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Department of Community Development

Chief Specialist- Data Analytics (Arabic Speaking- Contract)

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  • Posted 14 days ago
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Job Description

The Department of Community Development has an interesting job opportunity for a Data Analytics Specialist on an outsourced contract (yearly renewable)

About the Role

Oversee the provision of statistical analysis to identify trends according to the geographical quality of life framework. The role involves developing insights and predictive models and providing the management with periodic data and reports to support strategic decisions.

Responsibilities

  • Develop actionable insights and predictive models to support strategic decisions and public policy development.
  • Analyze models and data to identify trends.
  • Prepare periodic reports for the office and senior management to support strategic decisions regarding improving quality of life and updating related policies.
  • Develop models and scenarios using statistical methods and machine learning techniques.
  • Identify key performance indicators and develop a monitoring mechanism to track performance and determine the effectiveness of programs and projects and provide recommendations.
  • Simplify complex data and transform it into clear narratives for senior management to support decision-making.
  • Lead analytical projects according to approved project timelines and ensure accuracy and integrity in all analyses.
  • Enhance analytical capabilities by transferring best practices, innovating new tools and techniques, and proposing methodological improvements for data collection and analysis to achieve higher performance efficiency.

Qualifications

  • Master's degree from a recognized academic institution, with a preference for a PhD
  • Minimum of 8 years of experience.
  • Bilingual Arabic and English

Required Skills

  • Big Data Analytics & Artificial Intelligence
  • SPSS, Stata, R, Python
  • Power BI, Tableau, GIS platforms

We thank you for your interest and we welcome candidates who fulfill all the above requirements to submit their resumes through LinkedIn. We will contact you within 2 weeks if your profile is shortlisted for the role.

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Job ID: 143812225