593 Analysts jobs in Johannesburg

The Organization

The MultiChoice Group is a multinational media and entertainment group headquartered in South Africa, Dubai and the Netherlands with principal operations in pay television, video entertainment, advertising and content security. Brands within the Group include DStv, GOtv, SuperSport, M-Net, DStv Media Sales, Showmax and European-based content security leader Irdeto. We're proud to say we serve 20 million subscribers across more than 50 African markets, with a successful history of identifying and adapting to industry trends, allowing us to continuously deliver the best in entertainment. By joining our passionate and creative team, you can help us achieve our objectives of expanding our pay-TV and SVOD (Subscription Video On demand) subscriber bases, improving advertising sales, spearheading cutting-edge technology, supporting local content and providing an exceptional customer experience.

Join Africa's most loved storyteller

About the Role

Help the businesses to implement solutions in a cost-effective way by determining the requirements of a project or program, and communicating them clearly to stakeholders, facilitators and partners. Analyze by studying the needs, its business model, its workflows, and its technological systems. Making recommendations to Management that will improve business efficiency. Document requirements and solutions against best practices and frameworks.

Responsibilities

• Develop Business and Process COE
• Build business and process analysis frameworks/practices within MAH
• Establish COE for MAH
• Assist in the development and implementation of a repository
• Provide and incorporate methodology to keep business rules updated at all times
• Implement governance framework
• Implement advanced strategies for gathering, reviewing and analyzing data requirements
• Develop business concepts, capabilities and organizational structures as informed by business strategy – Identify and develop business processes and requirements
• Highlight business rules, data and concepts.
• Provide operational thinking that enables the group to focus on the big picture
• Implement management and control systems and frameworks to ensure alignment between business capabilities and strategic goals
• Conduct Business and Process analysis
• Assess business holistically and develop the business architecture
• Develop and validate both current-state and future-state maps with cross-functional teams and/or customers
• Distill large amounts of complex requirements and data from disparate sources, condense, simplify and clearly articulate the information for the purpose of problem solving
• Assist in defining a set of KPIs that allow management to measure performance of the business as a whole
• Document business requirements
• Document business processes
• Always challenge the status quo to obtain best outcomes
• Eliciting requirements
• Translating and simplifying requirements
• Requirements management and communication
• Prioritize requirements and create conceptual prototypes and mock-ups
• Apply best practices for effective communication and problem-solving
• Researching possible software solutions to increase work efficiency
• Develop business data
• Assist in defining business data architecture
• Assist in continuously refining data architecture
• Clearly map data flows (current and future)
• Build Capability for Business and Process Analysis
• Provide the bridging between business strategy, enterprise architecture
• Business processes (implemented through systems, people and their individual job functions)
• Teach internal teams and countries on frameworks and capabilities
• Provide services to internal teams and country / regional MAH businesses

Qualifications

• BCom Degree or equivalent qualification
• Business and process analysis certification
• Customer Experience knowledge and experience

Required Skills

• Relationship building
• Deadline Driven
• Strong Coordination Skill
• Strong Written skills
• Conflict Management
• Strong Analytical Skill (including use of MS Excel for data analysis)
• Presentation skills (including development of MS PowerPoint documents)
• Report writing- audience Snr Management & Exco

Preferred Skills

• Minimum of 5 years' experience in Business and Process Analysis
• Experience with working with African markets would be an advantage
• MultiChoice Product / Service knowledge an advantage
• Excellent understanding of business and process design principles and methodologies and proven track record
• Good overall experience in all areas of the MAH Business would be an advantage

Overview

The Organization

The MultiChoice Group is a multinational media and entertainment group headquartered in South Africa, Dubai and the Netherlands with principal operations in pay television, video entertainment, advertising and content security. Brands within the Group include DStv, GOtv, SuperSport, M-Net, DStv Media Sales, Showmax and European-based content security leader Irdeto. We’re proud to say we serve 20 million subscribers across more than 50 African markets, with a successful history of identifying and adapting to industry trends, allowing us to continuously deliver the best in entertainment. By joining our passionate and creative team, you can help us achieve our objectives of expanding our pay-TV and SVOD (Subscription Video On demand) subscriber bases, improving advertising sales, spearheading cutting-edge technology, supporting local content and providing an exceptional customer experience.

Join Africa’s most loved storyteller!

