Applications are invited from suitable and qualified candidates for MTN Analyst Jobs in Nigeria.
About MTN
MTN Group Limited, formerly M-Cell, is a South African multinational mobile telecommunications company headquartered in Johannesburg. It offers a wide range of services including voice, data, fintech, digital solutions, enterprise services, wholesale, and API services to over 289 million customers across 19 markets in Africa and Asia. MTN is notable for its expansion into fintech solutions, aiming to facilitate digital transactions and financial access. With a substantial customer base and a robust network infrastructure, including the largest fixed and mobile network in Africa, MTN stands as a significant player in the telecommunications industry, adapting to evolving market demands and shaping connectivity in its target regions.
Summary
- Company: MTN Nigeria
- Job Title: Analyst – Data Engineer. Enterprise Business NG
- Location: Victoria Island, South West Region, Nigeria
- Job Type: Full Time
- Qualification: BA/BSc/HND
- Reports To: Manager – Business Intelligence
- Division: Enterprise Business
Job Title: Analyst – Data Engineer. Enterprise Business NG
Mission:
- Build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling the advancement of the data-driven decision-making capabilities of our enterprise.
- Connect and model complex distributed data sets to build repositories, such as data warehouses, data lakes, using appropriate technologies.
- Manage data related contexts ranging across addressing small to large data sets, structured/unstructured or streaming data, extraction, transformation, curation, modelling, building data pipelines, identifying right tools, writing SQL/Java/Scala code, etc.
Description:
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Keep data secure
- Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
- Work with data and analytics experts to strive for greater functionality data systems
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
See Also:
Requirements for MTN Analyst Jobs in Nigeria
Education:
- First degree in Mathematics, Statistics, MIS, Computer Science, Engineering or other related disciplines.
- Fluent in English
Experience:
- 3-7 years’ experience which includes
- Deep knowledge in data architecture, defining data retention policies, monitoring performance and advising any necessary infrastructure changes
- Expertise in SQL & data analysis, experience with at least one programming language
- Experience developing and maintaining data warehouses in big data solutions
- Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
- Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
- Worked with BI tools such as Tableau, Power BI, Looker, Shiny
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
- Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)
- Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred)
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Deadline
15th September, 2025
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