95 Data Analytics jobs in Sandton

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SUMMARY:

The

Recruiter:

Specd

Job Ref:

JHB /Yusuf

Date posted:

Monday, July 7, 2025

Location:

Johannesburg, South Africa

SUMMARY:

The Head: Data and Analytics is a strategic leadership role responsible for driving enterprise-wide data and analytics capabilities to support data-informed decision-making, innovation, and strategic growth. The role will oversee the development, implementation, and management of Data Governance, Business Intelligence, Advanced Analytics, Data Warehousing, and System Integration functions. The incumbent will lead a multidisciplinary team of data professionals and collaborate across departments to ensure data solutions align with business objectives and deliver measurable value.

POSITION INFO:

JOB DESCRIPTION INFORMATION:

Job Title: Head: Data and Analytics

Employment Type: Permanent

Work Model: Johannesburg

JOB CONTEXT:

Reporting directly to the Group Executive: Corporate Services, the Head: Data and Analytics will be the strategic brain behind the company’s data-driven transformation. In this dynamic role, you’ll lead the charge in shaping and managing our Advanced Analytics, Data Warehouse, Business Intelligence, Data Governance, and System Integration functions — all with the goal of unlocking the power of accurate, trusted data to drive smart decisions and bold strategies.

You’ll head up a talented squad of data scientists, analysts, and engineers — thinkers, builders, and problem-solvers — while collaborating closely with business leaders to craft data solutions that don’t just meet expectations but exceed them. Whether it’s influencing high-level strategy or streamlining stakeholder reporting, your work will ensure that data isn't just a byproduct — it’s a catalyst.

DUTIES AND RESPONSIBILITIES:

Data Warehousing, BI and Advance Analytics:

• Develop a cutting-edge, world class business intelligence and analytical function to support decision making, strategy formulation and stakeholder management
• Provide data to inform and guide businesses and act as an analytical powerhouse to be leveraged by critical internal and external stakeholders.
• Develop a group wide data strategy to determine and meet the data needs of the group.
• Use information, business intelligence and advance analytics to advise and inform business on issues impacting strategy and operations.
• Use data to monitor the implementation of performance management in accordance with the organizational strategy.
• Ensure that all system decisions and changes support the defined systems architecture
• Ensure that wherever possible, self - service reporting or pre-existing reports are utilized – thereby ensuring the number of requests for new reports or a new layout set are kept to a minimum.
• Review and approve BRD’s and changes that impact the analytics and data platforms to ensure that the requirements are met.
• Review and approve change requests that impact for RMA analytics and data platforms systems to ensure the correct solutions are implemented.
• Ensure changes to data warehouse, reporting and analytical platforms only impact those platforms as anticipated and planned for.
• Assist the business in the automation and optimization of processes and systems using automated BI reporting and predictive analytics.
  
  

• Defined architecture.
• Business reporting requirements met.
• Management information dashboards developed.
• Defined architecture.
• Business reporting requirements met.
• Management information dashboards developed.
• Management information dashboards updated timeously.
• Datawarehouse analytics services in synch with application systems enhancements data structure.
  
  

• Oversee the administration and management of all enterprise data.
• Establish and maintain policies to manage enterprise data to ensure compliance, security and confidentiality of data (i.e. Enterprise Data Governance Policy).
  
  

• Policies approved by EXCO.
• Compliance with policies.
• Enterprise data dictionaries defined and managed.
  
  

• Ensure that the appropriate generation, use, retention and disposal of data and information is consistent with RMA policies.
• Coordinate appropriate procedures that satisfy specified information security requirements, including legal and statutory compliance obligations with the Financial Services Board, Promotion of Access to Information Act (PAIA), Protection of Personal Information Act (POPIA) and Electronic Communications and Transactions Act (ECTA).
• Ensure correct record keeping for each data element policy, data source, data provenance, data element business name, and data element definition.
• Coordinate activities with internal/external technology owners/service providers for the purposes of managing certificates, service upgrades, analysing impact and accountability for the continuous availability of required services.
  
  

• Information security procedures approved.
• Data elements documented.
  
