Data Analyst at Global Hotel Alliance
Dubai, Dubai, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 26

Salary

0.0

Posted On

22 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

artment: Operations

Reports to: Data Analytics Manager

Location: Dubai, UAE


Global Hotel Alliance (GHA) brings together a unique collection of independent hospitality brands for GHA DISCOVERY, a multi-brand hotel loyalty programme leveraging a shared technology platform. Through membership in GHA, hotel brands expand their global reach, drive incremental revenue by sharing customer data, and reduce dependence on third-party channels, all while maintaining management independence and individual positioning.

Our corporate website can be found at www.globalhotelalliance.com and our consumer website is at www.ghadiscovery.com


Duties and Responsibilities

This is a Data Analyst role, where you will build and apply foundational expertise in transforming data into actionable insights. You will contribute to solving business challenges by applying analytical techniques, supporting data and AI innovative solutions, and learning to navigate complex datasets. Your role will focus on executing tasks with precision, while mastering your ability to identify trends and communicate findings effectively.


  • Collaborate with stakeholders to understand data needs and assist in translating business requirements into technical specifications.
  • Perform data analysis using SQL and BI tools (e.g., Power BI) to identify trends, generate reports, and create visualizations that support decision-making.
  • Ensure data integrity by validating, cleansing, and organizing datasets from multiple sources.
  • Assist in building new prototypes, maintaining and enhancing existing dashboards, reports. At the same time, be involved in end-to-end data projects, from requirements gathering, data modeling, reports prototyping and designing data pipelines.
  • Assist in the building of Data Literacy across the organization in order to improve self-serve capabilities for business teams.
  • Troubleshoot data discrepancies and work with Stakeholders and Data Engineers to resolve issues in a timely manner.
  • Support senior analysts and business stakeholders in ad-hoc projects, including data blending, prototyping, quality assurance tasks, and presentation decks.
  • Document processes, methodologies, and findings to ensure transparency and knowledge sharing across teams.


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Responsibilities
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