Business Intelligence Analysts (3 Positions)

JOB TITLE: Business Intelligence Analysts (3 Positions)

JOB GRADE: C5

REPORTS TO: Manager Shared Services

DEPARTMENT: Enterprise and Growth

DUTY STATION: Headquarters

Job Purpose:

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.

Interested individuals should click https://nssfuganda.jotform.com/252286522212854 to fill the application form and also attach copies of their application letter, curriculum vitae and academic qualifications addressed to the Chief of People and Culture by Thursday, September 4, 2025

Please note that canvassing or lobbying will lead to automatic disqualification of the candidate, and that providing minimal information or not attaching the required documentation may lead to the disposition of your candidature due to insufficient information provided.