Data Engineer at JLL

How we support the Whole You:  

• Our benefits are a good reason to come to JLL.
• We are committed to hiring the best, most talented people in our industry, and then empowering them with the resources and support to enhance their health, financial and personal well-being. Our underlying benefits philosophy is this: be fair to our people and provide opportunities for those who take advantage of our programs and resources to increase their personal and financial security.

What this job involves 

• Support project teams in delivering real estate consulting assignments across the MEA region 
• Centralize, organize and manage data for the team
• Analyse data from JLL databases and create a centralized database for all data points
• Develop processes and tools to streamline and monitor data collection / storage / and standardization
• Visualize data for stakeholders using Tableau and Power BI
• Create and update databases, GIS maps and associated dashboards
• Develop market analyses tools using AI and automation (e.g. Power BI)
• Produce advanced analytics results including correlation, predictive and testing results
• Assist with the development of periodic reports, slide decks and research papers.
• This job can accommodate for remote working. 
• Desired skills and experience for this job

Education and experience

• You should ideally have a Degree in Computer Science, Computer engineering, Mathematical Engineering, Statistics, Mathematics. You should have a previous consolidated professional experience in Business Intelligence projects and Big Data projects as Data Analyst for at least 3 years. An excellent working knowledge of English is an essential prerequisite (both written and verbal). Any additional language would be a plus and previous financial / real estate experience is desirable.

Technical competencies

• We will expect you to have strong analytical skills with the ability to collect, organize, analyze data and information with attention to detail and accuracy, communication aptitude (written and verbal), data management capabilities, as well as an excellent knowledge of all the computer tools: Microsoft excel, power point, word, outlook, PPT productivity tools, Power BI, Tableau, Thinkcell and ArcGIS. Knowledge of R and Python would be a plus.