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AARATECH

Data Analyst – AI & Automation

AARATECH

Remote • Vollzeit

Bewerben Sie sich als Erste/r!

Erfahrung
2+ yrs
Gehalt
Stellenangebote
1
Veröffentlicht
vor 7 Stunden
Work mode
Arbeiten von zu Hause
Ausbildung
Bachelor’s degree in Data, IT, or related field
Eligibility
Only candidates who are legally authorized to work in the United States without sponsorship will be considered.
Resume
Required to apply

Stellenbeschreibung

Role Overview

Aaratech Inc. is hiring a Data Analyst to support AI and automation initiatives from a remote role based in the United States. The position is centered on turning data into insights that help shape automation plans and AI-enabled solutions.

About the Company

Aaratech Inc. is a technology-focused organization that works on innovative solutions for healthcare and enterprise use cases. The company emphasizes data-led decision-making, operational improvement, and collaborative delivery to create better outcomes.

Responsibilities

  • Examine datasets to identify opportunities where automation can improve processes.
  • Assist in preparing data for AI and machine learning model development.
  • Work with structured datasets and data pipeline workflows.
  • Create reports and dashboards that support business and technical decision-making.
  • Partner with technical teams to align analysis with project goals.

Requirements

  • Bachelor’s degree in Data, Information Technology, or a closely related discipline.
  • At least 2 years of experience working as a Data Analyst.
  • Hands-on exposure to AI or automation-related projects.
  • Strong analytical and problem-solving ability.
  • Knowledge of Python or R is preferred.
  • Experience working with machine learning datasets is preferred.
  • Familiarity with Power BI or Tableau is preferred.

Eligibility

Only candidates who are legally authorized to work in the United States without sponsorship will be considered.

Preferred Skills

  • Data analysis
  • AI and automation support
  • Data preparation for machine learning
  • Data pipeline handling
  • Reporting and dashboard creation
  • Cross-functional collaboration
  • Python or R
  • Power BI
  • Tableau

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