Senior Specialist: Customer Intelligence at Vodafone Global Enterprise

Role purpose:

• Manage and deliver customer life cycle programs and activities in order to maximize the customer lifetime value of the enterprise customers (revenue / margin).
• Develop and manage bundle engagement programme using triggers and behavioural analytics
• Plan, design and execute direct marketing campaigns
• Research and develop methods for measuring and analysing direct marketing campaign impact on customer behaviour as well as revenue (e.g. Design of Experiment)
• Research and implement new methods for optimizing targeting, campaign impact and incremental revenue lift.
• Perform complex analysis on customer characteristics and behaviour to identify opportunities and inform customer value management activities
• Perform diagnostic analysis to understand root causes to revenue dilution or change in behaviour.
• Recommend CVM activities to drive sales and increase revenue.

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.

The ideal candidate for this role will have:
Technical / professional qualifications:

• Must have technical / professional qualifications:
• Matric/Grade 12 (Essential)
• 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 and business analysis 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.
• Project Management
• Planning and organising skills
• Process and project management skills
• Excellent organisational skills
• Experienced in presenting and communicating findings and recommendations clearly and succinctly.

Closing date for Applications: 18 May 2023