Senior Data Analyst

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Hiring Remotely in Uganda
Remote
Big Data • Other • Financial Services
The Role

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

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

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:

  • 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 

  • Planning and Budgeting

 

NB: Presentation of false academic documents and certification will lead to criminal prosecution. Any form of canvassing will lead to automatic disqualification. Should you not hear from us within fourteen (14) days from the closing date of this advertisement, you may consider your application to be unsuccessful.

Female candidates are strongly encouraged to apply.

MTN Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MTN Group and has not been reviewed or approved by MTN Group.

  • Parental & Family Support Parental leave is positioned as notably generous in some markets, including widely cited six-month paid maternity leave and short paternity leave. Family-friendly support is also described through options like workplace childcare, adoption/surrogacy support, and related leave provisions in certain operating companies.
  • Strong & Reliable Incentives Variable pay elements are described as a meaningful part of the package, including annual performance bonuses, sales commissions, and structured short-term incentives tied to performance outcomes. Longer-term incentive participation is also described for eligible grades through share-based or share-linked plans.
  • Wellbeing & Lifestyle Benefits Wellbeing support is presented as visible and multi-dimensional, including mental, physical, and financial wellness programs and access to emergency assistance services for medical, security, and travel events. Lifestyle and telecom-specific perks are also described, such as connectivity allowances and flexible lifestyle benefit funds used for items like gym, travel, or school-related expenses in some locations.

MTN Group Insights

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The Company
42,119 Employees

What We Do

Delivering voice, data, mobile financial services and digital products across 16 markets in Africa. For more info, visit: www.mtn.com

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