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Bayut | dubizzle
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Job summary
A leading real estate platform in the UAE is seeking a Data Analyst Intern to join their team. The role involves analyzing large datasets, developing BI dashboards using tools such as Sisense and Tableau, and collaborating with various teams across marketing, sales, finance, and product departments. Ideal candidates are skilled in SQL and Python, with a passion for data analysis and presentation. This internship offers a dynamic work environment and valuable industry exposure.
Qualifications
- Ability to construct and manipulate large datasets for analysis.
- Experience in designing and developing BI dashboards.
- Familiarity with defining KPIs and data governance.
Responsibilities
- Access and manipulate datasets using SQL and Python.
- Design BI dashboards for organisational metrics.
- Develop reporting capabilities and monitor performance.
Skills
Tools
Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.
As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.
As a Data Analyst - Intern, you will be in a central position as you will be evangelising data and our methodologies to other functional analysts and other stakeholders in the company.
You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast‑paced environment that is professional, international and entrepreneurial.
- Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools
- Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas
- Help with defining KPIs metrics and drive the data governance through standardisation and communication;
- Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements
- Adept at queries, report writing and presenting findings
- Research and validate entity data using appropriate internal and external data sources
- Liaise and analyse across projects within the Reference Data environment
- Analyzing, specifying, testing and implementing interfaces, workflow solutions, and reference data solutions – An example would be regression testing systems ahead of upgrades
- Participate in the design, implementation and interpret experiments/trials for continuous refinement of ongoing strategies
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.