Data Analyst-Transformation Office- Campus

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.
The findings have to be communicated effectively to aid in critical decisions.
A Data Analyst must work closely with the stakeholders to identify issues and propose data-driven solutions that help to achieve the objectives of the university.
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 modelling 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 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 in 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 modelling
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 high attention to detail
Ability to work under indirect supervision
Effective 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
•