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A

Data Engineer

AARATECH

Location

Remote

Salary

Not specified

Type

Full-time

Posted

Today

via linkedin

Job Description

Location:

United States (Remote / On-site – based on client needs)

Employment Type:

Full-time (Contract or Contract-to-Hire)

Experience Level:

Entry-level (0–2 years)

Company:

Aaratech Inc

🛑

Eligibility:

Open to U.S. Citizens and Green Card holders only. We do not offer visa sponsorship.

🔍

About Aaratech Inc

Aaratech Inc is a specialized IT consulting and staffing company focused on placing talented individuals across data, cloud, and software disciplines. We work with top U.S. enterprises to deliver long-term roles, competitive compensation, and opportunities to grow in modern data environments.

🎯

Position Overview

We are seeking a

Junior Data Analyst

with 0–2 years of experience to support data analysis, reporting, and dashboard development for enterprise clients. This role is ideal for early-career candidates who want to gain hands-on experience working with real-world datasets, analytical tools, and business teams. You will collaborate with senior analysts and data engineers to deliver clean, reliable insights that support business decisions.

🛠️

Key Responsibilities

  • Assist in analyzing datasets to identify trends and insights
  • Support the creation of dashboards and reports using Power BI, Tableau, or Excel
  • Write basic SQL queries for data extraction and validation
  • Clean, organize, and prepare datasets for analysis
  • Document findings and prepare simple data summaries for business teams
  • Collaborate with senior analysts on KPIs, metrics, and data requirements
  • Help with data quality checks and troubleshoot data discrepancies
  • Maintain documentation for reports, dashboards, and data processes

Required Skills \& Experience

  • 0–2 years of experience in Data Analysis or a related field
  • Basic proficiency in SQL
  • Hands-on experience with Excel (pivot tables, formulas, charts)
  • Familiarity with any BI tool (Power BI, Tableau, or Looker)
  • Understanding of data cleaning, validation, and analytical concepts
  • Knowledge of Python (optional but preferred) for basic data manipulation
  • Strong attention to detail and analytical thinking
  • Good communication skills and willingness to learn

Nice to Have

  • Exposure to data visualization tools or dashboard building
  • Familiarity with data models or basic statistics
  • Internship or academic projects related to data analysis
  • Experience with Google Analytics, Power Query, or data cleansing tools
  • Understanding of cloud platforms (AWS/GCP/Azure) at a basic level

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