ANALYST - DATA ENGINEER, ENTERPRISE BUSINESS AT MTN NIGERIA

About Company:

MTN Nigeria - The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.

We are recruiting to fill the position below:

Job Description:

• 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.

Requirements:

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

Salary

Application Closing Date: 15th September, 2025

Application Instructions:

CLICK ON THE LINK BELOW TO APPLY