Help the businesses to implement solutions in a cost-effective way by determining the requirements of a project or program, and communicating them clearly to stakeholders, facilitators and partners. Analyze by studying the needs, its business model, its workflows, and its technological systems. Making recommendations to Management that will improve business efficiency. Document requirements and solutions against best practices and frameworks.

• Develop Business and Process COE
• Build business and process analysis frameworks/practices within MAH
• Establish COE for MAH
• Assist in the development and implementation of a repository
• Provide and incorporate methodology to keep business rules updated at all times
• Implement governance framework
• Implement advanced strategies for gathering, reviewing and analyzing data requirements
• Develop business concepts, capabilities and organizational structures as informed by business strategy – Identify and develop business processes and requirements
• Highlight business rules, data and concepts.
• Provide operational thinking that enables the group to focus on the big picture
• Implement management and control systems and frameworks to ensure alignment between business capabilities and strategic goals
• Conduct Business and Process analysis
• Assess business holistically and develop the business architecture
• Develop and validate both current-state and future-state maps with cross-functional teams and/or customers
• Distill large amounts of complex requirements and data from disparate sources, condense, simplify and clearly articulate the information for the purpose of problem solving
• Assist in defining a set of KPIs that allow management to measure performance of the business as a whole
• Document business requirements
• Document business processes
• Always challenge the status quo to obtain best outcomes
• Eliciting requirements
• Translating and simplifying requirements
• Requirements management and communication
• Prioritize requirements and create conceptual prototypes and mock-ups
• Apply best practices for effective communication and problem-solving
• Researching possible software solutions to increase work efficiency
• Develop business data
• Assist in defining business data architecture
• Assist in continuously refining data architecture
• Clearly map data flows (current and future)
• Build Capability for Business and Process Analysis
• Provide the bridging between business strategy, enterprise architecture
• Business processes (implemented through systems, people and their individual job functions)
• Teach internal teams and countries on frameworks and capabilities
• Provide services to internal teams and country / regional MAH businesses

• BCom Degree or equivalent qualification
• Business and process analysis certification
• Customer Experience knowledge and experience

• Relationship building
• Deadline Driven
• Strong Coordination Skill
• Strong Written skills
• Conflict Management
• Strong Analytical Skill (including use of MS Excel for data analysis)
• Presentation skills (including development of MS PowerPoint documents)
• Report writing- audience Snr Management & Exco

• Minimum of 5 years’ experience in Business and Process Analysis
• Experience with working with African markets would be an advantage
• MultiChoice Product / Service knowledge an advantage
• Excellent understanding of business and process design principles and methodologies and proven track record
• Good overall experience in all areas of the MAH Business would be an advantage

THE WORK : Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together!

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Generative Design
• Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:

• Expert proficiency in Data Science.
• Advanced proficiency in Data Analytics.
• A minimum of 1 year of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Generative Design
• Advanced proficiency in Machine Learning

THE WORK
: Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

Advanced proficiency in Generative Design

Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:
Expert proficiency in Data Science.

Advanced proficiency in Data Analytics.

A minimum of 1 year of experience in relevant related skills.

Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:
Advanced proficiency in Generative Design

Advanced proficiency in Machine Learning

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About the Role

Our client is looking for a hands-on Data Science & Enablement Lead to execute the organisation’s data vision and priorities. This role focuses on operationalising Master Data Management (MDM), data governance, data quality, architecture, and enabling AI, advanced analytics, and data science. You will ensure that enterprise data is accurate, governed, and integrated to support business operations, compliance, and innovation. This includes collaborating across Architecture, Operations, Risk, Governance, and IT to build a scalable, science-ready data ecosystem, integrating data from systems such as Oracle E-Business Suite.

