Background Information

The Development Bank of Rwanda (BRD) Plc is Rwanda’s only National Development Bank mandated to assist Rwanda’s Vision 2050 development agenda. Over the past five years, the bank has registered exponential growth contributing to socio-economic development, strengthening institutional and human capacity, fostering corporate governance and risk management practices.

The Bank is implementing the revised strategic plan for 2026-2029 which is appropriately aligned to the country’s strategic direction enabling the Bank to unlock better value creation for its stakeholders by supporting entrepreneurs, addressing market failures, and impactful socioeconomic development.

To deliver on its bold vision and impactful objectives, the Bank’s expanded and refocused mandate is underpinned on four strategic focus areas:

• Availing transformational finance.
• Increasing green financing for a resilient future.
• Driving scale and impact.
• Fostering innovation and technology.

To achieve its strategic mandate, BRD recognizes the importance of strengthening its human and institutional capital to drive sustainable development and ensure the Bank remains a center of excellence in the financial sector.

BRD is committed to respecting gender equality and disability norms. We promote gender-responsive practices. Qualified candidates particularly females and persons living with disabilities are encouraged to apply.

To help accomplish this ambitious and exciting vision, the Development Bank of Rwanda (BRD) would like to recruit suitable qualified candidates to fill the following position:

Specialist, Data Analyst

Background Information

Job Title: Specialist, Data Analyst Job Grade: JG G-Specialist

Division: IT & Digital Innovation

Reports to: Head, IT Operations

Contract terms: Open ended contract

Purpose of the Job

The Senior Data Analyst is responsible for managing and optimizing the Bank's hybrid (on-premises and cloud) database and data platform estate, transforming data into actionable insights that drive business objectives. The role covers database design, performance tuning, ETL processes, data modelling, reporting, and analytics in support of core banking and enterprise applications running on both monolithic and microservices architectures. The Senior Data Analyst works closely with the Application Management, Service Management, and IT Infrastructure units to ensure the availability, security, and performance of data platforms, and partners with business stakeholders to define data requirements and deliver reliable, actionable reporting and analytics.

Main Responsibilities of the Job

Duties and responsibilities shall include but not limited to:

A. Data Analysis & Insights

• Conduct data analysis to identify trends, patterns, and insights that inform business decisions.
• Collaborate with business stakeholders to define data requirements and design data solutions.
• Design and deliver reliable reports, dashboards, and analytics outputs using data visualization tools.
• Communicate insights and findings clearly to technical and business stakeholders.

B. Database & Data Platform Management (Hybrid: On-Premises & Cloud)

• Design, develop, and maintain database structures, data elements, and data models across on-premises and cloud data platforms.
• Monitor and optimize database performance, including testing, error correction, and troubleshooting of resource-related and performance challenges.
• Ensure timely and accurate database backups, replication, and high availability for critical systems in a hybrid environment.
• Implement security measures to protect and secure data across the hybrid database and data platform estate.

C. ETL, Integration & Data-Layer Support

• Perform data extraction, transformation, and loading (ETL) processes to ensure data accuracy and integrity.
• Support the database and data layers of core banking and enterprise applications — spanning monolithic and microservices architectures — including configuration, maintenance, and troubleshooting, in coordination with the Application Management unit.
• Support the data integration of the Bank's systems, including Electronic Financial Management Information Systems, with external partners.
• Collaborate with the Application Management and Service Management units to resolve database- and data-related incidents within agreed SLAs.

D. Automation, Scripting & Technical Support

• Use scripting languages (Bash, Python) and programming skills to automate data manipulation, analysis, and visualization tasks.
• Provide timely technical support to system users for database- and data-related issues.
• Participate in process improvement and automation initiatives to enhance operational efficiency across the hybrid data platform.

E. Vendor & Cross-Functional Collaboration

• Collaborate with vendors to review contracts and manage vendor support for database and data platform tools.
• Collaborate with cross-functional IT teams — Infrastructure, Application Management, and Service Management — on IT projects to deliver efficient solutions.
• Mentor and support junior data analysts, and stay up to date with emerging trends in data analysis and database/data platform management.

