862 Data Insights jobs in South Africa

At Medihelp, we live our values daily - excellence, compassion, collaboration, and transparency - to make a real difference in the lives of our members
. We're looking for someone who lives these values through their mindset, work ethic, and interactions with others.

The primary role of the position is to lead the delivery of data-driven insights, reporting frameworks and predictive models that support Medihelp's strategy. The successful candidate will translate business needs into actionable data products, manage the operationalisation of reporting platforms and build scalable predictive analytics that inform decisions and foster innovation.

Requirements
Bachelor's degree or Diploma in Data Science, Statistics, Actuarial Science, Computer Science or related.

Seven years of relevant experience in Analytics, BI or Data Science, preferably in a healthcare or financial services environment.

Strong SQL, Python/R, and data modelling experience.

KEY COMPETENCIES
Ability to lead projects independently and interface with leadership

Ability to translate business requirements into technical solutions

Positive attitude with a focus on continuous improvement

Attention to detail and strong organisational skills

Join a team where our values guide everything we do - from how we work together to how we serve our members.

At Medihelp, we live our values daily excellence, compassion, collaboration, and transparency to make a real difference in the lives of our members. Were looking for someone who lives these values through their mindset, work ethic, and interactions with others.

The primary role of the position is to lead the delivery of data-driven insights, reporting frameworks and predictive models that support Medihelps strategy. The successful candidate will translate business needs into actionable data products, manage the operationalisation of reporting platforms and build scalable predictive analytics that inform decisions and foster innovation.

REQUIREMENTS

Bachelors degree or Diploma in Data Science, Statistics, Actuarial Science, Computer Science or related.

Seven years of relevant experience in Analytics, BI or Data Science, preferably in a healthcare or financial services environment.

Strong SQL, Python/R, and data modelling experience.

KEY COMPETENCIES

Ability to lead projects independently and interface with leadership

Ability to translate business requirements into technical solutions

Positive attitude with a focus on continuous improvement

Attention to detail and strong organisational skills

Join a team where our values guide everything we do from how we work together to how we serve our members.

Empowering Africa's tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

Responsible for driving continuous improvement through actionable insights, robust reporting, and effective knowledge management.

This role focuses on transforming data into meaningful information that supports informed decision-making across the call center and related operations.

The specialist works closely with stakeholders and technical teams to design and deliver analysis, dashboards, reports, and data-driven tools.

The role requires strong analytical and problem-solving skills, the ability to manage multiple priorities under tight deadlines, and a proactive approach to identifying opportunities for optimization.

Key responsibilities include structuring and preparing data, building data models and pipelines, and creating visualizations and analysis that enable business users to monitor performance, identify trends, and improve operational efficiency as well as colleague and customer experience.

Job Description

The ideal candidate would be someone with:

• Strong background in BI and analytics, with a passion for data-driven decision-making.
• Eager to develop data science skills, including predictive modeling and machine learning.
• Demonstrates initiative and ownership, proactively identifying opportunities and driving solutions from concept to implementation.
• Excellent communication skills to translate data insights into business value.

Education Required:

• Bachelor's Degrees and Advanced Diplomas

Skills Required:

• SQL Server & relations databases
• Power BI
• Python (data wrangling, analysis, visualization, modelling, machine learning, etc.).
• Analytical Statistics
• Mathematics

Experience Required:

• 4+ years in a similar environment
• Service- or call-center experience beneficial.

Advantageous:

• Machine Learning or NLP experience
• SQL Server Integration Services experience
• Databricks experience
• Web development experience

Key accountabilities:

• Deep Dive Analytics - Analyze operational and customer interaction data (e.g., call center performance, service efficiency, customer experience and related operations) to identify trends, patterns, and improvement opportunities. Use SQL Server, Power BI, Databricks, Python, and other relevant tools for data extraction, transformation, and visualization.
• Analytical Insights - Perform advanced data manipulation and apply analytical, statistical and machine learning techniques to provide insights and recommendations that improve operational performance. Identify opportunities to optimize processes and strategies through technology-driven solutions.

• Solutions Development - Design and deliver end-to-end solutions that enable actionable insights and data-driven decision-making. This includes building sustainable dashboards, reports, and visualization tools, as well as developing the underlying data models and pipelines that power them.

• Stakeholder Engagement - Work closely with business stakeholders and technical teams to understand requirements and co-create solutions. Collaborate with the team to deliver actionable insights, dashboards, and other data-driven tools that support informed decision-making.

