Analyze your CV for Big Data and Special Projects Manager at Vodacom Tanzania

Role purpose: 

Co-creating Advanced Machine Learning products that drive revenue, reduce cost and improve CX.
Developing big data monetization propositions and manage their end-to-end (E2E) execution.
Delivering actionable insights to support and contribute toward the delivery of CVM objectives and targets.
Contributing to the wider community to enable an Advanced Machine Learning capability across Vodafone globally

Key accountabilities and decision ownership 

Identify, Analyse and Interpret trends or patterns in complex data sets. 
Support the extraction of data (ETL) from multiple sources.
Manage E2E go to market execution for big data and special projects propositions. 
Communicate analytics and ML model results to business users.
Development of machine learning models for various areas of the business on the Big Data Platform.

Key performance indicators:

Number of Initiatives powered by ML
Timely delivery of the Big data and ML plans as specified on the roadmap
Revenue uplift and customer conversion rates
Quality of support and stakeholder alignment

Core competencies, knowledge, and experience 

Excellent analytical, logical and casual reasoning skills.
Excellent communication skills
Strong stakeholder management skills
Ability to anticipate customer, competitor, and market dynamics 
Able to challenge the status quo

Must have technical/professional qualifications: 

4+ years of experience in similar big data and data science role.
Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering, Artificial Intelligence, Data Journalism, or related fields
Significant knowledge of customer-driven marketing techniques and processes
Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design.
Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL) 
Project knowledge and experience would be advantageous.





Skills



Modern Marketing Leadership
Data Analytics and Insights
Understanding Customers and Developing Insight