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Lead - Data Product

Full-time Nigeria, NG
Posted 1 hour, 33 minutes ago 15 views 0 applications

Job Description

Why Airtel Africa?

At Airtel Africa, we act with passion, energy, and a can-do attitude. Innovation with an entrepreneurial spirit drive us. If you like “ordinary”, then we are not for you.

We champion diversity. We anticipate, adapt, and deliver solutions that enrich the lives of communities we serve. we roll up our sleeves to win with our customers.

By choosing Airtel, you choose to be part of a winning team. All this in addition to a brilliant opportunity to build a career in your field of expertise, across our different operating companies in Africa.

About the Role

The role is key to ensuring Airtel’s data subscriber and revenue growth in Nigeria outpaces competitors, driving strategic initiatives in data services while overseeing analytics, performance tracking, and reporting for data products. It also ensures proper documentation, training, and high customer satisfaction across all data-related services.

This position requires strong knowledge of consumer behavior, social and technology trends, and OTT services, alongside expertise in revenue generation, project management, and solution design. By combining these insights, the role identifies and delivers new business opportunities aligned with market and customer needs.

Educational Qualifications

  • Bachelor’s degree in relevant field.
  • MBA (completed or in view)

Relevant Experience & Functional / Technical Skills Critical to the Role

  • Minimum of 8 years experience in a marketing position, with a focus on product development.
  • Strong analytical and strategic skills
  • Strong knowledge of structured Query Language(SQL) and PowerBI.
  • Excellent planning and organisational skills
  • Excellent interpersonal skills
  • Sets high personal standards and is goal oriented
  • Excellent communications skills, both orally and in writing
  • Excellent presentation skills
  • Technology savvy
  • Experience of Telecommunications Industry or FMCG marketing environment
  • Able to operate in a performance driven organization
  • Affinity with and technical knowledge of the latest technologies and services used within the industry and affiliated industries
  • Excellent Data analysis and Excel skills

Data Revenue, Usage and Retention

  • Utilize data insights and market research to understand consumer behavior and preferences, and inform future programs and promotions
  • Monitor usage patterns to develop and implement effective growth strategies
  • Track the customer lifecycle and capabilities to drive ARPU growth

Customer Analysis

  • Conduct analysis of customer behavior
  • Analyze usage patterns, including both individual and aggregate consumption
  • Monitor and track the relationship between paid data and bonus data usage
  • Map customers to defined data segment profiles and categories

Reporting

  • Provide daily, weekly and monthly Campaign Performance reports and management report
  • Adhoc analysis on data products
  • Monitor KPIs of the Data Segment and analyze data to generate new ideas on product modification

Product Development and Support

  • Drive the launch of data products across all customer segments to increase penetration and boost revenue growth
  • Develop and implement new trade-focused products and initiatives, leveraging benchmarking and best practice sharing across zones
  • Manage the end-to-end technical development of products
  • Serve as the functional subject matter expert throughout the product lifecycle, from ideation to launch and ongoing performance tracking
  • Create documentation and deliver training to support teams

Special Product/Promo Management

  • Successfully execute promotional campaigns to achieve desired outcomes
  • Manage the end-to-end delivery of special products in collaboration with multiple stakeholders

Business Analysis

  • Analyze the relationship between data usage, customer retention, and marketing campaigns
  • Identify key drivers influencing usage patterns and inactivity trends among data customers
  • Conduct environmental scanning to assess and report how external factors impact data usage trends
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