Manager Business Intelligence and Reporting

Information Technology

  • Reference number: 0018
  • Job type: Permanent
  • Juba
    Central Equatoria
  • Organisation Name: MTN South Sudan
  • MTN Level: 3
  • Posted: 28 Apr 2025

Job requirements

Job Requirements (Education, Experience and Competencies)

QUALIFICATION:
• BSc Degree in Computer Science, Information Technology, Business Analytics, Statistics, or
related fields

EXPERIENCE:
• At least 4 years’ experience in Business Intelligence in a related industry.
• Proficiency in SQL for querying, transforming, and managing large datasets.
• Experience with database management systems such as SQL Server, Oracle, or PostgreSQL.
• Familiarity with tools such as Python, R, SAS, or other analytics languages for advanced analytics.
• Ability to create complex reports, dashboards, and visualizations that provide insights and inform
business decisions
• Experience with Linux, shell scripting, and Perl is highly valuable.

COMPETENCIES:
Knowledge:
• Computer & Information Technology Appreciation
• Performance Improvement
• Planning & Organising
• Problem Solving
• Project Delivery
• Project Planning & Management
• Quality Assurance
• Resource Management
• Scope Planning & Management
• Stakeholder Relations Management

Job description

RESPONSIBILITIES (Not limited to:)RESPONSIBILITIES (Not limited to:)

• Led successful BI platform delivery: Oversaw the deployment of BI data lake platforms, such as EVA,
ensuring they aligned with key business objectives and met performance standards.
• Architected and developed data infrastructure: Designed and implemented Data Warehouses and Data
Pipelines, ensuring optimized data flow and accessibility for advanced reporting.
• Guided BI architecture and tools strategy: Provided expert advice on BI tools, architecture, and
technologies, supporting data processing and analytics initiatives across the organization.
• Built and maintained scalable ETL processes: Developed and managed ETL workflows and data marts,
ensuring alignment with evolving business objectives.
• Collaborated with cross-functional teams: Partnered with stakeholders to gather Business Intelligence
requirements, ensuring the reporting framework met the needs of business units.
• Designed and maintained report metadata: Established and continuously updated metadata
frameworks, ensuring data consistency, accuracy, and timely reporting.
• Ensured data integrity and reliability: Monitored data accuracy and facilitated metrics-driven insights
that improved operational performance and strategic decision-making.
• Managed data infrastructure and analytics tools: Oversaw data warehouse, data lake, and analytical
tools, ensuring scalability, uptime, and system reliability.
• Supported cross-functional analytics initiatives: Assisted with KPI tracking, ad hoc analyses, and
dashboards for various departments.
• Facilitated IT integration efforts: Engaged with IT management and technical teams to enable seamless
integration and interoperability of BI systems across platforms.
• Enhanced data governance and compliance: Implemented and enforced data governance policies,
ensuring compliance with data security and privacy standards.
• Led a team of BI professionals: Managed and mentored a team of data analysts and BI developers,
fostering a culture of continuous learning and data-driven innovation.
• Monitored BI platform performance: Conducted regular audits and performance assessments of BI
systems, implementing optimizations for improved system responsiveness.

Information Technology Security Responsibilities/ Tasks:
• Comply with all Information Security Policies and related documents.
• Report security weakness/incidents to either the respective head of department or the Enterprise
Information Security Manager
• Must not exploit known security weaknesses.
• Participate in all forms of Information Security Awareness

Creativities (improvement/innovation inherent):
• Data Process Optimization: Constantly assess and enhance ETL processes, data pipelines, and
reporting frameworks to improve data flow, reduce latency, and maximize efficiency.
• Continuous Improvement in Data Quality: Lead initiatives to implement automated data quality checks
and error-handling mechanisms.
• Personalized Insights and KPI Tracking: Develop customized reporting and dashboards tailored to
different business units or functions, providing specific metrics and KPIs that address each team’s
unique goals and needs.
• Team Empowerment and Skill Development
• Exploration of Emerging Technologies