Customer Intelligence & Performance at Vodafone Global Enterprise

Your responsibilities will include

• The candidate is expected to own and deliver direct marketing campaigns across entire customer lifecycle, and this involves
• Develop and maintain and recommend bundle upsell offers
• Select and prioritize leads for different direct campaigns
• Measure effectiveness of direct marketing campaigns using accepted and well researched standards
• Source and process customer feedback from outbound campaigns to inform lead selection and dialling strategies
• Interface with advanced analytics team to ensure seamless handover of model output for campaigns
• Dissect campaign results to understand underlying behavioural patterns and to develop insights
• Developing compelling business cases to support CVM activities
• Set up trigger based campaigns and manage scheduling thereof
• In addition, the candidate is expected to source data from different systems, analyse it and provide insights and recommendations to improve business performance.

Typical Outputs

• Data driven insights that inform sales and revenue uplift initiatives
• Personalized next best action/recommendations.
• Prioritized campaign lead lists
• Regular communication of performance/insights delivery
• Diagnostic analysis
• Customised dashboards for actionable insights
• Fully automated ETL processes
• Data visualisation using dashboarding tools like QlikSense and Power BI

Technical / Professional Qualifications:

•  Matric/Grade 12 (Essential)

Must have technical / professional qualifications:

• A 3 year Degree/Diploma in Commerce, Data Science or Quantitative Management/Statistics or any related field
• A minimum of 5 to 8 years data analysis, marketing analytics and/or data engineering experience is essential

Core competencies, knowledge, and experience:

• Knowledge on SQL-based databases (e.g. SQL Server, Teradata, Oracle) – Essential
• Database experience (data extraction, transformation & manipulation). – Essential
• An understanding of Python will be an added advantage
• Strong data analytics skills including; data storage, manipulation, transformation and analysis. 
• Advanced knowledge of MS Office Excel and good knowledge on reporting tools i.e. QlikSense, PowerBI.
• Ability to work with multiple data sources – including both transactional and dimensional star schemas & some experience in data model development
• Some exposure to data model development and reporting experience – automating repetitive data reporting tasks
• Excellent communication and conflict management skills.
• Storytelling using data
• Planning and organising skills
• Process and project management skills
• Excellent organisational skills 
• Experienced in presenting and communicating findings and recommendations clearly and succinctly.