Senior Data Analyst

Dubizzle Egypt is the leading marketplaces for selling and buying online in the region. Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.

We are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs.
KEY RESPONSIBILITIES

As a Senior 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, finance, and product. You will work in a high pace environment that is professional, international and entrepreneurial.

In this role, you will:

• Access data, constructing and manipulating 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 organizational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas
• Conduct full lifecycle analysis to include requirements, activities and design.
• Define KPIs metrics and drive the data governance through standardisation and communication
• Extract data and share it with stakeholders using Dashboards/Reports or Google Sheets, mentor and review similar reports work of more junior members
• Create the documentation and presentation for the management
• Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.
• Adapt at queries, report writing and presenting findings
• Research and validation of entity data using appropriate internal and external data sources
• Validating entity reference data in a central account database
• Exception management reconciliation and reporting
• Liaising and analysis 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
• Ownership of allocated work throughout its entire life cycle
• Develop new models to address business needs, as well as identify and implement improvements to existing solutions; projects are diverse and can take several forms (e.g. simulation, linear/non-linear optimization, prediction, machine learning)
• Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going strategies
• Be responsible for data quality and timely delivery of reports that make common business sense
• Create and maintain documentation for analytics, tools, and processes to ensure effective transition to end user
• Prepare and deliver Data Analytics & Reporting trainings to evangelise data across the organisation
• Be able to work autonomously without supervision on complex projects
• Mentor junior team members, review and validate their output