Fresh Jobs at MTN Nigeria – Apply Now

Mission:

• Apply strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.
• Collaborate with translators to define technical problem statements and hypotheses to test; develop efficient and accurate analytical models that mimic business decisions.
• Build high-quality data pipelines that drive analytic solutions.

Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.
• Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.
• Collaborate with translators and understand business problems to implement scalable and sustainable solutions.
• Coordinate with MIS, digital specialists, and data engineers to deliver holistic analytical solutions.
• Support translators in communicating the design, functioning, and output of the analytical models and solutions developed.
• Utilize specified statistical software to analyze and interpret research data, as appropriate to the individual position.
• Ensure timely analysis and testing for regular maintenance of solutions over time.

Education:

• First degree in mathematics, statistics, computer science, engineering, or other related disciplines.
• Certification in machine learning, data engineering, data science, or related fields will be an added advantage.
• Fluent in English

Experience:

3–7 years’ experience, with experience working with others.

• 1–3 years’ experience in a statistical and/or data science/business intelligence role
• Understanding of big data technologies.
• Experience with programming is required, including R, Python, SQL, and PySpark.
• Experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.) is a plus.
• Solid understanding of predictive analysis: predictive modeling, machine learning, and data mining
• Experience in aggregating and transforming data, exploring and manipulating data, creating training and inference pipelines, and building and validating models
• Experience working with basic visualization tools such as Tableau, Qlik, etc.
• Strong analytical, problem-solving, and teamwork skills
• Excellent written and verbal communication skills, along with a strong desire to work in cross-functional teams.
• Openness to working in agile environments with multiple stakeholders
• Good oral and written communication skills

go to method of application »

Mission:

To manage and develop trade infrastructure and the channels of distribution especially retailers to ensure MTN dominance at retail in the assigned territory.

Description:

• Confirm  that  sub dealers and dealer branches are contacted and stock receipt/movement verified. 
• Provide informal training in shops on products, services and promotions being run by marketing, channel or region and on-the-spot training/coaching of all visited outlets in territory (100% of all visited outlets in call cycle)
• Manage events and promos, generate sub-dealer promo specifications and perform post-promo evaluation
• Provide weekly/monthly sales activity report and market intelligence report to field service engineers
• Monitor and report back on network quality and other sales impacting indices in territory covered
• Ensure call cycle time of 8 – 10 visits a day per territory or as business requires
• Identify, classify and support all players in channels of distribution and ensure  weekly/monthly database update
• Ensure MTN product availability in channel is >95% at all times and provide weekly product availability report of all visited outlets during call cycles
• Direct all channel participants to MTN identified growth area within your territory
• Establish consistent channel standards including branding as per channel recommendation.
• Increase brand awareness – Signage, POS distribution and target 65% visibility in the channel of distribution (Trade marketing team will measure)
• Support all identified outlets with 100% merchandizing as appropriate and defined.
• Build relationship between lower and upper levels (i.e. authorized distributors and sub dealers), support trade partners and Sub dealers and link subs, retailers etc. to Trade Partners and help nurture the relationship
• Resolve all issues/queries with regards to activations, products and promotions

Education:

• First degree Preferably social sciences
• Fluent in English 

Experience:

• 1–3 years’ experience in an area of specialization, with experience working with others
• Experience working in a medium organization
• Sales and Marketing experience in a fast-moving consumer goods environment

go to method of application »