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Job Summary
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
- Technically creative and open-minded
