Senior Data Analyst, Bayut & dubizzle

Data Analyst
United Arab Emirates, Dubai
October 7, 2026
Full Time

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Job Description

Bayut & dubizzle is recruiting a senior data analyst at their office in Dubai to provide data-driven decision-making in all business areas of products, marketing, sales, finance, and others. The position is about turning the raw data into useful information using structured data analytics, reporting, experiments, and modeling. The job involves creating business intelligence solutions, setting KPIs, ensuring the high quality of the data, and communicating results to all stakeholders. In addition to that, this position includes developing predictive analytics solutions to solve business problems through forecasting, optimization, simulation, and machine learning.

Experience: 6+ years of experience in analytics, preferably within an internet or e-commerce environment. 

Qualification: Bachelor’s degree in statistics, mathematics, computer science, or a related field. 

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Responsibilities

  • Use SQL and Python with other tools for the analysis and manipulation of large data sets.
  • Create business intelligence dashboards through Sisense, Tableau, Power BI, and other such software.
  • Formulate KPIs, develop data governance, and create reliable reports in various areas of the business.
  • Build predictive analytics projects through prediction, optimization, simulation, and machine learning.
  • Collaborate with product, marketing, sales, finance, and commercial departments to convert data into insights.

Qualifications

  • Bachelor’s Degree in Statistics, Mathematics, Computer Science, or any other similar discipline.
  • 6 or more years of experience in an analytics role, preferably in the internet or e-commerce domain.
  • Excellent skills in SQL and Microsoft Excel with exposure to big data.
  • Knowledge and experience with Python, R, statistical methods, predictive modeling, data analysis, etc.
  • Strong analytical, storytelling, communication, and problem-solving abilities. 

Preferred Qualifications

  • Experience in building and managing predictive models with big data.
  • Experience in e-commerce, the Internet, or digital media environments.
  • Experience in experimentation, optimization, and machine learning projects.
  • Good understanding of data quality, reference data, data reconciliation, and reporting.
  • Able to work independently but collaboratively with other business groups in complex projects.

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