Data Analyst

Zayed University

Data Analyst-Transformation Office-Dubai Campus,

Zayed University, Dubai

Full Job Description

The responsibility of a Data Analyst is to analyze, synthesize data into meaningful insights and use data to create predictive models using machine learning algorithms and advanced statistical analysis. A Data Analyst must work closely with the stakeholders to identify issues and propose data-driven solutions that help achieve the university’s objectives. The findings have to be communicated effectively to aid in critical decisions.

Job-Specific Responsibilities

  • Work with the stakeholders to identify opportunities and needs to deliver and propose solutions for effective decision-making.
  • Perform data mining and analyze data from different information systems to discover the trends and patterns in data
  • Use machine learning algorithms and statistical methods to create actionable plans and provide solutions to the challenges.
  • Produce executive reports for the relevant stakeholders with clear recommendations and insights
  • Use predictive modeling and not limited to improve student performance and retention; identify at-risk students and the predicted outcome for the student; predict future rankings of the university and assess the area for the scope of improvement.

Basic Qualifications

  • Master’s degree in Data Science, Data Analytics, Statistics, Computer Science, Applied Mathematics or related discipline
  • Minimum of 7 years of experience as a Data Scientist/Statistician or in a similar role

Technical Skills

  • Proficiency with different machine learning algorithms, advanced analytics, and data mining techniques.
  • Strong understanding of mathematics and statistics
  • Working knowledge of programming languages such as R, Python and database query languages such as SQL using Oracle, SQL Server, and SQL query tools like TOAD, SQL Developer
  • Proficiency in statistical software such as SPSS; advanced knowledge of statistical methods and techniques (regression, statistical tests, distributions, etc.) and experience in statistical analysis
  • Ability to interpret and assess data, analyze trends, and forecasting using regression and other methods of statistical modeling
  • Strong report writing skills and the ability to translate technical content into an understandable and compelling report
  • Knowledge of data warehouse solutions and data lake
  • Experience with data visualization tools such as Power BI, Tableau
  • Experience with cloud platforms such as AWS/Azure

Additional Experience and Skills

  • Excellent oral and written communication skills
  • Analytical and aptitude in problem-solving with great attention to detail
  • Ability to work under indirect supervision
  • Practical interpersonal skills and collaborative management style to include teamwork and team-building ability.
  • Comfortable with ambiguity and time spent outside of comfort zone acquiring new skills
  • Technically creative and open-minded

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