  

• Manage the planning and coordinating of data integration projects from design to production implementation.
• Manage the technical aspect of API and ESB development/architecture.
• Manage and maintain mission critical services and batch integrations and develop new services.
• Collaborate with all stakeholders to successfully implement the Integration Strategy to enable digital transformation.
  
  

• Implemented structured data integration between RMA systems and third-party data providers.
• Documented and implemented functional API and ESB.
  
  

• Use appropriate templates and channels to report on progress on a weekly and monthly basis.
• Adhere to deadlines and ensure accuracy and quality.
  
  

• Deadlines met Quality of deliverables Accuracy of information.
  
  

• Identify talent within the team and develop employees through effective staff management and assist them in meeting their training requirements and achieving their career aspirations.
• Assist in identifying and recruiting new staff members.
• Ensure that financial resources are used efficiently and effectively.
  
  

• Thorough understanding of database management systems.
• Thorough understanding of data warehousing, advance analytics, data lakes, business intelligence and data reporting services and systems.
• Experience in complex system integration.
• Knowledge and understanding of business strategy formulation.
• Insurance or Financial Services experience.
• Knowledge of business policies, processes and procedures, legal compliance.
  
  

• Minimum 6 years managerial experience.
• At least 5 years of experience in strategic analysis and business insights.
• Experience implementing data governance.
• Experience in Data, BI, Advanced Analytics and Data warehousing.
• Experience in system integration services.
• NQF Level 8: Honours degree in Maths, Statistics, Computer Science or IT.
• Business Management Degree (e.g. MBA) preferred.
  
  

• Compensation will be determined based on qualifications, applicable experience, and previous earnings.
  
  
  
  

• Seniority level Executive

• Employment type Full-time

• Job function Business Development and Sales
• Industries Advertising Services

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

As a Data Analytics Specialist, you will be at the forefront of employing leading analytical methods and technologies, ensuring that you're always working with cutting-edge tools and approaches to solve complex problems.

The purpose of the position is:

• To contribute excitedly and passionately to our client's data-driven culture, helping the business to generate meaningful value from data.
• To partner with internal teams and external clients to deeply understand their needs, and help to guide, design and build robust, innovative, analytical solutions.
• Central to the role is ensuring that all initiatives in the portfolio have measurable business value and are prioritised accordingly.

Role Description

• Engage with internal business clients with business questions, always probing for the deeper questions and needs, to find the best possible solutions for the business.
• Play a key communication role between business and technical teams to ensure business context is retained when building analytical and data-driven solutions.
• Build a deep contextual understanding of the business and the data to design and propose new solutions that could add meaningful business value.
• Work closely with the data provisioning team to ensure they can provide the reliable, consistent, and context-rich data assets that the team requires for data use cases.
• Create algorithms and build machine learning models to enhance product offerings and solve business problems.
• Create monitoring and anomaly detection systems to track model performance.
• Presentation of data science opportunities and model outcomes to a variety of stakeholders with a varied understanding of data principles.
• Management of client expectations through a high-level project plan, regular interactions, and feedback.

Qualifications & Experience

• Undergraduate degree/diploma in Mathematics, Statistics, Engineering, Physics, Finance, or Economics (or similar).
• Knowledge and execution capabilities of common data structures, languages, and tools (e.g. SQL (must), Python or R (must)).
• Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP or Azure preferred).
• Understanding and interpretation of statistics and data with a foundational knowledge of regression analysis.
• An understanding (must) of Machine Learning techniques (supervised and unsupervised learning). Practical experience preferred.
• Experience working in a high-paced environment, where prioritisation is essential.
• Experience working and interacting with a variety of stakeholders including development technical, data engineers, sales and customer experience teams.
• History delivering small to large scale analytics, data science and business intelligence projects which require extensive collaboration across multiple teams.
• Minimum two years experience required. Experience in the Health Tech sector is advantageous.
• A proven track record of data mining and data pre-processing to ensure quality work delivery.
• Practical experience in BI reporting and data platforms including PowerBI (preferred), Data Studio, and intermediate Microsoft Excel (must).

