis or reporting
  • Strong SQL skills
  • Proficiency in Excel
  • Experience with Tableau or Power BI
  • Understanding of data validation concepts
  • Exposure to retail or ecommerce data
  • Strong analytical skills
Skills

Retail Analytics, E-Commerce Data Analysis, Sales Data Analysis, Customer Behavior Analysis, Transaction Data, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Formulas), Tableau, Power BI, Data Visualization, Dashboard Development, KPI Reporting, Conversion Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication

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