Senior Urban Data Analyst Jobs in Dubai | AECOM
Job Responsibilities:
Develop mathematical and statistical models to analyse data in a data science context, which can be applied to urban planning & design projects
Interpret data and report conclusions from conducted analysis to support the statistical evaluations, which can help support and improve decision-making for urban planning & design projects
Condense and encapsulate data characteristics, making it easier to identify risks, analyse trends, and drive effective decision-making, present findings and data insights in creative ways to facilitate the understanding of data across a range of technical and non-technical audiences.
Generate data visualisation, reports, converts or transfers data using GIS software and scripting languages.
Have a strong base in platform design process and execution, including a speciality in statistical analysis and interpretation of data Interest in planning and policy research and the ability to blend qualitative and quantitative analyses to provide support for the use of existing statistical research methods and tools and configure these methods within a known context
Review urban growth models and code create a parametric urban design to create an advanced urban simulation
Contribute to the design of databases or development of geodatabases and systems, as well as compile and analyses GIS data
Excellent recordkeeping, as well as written, graphical, and verbal communication skills
Ability to stay organised while balancing multiple projects and priorities simultaneously
Advanced ability to recommend and implement technical recommendations for cross-functional business development
Technical/ Functional Competencies: Data Science and Analysis Capabilities Software Programming Data Visualization Urban Design and Planning thinking
Software: ArcGIS/ QGIS, Power BI, Alteryx, Tableau, Rhino/ Grasshopper, Adobe Suite (Photoshop, InDesign, Illustrator), Microsoft Excel (Advanced)Programming Languages: Python, JavaScript, HTML, Ruby, R Programming, SQL and be ready to adapt to new ones
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