Knowledge and Skills

• Strong data exploration, analytical, modeling, and reporting skills.
• Strong communication and people-engagement skills.
• Ability and desire to uncover the deep business questions and needs of clients.
• Keen attention to detail and desire to produce high-quality, value-adding analytics and MLOps solutions.
• Ability to take end-to-end ownership of initiatives, ensuring that adding business value is always the guiding light.
• An enterprising nature where one can identify problems or opportunities and take responsibility for the solution and implementation thereof.
• A strong demonstrated desire to learn, upskill and self-improve.
• Strong desire to learn new BI and data science techniques, tools and methods.

NOTE: We ONLY accept online applications. We do not consider direct applications via Whatsapp or email.

The final remuneration package offered by the employer will be determined based on market standards, considering the candidate's qualifications, skills, and level of experience. The employer retains the prerogative to provide a remuneration package that aligns with industry norms and the specific attributes of the selected candidate.

R 79000 - R 81000 - Monthly

We believe data isn’t just numbers – it’s the story of your business waiting to be told We build clever, lean, data-driven systems for humans – not just machines.

And we’re looking for a Data Analytics Engineer who gets that data is only useful when it’s accessible, understandable.

Requirements:

• Experience in the telecoms industry
• Infrastructure as code experience. (terraform and Pulumi)
• Experience working in a scale up/dynamic consulting environment
• Exposure to accounting concepts
• 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, Notebook and SQL. Proven experience working on data integration projects (ETL, data pipelines, APIs)
• Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale
• Proven ability to build and deploy Data pipelines to Cloud production environments using automated CI/CD pipelines
• Strong experience with modern analytics platforms (Databricks, Delta Lake, cloud storage); experience with relational databases and data modelling is a plus. Experience in Agile/Scrum environments
• Strong experience in working with cloud-based environment (Azure, AWS)
• Track record of translating business logic and requirements into production-grade, testable code. Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana)
• Solid grasp of data quality, data validation, and monitoring concepts
• Strong communication skills—able to present technical logic and results to both technical and non-technical audiences
• Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams

Reference Number for this position is GZ60747 which is a contract REMOTE position offering a cost to company salary of R1.4m per annum negotiable on experience and ability. Contact Garth on or call him on to discuss this and other opportunities.

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About The Role

FDM is a global business and technology consultancy seeking Data Analysts to work for our client within the finance sector. This is initially a 12-month contract with the potential to extend to a permanent position based in Johannesburg.

Make your mark in the financial world. Kick off your journey with an exciting project at one of South Africa’s leading financial institutions. Be part of a dynamic bank with a rich legacy of excellence, driving the future of banking through cutting-edge technology and customer-centric solutions.

If you're eager to grow, make an impact, and work with a forward-thinking team redefining financial services, this is the perfect place to start.

You are passionate about Data and AI innovation and technology, while closely collaborating with business stakeholders. If you are interested in a career in Data Governance, Data Analytics, or Data/AI Engineering, join our Data & Analytics Team and become a data pro in one of the most influential careers in the tech industry.

Where ambition meets opportunity

At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want.

Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially.

About You

Requirements:

• Strong analytical abilities, problem-solving skills, and experience in translating business problems into data-driven solutions, including handling large datasets, data validation, and statistical analysis
• Understanding of big data analysis and programming tools such as Apache Spark, Hadoop, AI
• An understanding of regulatory frameworks and risk management, including governance requirements
• An understanding of the financial services industry
• Proficiency in SQL
• Stakeholder management
• Bachelor’s degree grade 60% or above in any discipline
• Eligibility to work in South Africa
• English level B2 or higher

Why join us?

• Career coaching and access to upskilling throughout your entire FDM career
• Initial upskilling pre-assignment that has been accredited by TechSkills
• Assignments with global companies and opportunities to work abroad
• Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more
• Access to the Buy As You Earn share scheme

About Us

About FDM
We are a business and technology consultancy and one of the UK's leading graduate employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 4,000 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.

Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

The Global HSSE Reporting and Data Analytics Specialist is responsible for collecting, analysing, and reporting on health, safety, security, and environmental (HSSE) data with a specialised focus on greenhouse gas (GHG) accounting and adherence to the Corporate Sustainability Reporting Directive (CSRD) guidelines. This role ensures compliance with regulatory requirements, supports internal and external audits, and contributes to the organisation's sustainability goals. This position will also support initiatives and programs that are aligned with the Puma Energy Global HSSE Vision and Strategy.

• Implement strategic data analysis for the HSSE function and sustainability, focusing on collecting, analysing, and reporting health, safety, security, and environmental data with a specialised emphasis on GHG accounting and CSRD compliance.
• Generate and enhance comprehensive reports on health, safety, security, and environmental data, in line with the Global HSSE Strategy, GHG reporting standards and CSRD guidelines. Develop and maintain internal GHG Data Management Guidelines and public documentation on preparation and calculation methodologies.
• Maintain expertise in GHG accounting, global reporting standards such as CSRD, and best practices to ensure that reporting meets CSRD and GHG Reporting Standard requirements and aligns with other frameworks such as GRI, TCFD, and SASB (where applicable).
• Ensure that compliance and governance are rigorously applied across all HSSE, GHG, and sustainability data. Oversee the accurate input of environmental sustainability data for external agencies and compliance reports, ensuring adherence to regulatory requirements and supporting both internal and external audits.
• Serve as the system administrator for HSSE tools and systems that support data and information management. Capture all GHG inventory data in a central repository and manage the solution and evaluate and implement software and tools for data management and reporting (where required).
• Collaborate with Global HSSE, Regional Teams, digitisation teams, and other SMEs to define data strategies and develop real-time dashboards and reports. Support environmental sustainability data input for external agencies and compliance reports as requested and in collaboration with the Puma Energy ESG Team. Guide cross-functional teams to ensure consistent data collection and reporting. Provide support and training to operational and functional teams for data collection and analysis, where required.
• Support the development and implementation of Puma Energy’s HSSE and Sustainability Strategy and goals by providing insights and recommendations based on data analysis. Identify areas for improvement in sustainability and HSSE reporting processes. Implement best practices to enhance data management and reporting quality. Advise on evolving carbon accounting practices in alignment with Puma Energy’s sustainability strategies and plans.
• Coordinate with internal and external auditors to ensure data accuracy and reliability. Address audit findings and implement corrective actions as necessary.
• Participate in external forums to stay informed about industry advancements.

• 5 - 10 year’s practical experience in a HSSE systems, governance, assurance or operational role, with focus on reporting, analytics and GHG Emission data management, ideally within the Oil and Gas, Construction, Aviation and/or other high-risk industries;
• Experience in data management principles and practices, including data management technologies;
• Experience and expertise in rigorously and effectively examining large quantities of data to derive insights from. Prior experience in measuring leading and lagging indicators at the macro and micro level utilising quantitative and qualitative analysis;
• Understanding of the HSSE legislative frameworks across global jurisdictions;
• Comprehensive understanding of GHG Emissions Reporting Standards and Guidelines to clearly and concisely communicate requirements;
• Minimum qualification in Greenhouse Gas Emission Accounting (E.g. Greenhouse Gas Practitioner) preferred;
• Tertiary qualifications in health, safety and/or environment or equivalent discipline;
• Experience with international standards ISO 45001, ISO 45003, ISO 14001, ISO 9001, ISO14064 and ISO14067.

• Fluent English, strong written and verbal communication together with listening and presentation skills;
• Manage updates, critical dates, risks, and stakeholder communication effectively;
• Demonstrated global project management capability;
• High level of interpersonal skills, including strong teamwork, negotiating and influencing skills;
• Strong analytical and conceptual skills;
• Excellent writing skills with the ability to produce high level, detailed reports and documentation;
• Strong computer skills and superior use of Microsoft Office suite including HSSE digital platforms;

• Experience working in a multi-cultural environment including ability to relate to diverse groups of people;
• Experience in engaging global teams and inspiring high levels of employee engagement;
• Strong leadership capabilities and a collaborative style which can manage and influence a variety of global stakeholders, including senior management;
• Evaluates options and makes recommendations underpinned by an understanding of the business strategy and global compliance obligations;
• Results oriented individual with the ability to effectively manage multiple priorities and timelines.