1. Enterprise Data Execution
   • Execute enterprise data strategy aligned with transformation, compliance, and AI/data science goals.
   • Champion data standards, governance processes, and quality metrics across functions.
   • Lead governance forums and implement policies, standards, and procedures.
   • Develop and maintain an enterprise data platform using Microsoft Azure, Microsoft Fabric, or similar.
   • Enable business teams with structured, accessible, and trusted datasets.
2. Master Data Management (MDM)
   • Implement MDM framework across master data domains (items, customers, suppliers, etc.).
   • Harmonize master data for consistency across systems and support analytics/AI.
   • Monitor and improve data quality in terms of completeness, accuracy, and timeliness.
3. Data Integration & Platform Development
   • Design and operate a central data lake according to best practices.
   • Lead data integration from systems, including Oracle E-Business Suite and others.
   • Design and implement secure data access controls using Active Directory groups, ensuring authorised data access.
   • Ensure data is accessible, secure, classified, and ready for AI, analytics, and data science.
4. Governance, Stewardship & Quality
   • Implement data ownership, stewardship, and accountability models.
   • Support stakeholders in compliance with governance controls.
   • Monitor data quality metrics and address issues within SLAs.
   • Ensure data meets ethical standards and is suitable for automated and algorithmic use.
5. Cross-Functional Delivery
   • Collaborate with Operations, Supply Chain, and Data Science teams to deliver integrated, reliable data.
   • Work with Risk & Governance teams to maintain compliance, audit, and AI-risk policies.
   • Enable analytics and data science by supporting structured, interoperable data pipelines.

• Secure & Scalable Data Lake: Implement and maintain a centralized repository for business-critical data with AD/role-based access.
• Integrated Data Pipelines: Implement reliable and secure pipelines from Oracle and other platforms.
• MDM Framework: Deploy MDM for critical entities (customers, products, vendors) to ensure data accuracy and consistency.
• AI/ML Enablement: Support the design and deployment of ML models for predictive analytics, anomaly detection, segmentation.
• Data Access Architecture: Implement security frameworks based on Active Directory and role-based security.
• AI Infrastructure & Insights: Build infrastructure for model deployment, performance monitoring, and automated reporting.
• Team Collaboration: Lead efforts with business units to discover AI/data opportunities and refine models.

Essential

• 8–10+ years in data management, including MDM, governance, integration, and quality initiatives.
• Experience in the full development lifecycle of a Data Lake in a mid to large enterprise.
• Expertise in Oracle E-Business Suite and integrating data from multiple systems.
• Deep knowledge of MDM best practices and AI/ML model building.
• Experience with Microsoft Azure, Microsoft Fabric, or similar platforms.
• Strong project management skills for complex data initiatives.
• Proficiency in Python, SQL, Spark, cloud ETL, and orchestration tools.
• Experience in designing secure AD/role-based access control systems.
• Experience with streaming data integration tools like Apache Kafka or Azure Event Hubs.

Desirable

• Familiarity with data governance frameworks (e.g., DAMA, DCAM).
• Experience with data cataloging/metadata tools.
• Experience in regulated industries such as finance, healthcare, or manufacturing.
• Background in FMCG, manufacturing, retail, or other data-intensive sectors.

• Bachelor's degree in IT, Computer Science, Data Science, or a related field.
• Postgraduate qualifications in data, analytics, or BI are advantageous.

• Skilled in Azure Data Factory, Synapse, Purview, Microsoft Fabric, etc.
• Familiar with Oracle EBS data structures and integration approaches.
• Hands-on experience with MDM tools, ETL platforms, and governance frameworks.
• Strong knowledge of AI/data science needs: labeling, versioning, ethics.
• Proficient in operationalizing analytics pipelines for BI, AI, and ML.
• Experienced with AD-based security and role-based access control.
• Skilled in real-time data streaming solutions (e.g., Kafka, Event Hubs).

• Strategic thinking and end-to-end solution ownership.
• Strong analytical and problem-solving capability.
• Excellent communication and stakeholder engagement skills.
• Leadership and mentorship abilities.
• Results-driven with a strong focus on quality and delivery.

Who are we?
We made Miway to change the way insurance works, to make it work your way, protecting what matters to you and making life a whole lot easier.

Why Miway?We know what it's like to be in an early morning accident on the way to work, to watch helplessly as water floods your business premises, or have your most precious possessions stolen, to lose a truckload of costly stock, or be stranded a long way from home.

So, we created products that put you first, that help you get back on your feet, that make a difference when you're down and dealing with a loss. That's insurance the way it should be. Insurance your way.

That's Miway.You may want to be part of that. Insurance the way it should be. Built around you.It's about you - not about us.

Why Join Us?
This is a rare opportunity to lead at the frontier of actuarial innovation - where data science, machine learning, and software engineering create real-world impact. As Data Science Manager: Telemetry Solutions, you'll help shape the future of insurance.

