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23 Aug 2022

Business Analyst x2 at National Social Security Fund (NSSF)

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Job Description


REPORTS TO: BUSINESS PROCESS REENGINEERING AND BI & ANALYTICS MANAGERS
JOB GRADE: C3

Job Purpose:
Responsible for effective data analytics and business intelligence across the Fund, implementing statistical and predictive modelling techniques to build, maintain, and improve on multiple real-time decision systems, and business processes analysis, documentation, and continuous improvement.

Duties and Responsibilities include:
• Develop and manage the creation and dissemination of reports and performance dashboards.
• Create different business scenarios, methods and innovative analyses 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, and carry out periodic research to gather valuable insights on market trends that affect the business.
• Collect data, design models and present solutions
• Collaborate 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.

Education Requirements:
• Bachelor degree in Statistics, Mathematics, Computer Science, Software engineering, Data science, or any other highly numerical and analytical field.
• Formal Certification in Data Science, Business intelligence, Big Data or Data Analytics.
Work Experience:
A minimum of 3 years of work experience as a Data Analyst, Business Analyst, Process Analyst or any related role, in a busy or fast-paced environment.

Key Competences:
• Coding (python, R)
• Data science and analytics
• Commitment & Integrity
• Proactivity & Innovation
• Proficiency in Microsoft Excel
• Collaboration skills
• Resilience & Resourcefulness
• Thinking and Problem Analysis
• Research and investigation
• Business Process Reengineering
• Project Management
• Data collection and analysis
• Computer-aided auditing techniques

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Method of Application

Interested individuals should click https://forms.office.com/r/QNivzzYU0h to fill out the application form and also send copies of their application letter, curriculum vitae and academic qualifications, addressed to the Chief of People and Culture to [email protected]  by Friday 26th August 2022. Women are encouraged to apply. Please note that canvassing or lobbying will lead to automatic disqualification of the candidate.



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