Education

Bachelor`s Degrees and Advanced Diplomas: BMI - Business Management and Informatics

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Data Insights Analyst

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced environment where your contributions make a meaningful impact? We're looking for a talented individual to join our team specializing in Lead Generation as a Data Insights Analyst. In this role, you'll play a crucial part in delivering data-driven insights to support the growth of our clients' businesses.

Main Responsibilities:

Master Cutting-Edge Tools: Become a Super user of Bombora, Automata, and IFP insights, unlocking their functionalities.

Sales Support: Provide proactive insights and recommendations to Sales and Customer Success Managers, supporting the growth of Tier 1 clients and agencies in the US and UK.

Strategic Collaboration: Work closely with the Commercial Planning team to ensure campaigns are strategically focused and deliverable based on audience insights.

Campaign Activation: Support campaign activation by creating and exporting Bombora audience segments for content syndication, programmatic, and paid social campaigns.

End-of-Campaign Reporting: Assist with End-of-Campaign reporting, particularly when employing an Account-Based Approach (ABA), showcasing the impact of campaign activities across Target Account Lists (TALs).

Trend Analysis: Make recommendations on next steps/future activity based on results and shifting trends in the market.

Enhanced Reporting: Supplement reports with additional insights around competitors, audience, and content.

Key Attributes:

Detail-Oriented: Very detail-oriented and logical thinker.

Tech Savvy: Highly proficient in Microsoft Office, especially Excel and PowerPoint.

Analytical Mindset: Analytically minded with a passion for data, trends, and insights.

Quick Learner: Strong interest and ability to quickly learn new tools and platforms.

Problem-Solving Enthusiast: Enjoys problem-solving and finding new solutions to drive innovation.

Well-Organized: Thrives in a fast-paced, high-volume work environment.

Knowledge & Experience:

Experience: 1-2 years in a data, analytics, or reporting role.

Communication Skills: Meticulous attention to detail combined with strong written and oral communication skills.

Reporting Expertise: Ability to communicate insights and results of data analyses by producing written reports.

Benefits:

28 Days Holiday

Private Health Care

Early Finish Fridays: 3pm

If you're ready to join a dynamic team and make a significant impact with your data insights, apply now and take the next step in your career as a Data Insights Analyst.

Analytics Manager: Data insights & Attributes

• Full-time
• Employee Status: Regular
• Role Type: Hybrid
• Department: Analytics
• Schedule: Full Time

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

The Experian Analytics team develop quality analytics products and services, and deliver it to clients with quality, consistency and efficiency. We also provide professional and transparent advice and support to clients consuming our products and services. The Analytics Manager will lead a team of analysts to deliver data-driven insights and solutions that support strategic decision-making. This role plays a critical part in shaping our analytics capabilities and driving innovation across portfolios.

Management and Team Leadership

• Leads Analytical team in their respective roles to accomplish assigned tasks.
• Actively manage resources and the deployment of effective recruitment, development and talent management practices to retain high performers.
• Encourage a culture of personal development ‘ownership’ across the team ensuring that everyone has regular performance reviews, career conversations and a structured personal development plan.
• Deploy an effective communication strategy to encourage employee engagement and enable a two-way exchange of key information i.e. business messages and employee feedback.
• Monitor performance using appropriate KPI’s; act where appropriate to address poor performance through the Company’s capability procedures.
• Management of client and bureau deliveries, including accurate effort estimations, quality control of deliveries and timeline management.

Managing Internal Client Relationships

• Develop and maintain influential relationships internally with other departments
• Where necessary attend client meetings to support the sales process, provided through expert analytics solutions knowledge.
• Support the Analytics Product Manager in enabling sales, the DA consultants and other key stakeholders by providing full documentation of products and services developed, client use case information showcasing the benefit and occasionally partake in training and knowledge share sessions across the business.
• Provide regular feedback to the Head of Analytics on performance, quality and timeliness of delivery on projects run in the team. Act as appropriate when agreed standards are not met and escalate all issues that should proactively addressed with the assistance of the Head of Analytics.
• Participate in external sales promotional events where appropriate

Strategy and Innovation

• Participate in annual strategic planning to create and maintain the Analytics products & service roadmap.
• Drive innovative thinking in the team, identifying gaps in current solutions, but also identifying new products that can be created to solve client needs.
• Oversee the development of creative and productive solutions utilizing the team’s resources.
• Collaborate with other teams in Analytics, as well as production teams, to successfully implement new products or deploy changes to existing products at a high level of accuracy and with agility.
• Adhere to and role model the highest ethical standards, as well as Experian’s core values
• Ensure data integrity and compliance with regulatory standards
• Drive continuous improvement in analytics methodologies and tools

