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DATA ANALYST

AaraTechnologies IncCalifornia City, CA🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

This hybrid Data Analyst role at AaraTechnologies Inc. offers a fantastic opportunity to grow your skills in retail and e-commerce analytics, building impactful dashboards and driving data-driven decisions. You'll thrive here if you have 2-3 years of experience with SQL and visualization tools, and are eager to contribute to a dynamic tech environment. Don't miss out on this chance to advance your career!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
California City, CA, United States
Posted
4 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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