3 Business Intelligence Analysts job at National Social Security Fund (NSSF)

Vacancy title:
3 Business Intelligence Analysts

Jobs at:
National Social Security Fund (NSSF)

Deadline of this Job:
Thursday, September 4 2025

Duty Station:
Uganda | Kampala | Uganda

Summary
Date Posted: Thursday, August 21 2025, Base Salary: Not Disclosed

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.

Work Hours: 8

Experience in Months: 36

Level of Education: bachelor degree

Job application procedure

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