Senior Data Analyst job at MTN-Uganda

Job Title: Senior Data Analyst

Reporting to: Head Business Intelligence & Analytics

Division – Business Intelligence

Mission/ Core purpose of the Job

To develop and maintain reusable advanced data analytics, automated reporting and product performance monitoring that can serve business needs of the organization.

To facilitate getting data from a variety of different sources, it in the right formats, maintaining data quality standards, and assuring that downstream users can get that data quickly

Responsibilities or duties

Main Job Functions:

• Development data driven pricing mechanisms.
• Support in budget planning and execution
• Design and implementation of modern Data APIs for internal and external data access
• Developing automated reporting and dynamic dashboards
• Perform advanced analytics and data modelling
• Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
• Implement advanced ETL and analytics use-case development/ deployment like end-to-end machine learning models
• Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company through BI teams
• Prepare long-term evolution plans for data analytics projects developed in-house
• Innovate and advance on existing data infrastructure as business use cases continue to emerge
• Design and implementation of modern Data APIs for internal and external data access
• Development of Advanced analytics and Machine Learning models
• Developing data-marts used for building reporting automation and development of dashboards
• Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.

Qualifications or requirements (e.g., education, skills)

Education:

First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent

Master’s Degree in a relevant discipline will be an added advantage.

Experience needed

Experience:

3-5 years of work experience in Advanced analytics, Software Development and Data Science related projects in a large organization.

Worked across diverse cultures and geographies advantageous

Detailed working experience of data governance and standards

Competencies:

Training:

• Data Science, Artificial Intelligence, Data Engineering, Machine Learning and Data Analysis
• Computer Science, Software Engineering and Applied Mathematics
• Systems design and testing
• Big Data technologies
• Data Warehousing
• Analytical Thinking
• Business Process Design and Reengineering
• Decision Making
• Information Management
• Prioritization
• Problem Solving
• Project Planning and Control
• Reporting
• Software Development and management
• Strategic Thinking
• System Analysis
• System Design and Integration
• Telecommunications Technology Fundamentals

Functional Competencies

Behavioral Qualities

• Self-motivated
• Decisive
• Independent but a team player
• Customer oriented.
• Alert to environment changes and trends.
• Good attitude and adaptable.
• Must have attention to details

Leadership Competencies

• Results orientation
• Committed to making a difference
• Credibility
• Building collaborative relationships
• Engaged management
• Developing & empowering
• Influencing, Leadership, Power
• Sound judgment
• Strategic planning
• Risk-taking, Innovation
• Global awareness

• Development data driven pricing mechanisms.
• Support in budget planning and execution
• Design and implementation of modern Data APIs for internal and external data access
• Developing automated reporting and dynamic dashboards
• Perform advanced analytics and data modelling
• Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
• Implement advanced ETL and analytics use-case development/ deployment like end-to-end machine learning models
• Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company through BI teams
• Prepare long-term evolution plans for data analytics projects developed in-house
• Innovate and advance on existing data infrastructure as business use cases continue to emerge
• Design and implementation of modern Data APIs for internal and external data access
• Development of Advanced analytics and Machine Learning models
• Developing data-marts used for building reporting automation and development of dashboards
• Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.

• Data Science
• Artificial Intelligence
• Data Engineering
• Machine Learning
• Data Analysis
• Computer Science
• Software Engineering
• Applied Mathematics
• Systems design and testing
• Big Data technologies
• Data Warehousing
• Analytical Thinking
• Business Process Design and Reengineering
• Decision Making
• Information Management
• Prioritization
• Problem Solving
• Project Planning and Control
• Reporting
• Software Development and management
• Strategic Thinking
• System Analysis
• System Design and Integration
• Telecommunications Technology Fundamentals

• First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent
• Master’s Degree in a relevant discipline will be an added advantage.
• 3-5 years of work experience in Advanced analytics, Software Development and Data Science related projects in a large organization.
• Worked across diverse cultures and geographies advantageous
• Detailed working experience of data governance and standards