Job Description

Senior Manager Data Analytics


12 Months Contract


Johannesburg-Hybrid

About the Role

As the Senior Manager: Data Analytics, you will drive the analytics and reporting roadmap, lead advanced modelling initiatives, and build data-driven capabilities that support growth, performance, and operational excellence across the FinTech portfolio.


This role requires a strong mix of technical expertise, strategic thinking, stakeholder engagement, and leadership.

Key Responsibilities

Analytics & Insights Leadership

Drive the analytics & reporting roadmap and balance tactical + strategic business insight needs


Develop BI content including dashboards, reports, scorecards, and analytic solutions


Perform complex analyses: machine learning, optimisation, NLP/text analytics, modelling, statistical techniques

Data Science & Modelling

Build predictive models for remittance volumes, customer behaviour, currency patterns


Implement ML techniques to enhance fraud detection and risk management


Develop advanced quantitative modules to support predictive assessments


Build and manage models for the semantic layer

Data Engineering & Visualisation

Develop automated processes for data ingestion, transformation, and visualisation


Support development of new data capabilities and architecture


Work with cloud and big data technologies (Azure, Hadoop, Spark, Hive, PIG, MapReduce)

Business & Operational Support

Analyse performance and provide data-led insights to support business strategy


Monitor compliance and support risk mitigation strategies


Support A/B testing and experimentation for process improvement


Prepare executive-level presentations for ExCo, Board, and leadership committees

Collaboration & Enablement

Engage cross-functional teams (Finance, Technology, CVM, Operations, Opcos)


Enable Opcos with analytics tools, frameworks, and insights


Participate in Agile ceremonies and sprint planning

Required Qualifications

Bachelors Degree in Business Mathematics, Statistics, Data Science, or equivalent


Masters in Business Administration (MBA) advantageous

Experience Requirements

5+ years in financial services, consulting, strategy, analytics, engineering, or related fields


5+ years in data structuring, data management, analytics, big data


12 years data science experience at specialist level within financial services or telecom


Experience working in medium to large global organisations


Experience in Agile / DevOps environments

Technical Expertise

Python (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, Keras, Seaborn, Bokeh), SAS, R or Scala


Hadoop, Spark, Hive, PIG, MapReduce


Data visualisation tools: Tableau, Power BI, D3, BO, SQL, SAS EG


Strong experience with databases: PostgreSQL, Oracle, MongoDB, MSSQL


Cloud experience: Azure

Key Skills

Strong analytical & data interpretation skills


Financial & numerical acumen


Digital mindset


Organisational agility


Ability to deal with ambiguity & complexity


Strong presentation & storytelling skills


Continuous improvement mindset