Performance Indicators

• Accuracy, timeliness, and reliability of data analysis and reporting outputs.
• Database and data platform availability and performance across on-premises and cloud environments.
• SLA adherence for database-related incidents and requests.
• Successful and accurate execution of ETL processes and data integrity checks.
• Timeliness and success rate of database backups, DR tests, and restores.
• Stakeholder satisfaction and quality of technical support provided.

Working relationships

Internal: Database and Data Platform, Application Management, Service Management, IT Infrastructure, Business Units, Internal Audit.External: Database/data platform vendors, integration partners, core banking application vendors.

Professional, academic qualifications and experience

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related discipline.
• Minimum of five (5) years of experience in data analysis and database management, preferably supporting hybrid (on-premises/cloud) environments.
• Proficiency in SQL and database management systems (e.g., Oracle, MySQL, SQL Server).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data warehousing concepts and methodologies.
• Strong understanding of data privacy and security best practices.
• Relevant certifications in data analysis or database management are an added advantage.

Core competencies

• Ability to analyze and interpret complex data sets.
• Strong attention to detail and accuracy.
• Ability to work independently and manage multiple tasks and projects simultaneously.
• Effective time and organizational management skills.
• Ability to communicate insights and findings to stakeholders effectively.
• Continuous learning and adaptability to new technologies and tools.
• Collaborative mindset with willingness to share knowledge and mentor junior analysts.
• Ability to work under pressure and meet tight deadlines.

• Conduct data analysis to identify trends, patterns, and insights that inform business decisions.
• Collaborate with business stakeholders to define data requirements and design data solutions.
• Design and deliver reliable reports, dashboards, and analytics outputs using data visualization tools.
• Communicate insights and findings clearly to technical and business stakeholders.
• Design, develop, and maintain database structures, data elements, and data models across on-premises and cloud data platforms.
• Monitor and optimize database performance, including testing, error correction, and troubleshooting of resource-related and performance challenges.
• Ensure timely and accurate database backups, replication, and high availability for critical systems in a hybrid environment.
• Implement security measures to protect and secure data across the hybrid database and data platform estate.
• Perform data extraction, transformation, and loading (ETL) processes to ensure data accuracy and integrity.
• Support the database and data layers of core banking and enterprise applications — spanning monolithic and microservices architectures — including configuration, maintenance, and troubleshooting, in coordination with the Application Management unit.
• Support the data integration of the Bank's systems, including Electronic Financial Management Information Systems, with external partners.
• Collaborate with the Application Management and Service Management units to resolve database- and data-related incidents within agreed SLAs.
• Use scripting languages (Bash, Python) and programming skills to automate data manipulation, analysis, and visualization tasks.
• Provide timely technical support to system users for database- and data-related issues.
• Participate in process improvement and automation initiatives to enhance operational efficiency across the hybrid data platform.
• Collaborate with vendors to review contracts and manage vendor support for database and data platform tools.
• Collaborate with cross-functional IT teams — Infrastructure, Application Management, and Service Management — on IT projects to deliver efficient solutions.
• Mentor and support junior data analysts, and stay up to date with emerging trends in data analysis and database/data platform management.

• Data analysis
• Excel
• Audit
• SQL
• Database management systems (e.g., Oracle, MySQL, SQL Server)
• Data visualization tools (e.g., Tableau, Power BI)
• Data warehousing concepts and methodologies
• Data privacy and security best practices
• Scripting languages (Bash, Python)
• Programming skills

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related discipline.
• Minimum of five (5) years of experience in data analysis and database management, preferably supporting hybrid (on-premises/cloud) environments.
• Proficiency in SQL and database management systems (e.g., Oracle, MySQL, SQL Server).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data warehousing concepts and methodologies.
• Strong understanding of data privacy and security best practices.
• Relevant certifications in data analysis or database management are an added advantage.