Senior Manager Data Analytics

3 days ago

Johannesburg, Gauteng, South Africa Ovations Technologies Full time

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

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