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| National Social Security Fund (NSSF) |
3 Business Intelligence Analysts Job Post
Location: Jobs in Uganda 2025 - 2026
Work Hours: Full-time, 08 hours per day
Salary:
UGX
No. of vacancies: 03
Deadline: September 4, 2025
Hiring Organization: National Social Security Fund (NSSF)
Job Details:
The Business Intelligence Analysts will lead and manage a team responsible for driving data-driven decision-making and strategic insights within the growth and enterprise department. This role focuses on developing and implementing robust data-driven intelligence strategies, frameworks, and processes to support decision-making across initiatives implemented in the department. By harnessing the transformative potential of data, analytics, and insights, the Manager – Shared Services diligently identifies and cultivates value-centric opportunities to expedite strategic initiatives. This proactive approach aims to facilitate the department's ambitious growth objective of attaining a membership base of 1.5 million per year over the next decade. The Manager – Shared Services provides overall departmental support to the units, enabling them to track progress of strategic initiatives and derive out-of-the-box approaches to achieving their objectives based on insights drawn from the data.
Duties and Responsibilities include:
Strategic Leadership:
- Develop and execute the business intelligence strategy aligned with the department’s goals and objectives.
- Provide leadership and serve an integral role across department units by defining value-centric initiatives driven by data in line with department and organisational goals.
- Provide thought leadership and analytical rigour on a range of business opportunities.
- Lead and develop analytical teams to effectively execute the department strategy.
KPI Automation & Tracking:
Enhance monitoring and tracking of strategic departmental KPIs, including their automation to facilitate execution.
Data Translation:
- Work with partner data to segment and profile information, ensuring visibility of coverage status.
- Serve as a conduit between analytical teams and decision-makers, bridging the communication divide and adding value to insights to propel the department towards its goals.
- Utilise behavioural analytics to provide insights into lifestyle-based savings and offer guidance on opportunities and challenges.
Data Governance and Architecture:
- Implement the Fund’s data security, privacy, compliance, and governance policies, frameworks, quality standards, and management processes across the department’s data.
- Develop and maintain data models that support the department’s reporting and analytics needs.
Data Democratisation:
Adopt an always-on approach to ensure the availability of data for decision-making across departmental units, enabling stakeholders to access the data they need anytime, anywhere.
Business Reporting and Analytics:
- Collaborate with stakeholders to define and prioritise key performance indicators (KPIs) and reporting requirements.
- Identify trends, patterns, and insights from data analysis to support strategic decision-making for the department’s initiatives.
- Oversee the creation and delivery of accurate, timely, and actionable reports, dashboards, data visualisations, and insights.
Cross-Functional Collaboration & Stakeholder Engagement:
- Lead cross-functional engagements with other units within and outside the department, partnering with stakeholders and implementing agile methodologies in project execution.
- Collaborate with IT teams to ensure data availability, integrity, and accessibility for business intelligence initiatives.
- Work closely with stakeholders to translate business requirements into data and analytics solutions.
Research & Development:
Foster R&D initiatives to source best-in-class approaches, including the use of emerging technologies to effectively execute the department strategy.
Monitoring and Evaluation:
- Monitor and evaluate the effectiveness of business intelligence initiatives, identifying areas for improvement.
- Implement and optimise data analytics tools, technologies, and platforms to enhance data processing, analysis, and reporting capabilities.
- Drive a culture of data-driven decision-making across the department.
Education Requirements:
- Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, Economics, Business Analytics, or related field
- Professional qualifications in Data Analytics (e.g., Microsoft Certified Data Analyst, Google Data Analytics, Tableau, Power BI, SAS, or equivalent)
- Membership in a Data Science or Analyst Association is an added advantage.
Work Experience:
- Minimum of 3 years of experience in data analytics, business intelligence, data reporting, or business data analysis within a commercial or financial services environment
- Experience leading or mentoring analytics teams or delivering cross-functional data projects is desirable
- Experience with BI and data visualisation tools (e.g., Power BI, Tableau), data querying languages (e.g., SQL), and data management platforms is highly desirable.”
- Knowledge of data governance, data privacy, and regulatory frameworks related to data management is an advantage.”
- Experience working in agile teams or on agile data projects is an added advantage.
Application procedure
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Date Posted: 2025-08-22
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