Make the extreme value out of data by proactively gathering information from various sources for analysis for a better understanding about the business performance and exploit new threats and revenue stream opportunities. Build AI tools that automate vital processes within M-Pesa.
Key accountabilities and decision ownership:
Perform automated market analyses to dynamically raise business advises to changing market conditions;
Discover new predictive insights in our dataset and design systems that regularly compute new predictive models;
Read and conduct research to develop mathematical solutions to our most pressing problems;
Support M-Pesa Systems data streams and integrity;
Support M-Pesa Systems service automatic reconciliation;
Support M-Pesa Business units reporting demands;
Support M-Pesa Business, Products and Services quality assurance;
Support M-Pesa Business growth through BIG DATA Initiatives;
Support M-Pesa Strategy.
Key performance indicators :
Speed In data analytics;
Precision in data analytics;
Permanent Data Integrity;
Proactive Big DATA analytics (advisory),
Acting the Vodacom way and Ethics.
Core competencies, knowledge and experience:
Microsoft Suit (Access, Excel, PPT, Visual Basic, Projects, Visio);
GSM and e-commerce knowledge is desirable;
IT Infrastructure and IP Networking experience;
Fluent in English and Portuguese;
Strong analytical skills are required;
SQL, Business Intelligence, PowerBI, Business Objects, OracleBI, Qliksense;
Prior experience with machine learning algorithms and their implementations;
Experience with manipulating large data sets;
Proven ability at architecting scalable, high-performance systems.
Must have technical / professional qualifications:
Bachelor’s degree in statistics, applied mathematics, IT or related discipline;
5+ years’ experience in data science;
Proficiency with data mining, mathematics, and statistical analysis;
Advanced pattern recognition and predictive modelling experience;
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS);
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects;