Manager - Data Analyst.DataCo at MTN

Responsibilities

Analytics & Insight Delivery

• Perform exploratory and advanced analytics on telco, geospatial, digital, and behavioural datasets across OpCos.
• Analyse ML model outputs from Data Science teams and convert them into clear, actionable insight narratives.
• Develop diagnostic and predictive insights for commercial, network, product, financial, and digital use cases.

Dashboarding & Data Visualisation

• Build and manage scalable dashboards and performance scorecards for Group, OpCo, and DataCo consulting teams.
• Ensure consistency, accuracy, and usability of analytical outputs across markets.
• Provide spatial and behavioural visualisations to support mobility analytics, footfall use cases, and ecosystem projects.

Collaboration With Data Science, Engineering & Product

• Work closely with the Senior Manager: Data Science in shaping use cases and interpreting model results.
• Partner with Data Engineers to ensure data readiness and quality for analytics consumption.
• Collaborate with Data Product Managers to embed insights into DataCo products and monetisable solution

Commercial & Consulting Support

• Provide insights to support DataCo Consulting during client engagements.
• Package analytics outputs for external monetisation, sector solutions, and proof-of-value (PoV) engagements.
• Translate analytics into commercial narratives that drive revenue, efficiency, risk mitigation, or customer experience improvements.

Model Monitoring & Ethics:

• Ensure analytics deliverables comply with MTN data governance, privacy, and responsible AI frameworks.
• Validate data integrity, definitions, and consistency across markets.
• Promote a culture of ethical, transparent, trusted data use within DataCo and OpCos.

Cross-functional Collaboration:

• Coordinate workstreams across OpCos to ensure alignment with DataCo standards.
• Drive thought leadership in analytics storytelling, visualisation, and cross-market learning.

Qualifications

Job Requirements (Education, Experience and Competencies)

Education:

• 3 year degree in Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering or related field.
• Postgraduate/Master’s degree in Machine Learning, Artificial Intelligence, or a relevant discipline (Advantageous)
• Certifications in BI tools (Power BI/Tableau), SQL, Python advantageous.

Experience:

• 3–5 years’ experience in data analytics, BI, or applied statistics.
• Experience working with behavioural, geospatial, network, digital or telco datasets preferred.
• Experience supporting data products, ML use cases, or client-facing analytics.
• Previous participation in agile squads an advantage

Competencies:

• Proactive, curious, solution-oriented.
• Integrity, professionalism, and accuracy.
• Collaborative and agile mindset.
• Ability to manage multiple tasks simultaneously.
• Strong understanding of statistical methods and data modelling.
• Telecom KPIs (ARPU, churn, usage behaviour) advantageous.
• Data visualisation best practices.
• Data governance and data ethics principles.

Key Deliverables:

• Insight reports and dashboards for OpCos and Group functions
• Interpretation of ML outputs for commercial and operational teams
• Sector-relevant analytical components for DataCo products
• PoV analytics packages for DataCo Consulting
• Multi-OpCo data harmonisation and insight templates
• Data quality reports and data trust checks

Skills

• Proficiency in Power BI/Tableau.
• SQL and Python for analysis.
• Strong analytical and numerical reasoning.
• High attention to detail.
• Communication and data storytelling.
• Ability to simplify complex information.

Apply Before 12/31/2025