https://bayt.page.link/RBCbFKKkYJ4mQnPp9
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Job Description

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 Sales Operations Data Analyst, 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, BI team, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.


In this role, you will:


  • 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;
  • Extract data and share it with stakeholders using Dashboards/Reports or Google Sheets;
  • Create the documentation and presentation for the management under the supervision of more senior staff;
  • 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;
  • Analysis, specification, testing and implementation of interfaces, workflow solutions, and reference data solutions – An example would be regression testing systems ahead of upgrades;
  • Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies;
  • Responsible for data quality and timely delivery of reports that make common business sense;
  • Participate in Analytics & Reporting trainings to evangelise data across the organisation;
  • Be able to work autonomously without supervisione execution.

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