Manager - BI Reporting Analyst.DataCo at MTN

Responsibilities

BI Reporting & Insights Delivery

• Design, build, and maintain dashboards, automated reporting pipelines, and analytics assets that deliver decision-ready insights.
• Translate business/product requirements into reporting specifications and analytical outputs.
• Ensure accuracy, consistency, and timeliness of all BI reporting deliverables across Group and OpCo domains.

KPI Frameworks & Standardisation

• Develop and maintain standardised KPI definitions, metadata, and measurement methodologies.
• Ensure alignment with Group governance forums, DataCo standards, and product KPIs.
• Lead the consolidation and harmonisation of multi-market reporting approaches.

Data Quality, Governance & Compliance

• Ensure data integrity, lineage documentation, and compliance with MTN privacy, security, and data governance requirements.
• Embed validation, QA, and reliability checks within reporting pipelines.
• Support Responsible AI and ethical data usage principles in reporting.

Stakeholder Engagement & Support

• Collaborate with Product Owners, Data Engineering, Data Science, OpCo BI teams, and business units to meet reporting needs.
• Provide analytical insight and advisory support for senior stakeholders, including OpCo leadership.
• Engage external consulting or data monetisation clients where BI insights are required as part of product engagements.

Agile Delivery & Continuous Improvement

• Operate as part of DataCo product squads, contributing to sprint planning, backlog refinement, and delivery.
• Drive automation, operational efficiency, and optimisation of existing dashboards and datasets.
• Adopt best practices in data visualisation, analytical storytelling, and user-centric reporting..

Enablement & Documentation

• Create user guides, reporting documentation, data dictionaries, and training assets.
• Support OpCo teams during onboarding, adoption, and troubleshooting of dashboards or reports.
• Contribute to DataCo knowledge repositories and enablement portals.

Key Deliverables

Internal Deliverables

• Automated dashboards and reporting packs aligned to product KPIs.
• Standardised KPI catalogues, data dictionaries, metric definitions.
• Data quality assessment reports and improvement plans.
• Stakeholder insights presentations and analytical narratives.
• Documentation for dashboards, processes, and data lineage.

External Deliverables

• Reporting components for consulting engagements.
• Insights and dashboards for data monetisation use cases.
• Client-facing reporting templates and KPI frameworks (where applicable)

Qualifications

Education

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or related field.
• Postgraduate qualification advantageous.
• Certifications in BI tools (Power BI, Tableau, Qlik), SQL, or cloud data platforms preferred.

Experience

• 3–5 years’ experience in Business Intelligence, reporting, data analytics, or related roles.
• Experience working in large data environments (cloud platforms, data lakes, enterprise datasets).
• Telecommunications, digital services, or multi-market experience advantageous.
• Experience collaborating with product management, engineering, and business stakeholders.

Competencies

• Problem Solving: Analytical thinker with ability to synthesise insights.
• Technical Acumen: Comfortable working with data models, APIs, and enterprise datasets.
• Stakeholder Influence: Ability to engage cross-functional teams and senior stakeholders.
• Operational Excellence: Focused on reliability, accuracy, and automation.
• Agile Mindset: Practises iterative delivery and continuous improvement.
• Storytelling with Data: Clear communication of insights to non-technical audiences.

Key Deliverables:

• Automated dashboards and reporting packs aligned to product KPIs.
• Standardised KPI catalogues, data dictionaries, metric definitions.
• Data quality assessment reports and improvement plans.
• Stakeholder insights presentations and analytical narratives.
• Documentation for dashboards, processes, and data lineage
• Reporting components for consulting engagements.
• Insights and dashboards for data monetisation use cases.
• Client-facing reporting templates and KPI frameworks (where applicable)

Skills

• Strong proficiency in BI tooling (Power BI/Tableau), SQL, data modelling.
• Understanding of data engineering pipelines and cloud data environments.
• Familiarity with AI/ML concepts and analytics productization beneficial.
• Data governance, metadata, and KPI standardisation experience.

Apply Before 12/15/2025