• Internal – Global HSSE Group, Global ESG and Corporate Affairs Group, Global and Regional Function Leaders, Regional Head’s of HSSE, Country Leadership Teams, Country HSSE Managers, Site Operational Teams, Supervisors, Employees and Contractors.
• External – Global Service Providers, Auditors, Industry Groups, Contractors, and others as delegated by the Global HSSE Systems, Governance and Assurance Manager.

• Not Applicable

• Full-time

• Research, Analyst, and Information Technology

• Oil and Gas, Financial Services, and Banking

The MultiChoice Group is a multinational media and entertainment group headquartered in South Africa with presence in amongst others the Netherlands, Dubai and the UK with principal operations in pay television (pay-TV), Subscription Video on Demand (SVOD), advertising and content security. Brands within the MultiChoice 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!

Reports to: Senior Manager: Finance Business Innovation

Direct Reports: None

Division: Finance

Department: Shared Services – Finance Business Innovation

Key Stakeholders: Internal Shared Services leadership and employees; EBS (SMAX, Development teams, Incidents Managers, PMO, Demand Management); EBS Business Management Systems (SAP CoE); EBS Emerging Technologies CoE; Customer Insights and Information

The Multichoice Group has embarked on a journey to create a Shared Services Centre (SSC) in South Africa. With this arose a need for a data analytics and business intelligence reporting capability to support the Shared Services. The Senior Specialist is responsible for developing strategic and management information and insights/intelligence and automating manual tasks.

To act as a trusted partner, providing the data driven insights and actions to contribute to the strategic focus areas and decision making in the Finance Shared Services area.

• Explore and implement new ways to automate manual tasks
• Design and test automation process
• Develop, and implement information delivery solutions for the purpose of providing business intelligence
• Develop, and implement a Data Strategy for the Shared Services Centre
• Automate KPIs for the Shared Services Centre
• Develop functionality that graphically represents data in a manner that is user friendly, fully automatable and supportable
• Assist in the design of Business Intelligence products for both internal and external use
• Develop, maintain and publish reports, dashboards, scorecards, and other visual information displays through front end interfaces as well as through application and database programming
• Identify, analyse, and interpret trends or patterns
• Work closely with management to prioritise business and information needs
• Locate and define new process improvement opportunities
• Understand all the data that the business holds and create sustainable reporting solutions, ensuring the accuracy of the data
• Take responsibility for Management Information report design and production; scope and prioritize work stream
• Present statistical and Machine Learning solutions to internal stakeholders
• Carry out research on statistical and Machine Learning methods and technologies that could offer potential competitive advantages
• Conduct ad hoc deep dive analyses and present results
• Source, clean and combine data from various sources to design reports connecting the dots and provide holistic views of the business, the environment and various data points
• Create anomaly detection and alerts for key metrics
• Maintain, build and improve data consolidation and automation from various platforms to enable integrated views
• Formulate, suggest and manage data-driven projects which are geared at furthering the business' interests
• Lead the data discovery and innovation processes, identifying potential big data driven solutions and initiatives
• Clean and convert raw data into formats that can be used by other tools
• Carry out quality assurance testing to ensure the models deliver insights accurately
• Develop, test, implement and maintain solutions
• Apply best available practices for artificial intelligence and machine learning

• Relevant Degree with experience in the following fields: Data science, IT, Big-data, Analytics, or equivalent mandatory
• SAP Certification (advantageous)

• 5-8 years’ experience in a similar role, within a large corporate or consulting environment
• SQL and Power BI
• Specific experience working with a large finance team
• Workflow automation, Business Intelligence and Analytics
• Business Requirements Analysis
• Advanced MS Excel
• Microsoft Power Platform Advantageous
• Robotics Process Automation (RPA) Advantageous
• Analytics
• Adhoc analytical tools: MS Excel/PowerPivot

• Mid-Senior level

• Full-time

• Finance and Analyst

• Technology, Information and Media, Broadcast Media Production and Distribution, and Entertainment Providers