Business Analyst job at National Social Security Fund (NSSF)

Job Purpose:

Responsible for effective data analytics and business intelligence across the Fund, implementing statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.

Duties and Responsibilities include:

• Develop and manage the creation and dissemination of reports and performance dashboards.
• Create different business scenarios, methods and innovative analysis of available data while developing data solutions.
• Identify information gaps, design reports and publish them, aimed at guiding the field teams
• Collect data, analyze and present insights
• Collect expenditure and revenue data and prepare a cost benefit analysis
• Set targets for all key performance indicators based on empirical analysis
• Collect, analyze and present data, carry out periodic research to gather valuable insights on market trends that affect the business
• Collect data, design models and present solutions
• Partner with process owners to adhere to standard systems and methods for managing business processes, enabling sustainable improvements in business results
• Managing business processes, enabling sustainable improvements in business results
• Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions.

Academic and Professional Qualifications:

• Bachelors’ degree in a mathematical or IT related field like Statistics, Mathematics, Computer Science, Software engineering, Data science, or any other highly quantitative field.
• Formal Certification in; Data Science, Big Data or Data Analytics.

Experience:

• 3 years work experience in an IT or Finance in any busy environment and 1 year as senior officer.

Behavior Competencies:

• Commitment & Integrity
• Proactivity & Innovation
• Getting Work Done
• Relationship Building
• Communicating and Influencing
• Resilience & Resourcefulness
• Thinking and Problem Analysis

Technical Competencies:

• Research and investigation (Advanced)
• Business process and project management (Advanced)
• Risk and control (Intermediate)
• Data collection and analysis (Advanced)
• Problem solving tools and techniques (Advanced)
• Computer aided auditing techniques (Advanced)

• Develop and manage the creation and dissemination of reports and performance dashboards.
• Create different business scenarios, methods and innovative analysis of available data while developing data solutions.
• Identify information gaps, design reports and publish them, aimed at guiding the field teams
• Collect data, analyze and present insights
• Collect expenditure and revenue data and prepare a cost benefit analysis
• Set targets for all key performance indicators based on empirical analysis
• Collect, analyze and present data, carry out periodic research to gather valuable insights on market trends that affect the business
• Collect data, design models and present solutions
• Partner with process owners to adhere to standard systems and methods for managing business processes, enabling sustainable improvements in business results
• Managing business processes, enabling sustainable improvements in business results
• Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions.

• Research and investigation (Advanced)
• Business process and project management (Advanced)
• Risk and control (Intermediate)
• Data collection and analysis (Advanced)
• Problem solving tools and techniques (Advanced)
• Computer aided auditing techniques (Advanced)

• Bachelors’ degree in a mathematical or IT related field like Statistics, Mathematics, Computer Science, Software engineering, Data science, or any other highly quantitative field.
• Formal Certification in; Data Science, Big Data or Data Analytics.