• Lead actuarial and data science initiatives across telematics, claims, and operational intelligence.
• Work with rich, real-time datasets from connected vehicles and IoT platforms to unlock insights and build predictive systems.
• Collaborate with cross-functional teams - including product, development, and claims - to integrate analytics into key decision-making processes.
• Apply and grow your technical skills across AI, machine learning, and production-grade systems in a dynamic environment.
• Join a forward-looking team that values innovation, ownership, and continuous learning.

If you're technically strong, strategically curious, and passionate about using data science to tackle bold, modern challenges - this is your opportunity to lead the change.

What will you do?
The Data Science Manager: Telemetry Solutions is a future-focused leadership role that bridges actuarial science, data science, machine learning, and engineering. You will lead a multidisciplinary team that leverages telematics and alternative data to deliver intelligent solutions across usage-based insurance (UBI), claims innovation, product development, and dynamic risk assessment.

This role offers a unique opportunity to operate at the intersection of data, strategy, and technology - driving meaningful transformation in how insurance products are developed, risks are understood, and operations are optimised.

Key Responsibilities

• Architect and deploy scalable, real-time systems for ingesting, processing, and analysing high-frequency vehicle sensor and telemetry data.
• Develop and maintain robust APIs and automation tools in Python and C# to support internal platforms and customer-facing applications.
• Oversee the creation and deployment of AI models - including computer vision and large language models (LLMs) - to enhance claims automation and document intelligence.
• Champion innovation within the actuarial domain by blending traditional methodologies with modern MLOps, software engineering, and streaming analytics.
• Manage end-to-end machine learning pipelines using tools like MLflow, ensuring reproducibility, governance, and performance monitoring.
• Collaborate closely with Product, IT, Data Engineering, and Claims teams to embed intelligent analytics into core business processes and customer experiences.
• Mentor and grow a high-performing team of data scientists, and software engineers.
• Provide technical insight and data-driven narratives to support strategic decision-making through dashboards, models, and actuarial reporting.

Qualifications

• Degree in Actuarial Science, Data Science, Statistics, Computer Science, or a related field (Honours or Master's preferred).

Experience

• Minimum of 5 years' experience in data science, or data engineering roles, preferably in a telematics-driven insurance environment.
• Proficient in Python and C#, with a solid foundation in object-oriented programming and API development.
• Advanced SQL skills, including data processing, database management, and query optimisation (Essential).
• Practical experience using Git for version control and collaboration(Essential).
• Hands-on experience with machine learning libraries and frameworks such as XGBoost, spaCy, Hugging Face, TensorFlow, or PyTorch.
• Proven ability to deploy and monitor models using MLflow and related MLOps tools.
• Experience with large-scale datasets, ideally from IoT or telematics sources.
• Working knowledge of Docker for containerisation (Intermediate to Advanced – Advantageous).
• Exposure to messaging systems such as RabbitMQ (Advantageous).
• Strong understanding of software engineering principles, including object-oriented design and clean code practices.
• Solid business acumen with the ability to translate technical work into strategic outcomes.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Demonstrated leadership experience and a passion for mentoring cross- functional teams.
• Strong analytical and problem-solving skills, with the ability to extract insights from high-volume, high-dimensional data

Knowledge And Skills
Actuarial Problem Solving

Issues management

Business knowledge

Business analysis

Personal Attributes
Self-development - Contributing independently

Interpersonal savvy - Contributing independently

Nimble learning - Contributing independently

Tech savvy - Contributing independently

Core Competencies
Cultivates innovation - Contributing independently

Customer focus - Contributing independently

Drives results - Contributing independently

Collaborates - Contributing independently

Being resilient - Contributing independently

Build a successful career with us
We're all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.

Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

Deadline to apply: 19 September 2025.
Our commitment to transformation
At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.

• Define and implement the AI strategy aligned with the bank's objectives.
• Manage and mentor a team of data scientists, ensuring high-quality AI/ML model development.
• Oversee the development and deployment of AI/ML solutions for business problems.
• Collaborate with stakeholders to identify opportunities for AI-driven innovation.
• Monitor AI/ML model performance and ensure alignment with ethical and compliance standards.
• Promote data-driven decision-making across the organization.

• Bachelors or Masters degree in Data Science, Machine Learning, Computer Science, or related field.
• 5+ years of experience in AI/ML model development and deployment.
• Strong leadership and team management skills.
• Proficiency in Python, R, and relevant ML frameworks.
• Experience with cloud-based AI solutions (AWS, Azure, or GCP).