Do You Want To Work For NSFAS? NSFAS Is Looking For A Data Analyst (Remuneration Package: R627 435 – R739 054 per annum) | Youth Opportunities
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Do You Want To Work For NSFAS? NSFAS Is Looking For A Data Analyst (Remuneration Package: R627 435 – R739 054 per annum)

Do You Want To Work For NSFAS? NSFAS Is Looking For A Data Analyst (Remuneration Package: R627 435 – R739 054 per annum)


The NSFAS does not consider late applications. The NSFAS talent acquisition team only corresponds with Shortlisted Candidates.


Do You Want To Work For NSFAS? NSFAS Is Looking For A Data Analyst (Remuneration Package: R627 435 – R739 054 per annum)

POSITION OVERVIEW:

Responsible for collecting, processing, and performing statistical analysis on large data sets to identify trends patterns and correlations that can inform organizational decision-making and performing root cause analysis. As well as include data collection and cleaning, statistical analysis, creating reports and visualizations for non-technical audiences, collaborating across departments to support data driven decisions and ensuring data quality.

RESPONSIBILITIES

  • Data Analysis and Interpretation
  • Data warehousing
  • Reporting and Dashboard Development
  • Collaboration and Communication
  • Continuous Improvement.
  • Risk and Compliance

DESIRED SKILLS AND EXPERIENCE

Minimum requirements:

  • Bachelor’s degree in data science, Engineering, Project Management or related.
  • 4-6 Years’ experience in the ICT Domain of which at least 3 should be focused on Data Analysis
  • Advanced knowledge of SQL/Python/BI.
  • Technical proficiency regarding database design, data models, techniques for data mining and segmentation.
  • Proficiency in statistics and statistical packages like Excel
  • Advanced experience in database management

Preferred

  • Post Grad Degree in Data Science Engineering or related Degree.
  • Data Engineering Certifications
  • Cloud Computing Certifications
  • Project management Skills
  • Knowledge of the higher education sector
  • Knowledge of SSSIS
  • Knowledge of data warehousing
  • In depth knowledge of automation, database querying and stored procedures a must

Skills and Competencies:

  • Data Analysis
  • Business Intelligence
  • Data warehousing
  • Data modelling
  • Analytical skills
  • Interpersonal skills
  • Problem solving & decision-making skills.
  • Report writing skills.
  • Time Management

DEADLINE: 30 April 2024

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