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Business Intelligence Analyst

DUBAI EXECUTIVE COUNCIL

Remote · Part Time

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경험
어느
샐러리
채용 공고
1
게시됨
2시간 전
Work mode
재택근무
교육
Bachelor’s degree in data science, business, information systems, statistics, or related field
Eligibility
Candidates with a background in data science, business, information systems, statistics, or a related area may apply, as well as those with equivalent practical experience. The role suits professionals who can work independently in a remote, part-time setting.
Resume
Required to apply

직무 설명

Role Overview

This is a remote, part-time position for a Business Intelligence Analyst. The role focuses on collecting, examining, and interpreting data from different sources to inform both strategic and day-to-day business decisions.

What You’ll Do

  • Assemble, maintain, and refine data models that support analysis and reporting.
  • Create, improve, and manage dashboards that make information easy to understand and use.
  • Use business intelligence platforms to produce reports, insights, and decision-support outputs.
  • Work closely with stakeholders to understand what information they need and turn those needs into analytical solutions.
  • Share findings in a clear, practical format that can be acted on by decision-makers.
  • Help improve data quality, performance tracking, and reporting practices over time.

Qualifications

  • Strong analytical ability to evaluate complex datasets and spot trends, patterns, and meaningful insights.
  • Experience building data models for reporting, analysis, and dashboard design.
  • Hands-on capability in dashboard development and data visualization.
  • Working knowledge of business intelligence tools used for extracting, transforming, analyzing, and reporting data.
  • Business analysis skills to capture stakeholder needs and align outputs with business objectives.
  • Exposure to SQL, visualization tools such as Power BI or Tableau, and spreadsheet applications is an advantage.
  • Excellent communication, attention to detail, and the ability to work independently in a remote part-time setup.
  • A bachelor’s degree in data science, business, information systems, statistics, or a related discipline, or equivalent practical experience, is preferred.

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