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DATA ANALYST

AaraTechnologies IncTexas City, TX🇺🇸United StatesPosted Oct 16, 2026

Why This Role Stands Out

This hybrid role at AaraTechnologies Inc. offers you the chance to significantly impact healthcare decision-making through insightful data analysis and reporting, utilizing cutting-edge BI tools like Tableau and Power BI. You'll thrive here if you're a detail-oriented analyst with 2-3 years of experience, eager to grow your skills in a collaborative environment and contribute to meaningful healthcare initiatives. Apply today to leverage your SQL expertise and build a rewarding career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Texas City, TX, United States
Posted
21 hours 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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