Data Product Specialist – BI & CX Analytics

Qatar Airways

Doha

On-site

QAR 120,000 - 200,000

Full time

8 days ago

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Job summary

Qatar Airways is seeking a Data Analyst to optimize our airline’s commercial and operational performance. You will champion data product management and support advanced analytics delivery using GCP and Power BI to turn complex aviation data into scalable insights.

The role requires a Bachelor’s degree and at least four years in data analytics, with expertise in Power BI, Alteryx, and SQL. You will build dashboards for the Customer Experience team and contribute to data governance and

Qualifications

  • Bachelor’s degree and at least 4 years in data analytics or related roles.
  • Expertise in Power BI, Alteryx, and SQL.
  • Experience with data product development or product ownership.
  • Familiarity with customer experience and airline data.
  • Strong presentation and storytelling of business performance.
  • Analytical, systematic problem-solving and data-driven decision making.

Responsibilities

  • Develop data products and dashboards to support commercial and operational performance.
  • Collaborate with business units to translate questions into analytics requirements.
  • Champion data governance and self-service BI practices.
  • Support CXBI Manager with portfolio deliverables.
  • Analyze passenger and customer journey data to drive strategic decisions.
  • Create scalable data solutions on GCP and Power BI.

Skills

Power BI
Alteryx
SQL
Data products

Education

Bachelor’s Degree

Tools

GCP

Job description

Qatar Airways is seeking a Data Analyst to optimize our airline’s commercial and operational performance. You will champion data product management and support advanced analytics delivery using GCP and Power BI to turn complex aviation data into scalable insights.

The role requires a Bachelor’s degree and at least four years in data analytics, with expertise in Power BI, Alteryx, and SQL. You will build dashboards for the Customer Experience team and contribute to data governance and

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