Qualifications

• Minimum 8 years of experience in analytics, with at least 2 years in a leadership role.
• Prerequisite: Practical experience in credit risk portfolio analytics, reporting using visualization tools (e.g. PowerBI, Tableau), and monitoring
• Preferred: Practical experience developing credit risk scorecards or other relevant models
• Experience in financial services or a related industry is preferred.
• Good understanding of credit risk management across the customer lifecycle.
• Ability to adapt to change and lead change management within their team.
• Familiarity with cloud platforms
• Bachelor’s or Master’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, or Economics.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

The Experian Analytics team develop quality analytics products and services, and deliver it to clients with quality, consistency and efficiency. We also provide professional and transparent advice and support to clients consuming our products and services. The Analytics Manager will lead a team of analysts to deliver data-driven insights and solutions that support strategic decision-making. This role plays a critical part in shaping our analytics capabilities and driving innovation across portfolios.

• Leads Analytical team in their respective roles to accomplish assigned tasks.
• Actively manage resources and the deployment of effective recruitment, development and talent management practices to retain high performers.
• Encourage a culture of personal development ‘ownership’ across the team ensuring that everyone has regular performance reviews, career conversations and a structured personal development plan.
• Deploy an effective communication strategy to encourage employee engagement and enable a two-way exchange of key information i.e. business messages and employee feedback.
• Monitor performance using appropriate KPI’s; act where appropriate to address poor performance through the Company’s capability procedures.
• Management of client and bureau deliveries, including accurate effort estimations, quality control of deliveries and timeline management.

• Develop and maintain influential relationships internally with other departments
• Where necessary attend client meetings to support the sales process, provided through expert analytics solutions knowledge.
• Support the Analytics Product Manager in enabling sales, the DA consultants and other key stakeholders by providing full documentation of products and services developed, client use case information showcasing the benefit and occasionally partake in training and knowledge share sessions across the business.
• Provide regular feedback to the Head of Analytics on performance, quality and timeliness of delivery on projects run in the team. Act as appropriate when agreed standards are not met and escalate all issues that should proactively addressed with the assistance of the Head of Analytics.
• Participate in external sales promotional events where appropriate

• Participate in annual strategic planning to create and maintain the Analytics products & service roadmap.
• Drive innovative thinking in the team, identifying gaps in current solutions, but also identifying new products that can be created to solve client needs.
• Oversee the development of creative and productive solutions utilizing the team’s resources.
• Collaborate with other teams in Analytics, as well as production teams, to successfully implement new products or deploy changes to existing products at a high level of accuracy and with agility.
• Adhere to and role model the highest ethical standards, as well as Experian’s core values
• Ensure data integrity and compliance with regulatory standards
• Drive continuous improvement in analytics methodologies and tools

• Minimum 8 years of experience in analytics, with at least 2 years in a leadership role.
• Prerequisite: Practical experience in credit risk portfolio analytics, reporting using visualization tools (e.g. PowerBI, Tableau), and monitoring
• Preferred: Practical experience developing credit risk scorecards or other relevant models
• Experience in financial services or a related industry is preferred.
• Good understanding of credit risk management across the customer lifecycle.
• Ability to adapt to change and lead change management within their team.
• Familiarity with cloud platforms
• Bachelor’s or Master’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, or Economics.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by text: Find out what its like to work for Experian.

Alistair Group is one of East and Southern Africa’s fastest-growing service companies, providing a variety of self-delivered logistics solutions across several geographies, aimed with the vision to Make Africa Work Better! With core competencies in road freight, warehousing, commodity trading and operational hire of material handling equipment, the Group strives for continuous expansion of innovative ancillary services to grow the business vertically, complimented by a healthy dose of entrepreneurial flair. The business has gone from strength to strength, growing quickly in both its geographical coverage and variety of services offered to clients. In 2024, the Group exceeded the 1000 employee mark and managed a fleet of well over 1000 trucks. With Alistair’s aggressive and exciting growth strategy, the Group is poised for significant further expansion and a greater impact in Africa.

Core Services:

• Freight Forwarding
• Clearance & Forwarding
• Energy Industry Support Services
• Equipment Rental
• Commodity Trading
• Integrated Solutions
• Warehousing
• Ocean Freight

• Mining
• Oil & Gas
• Agriculture
• Construction
• Explosives
• Renewables

1. Strategic Insight Generation

• Own and lead delivery of cross-departmental analytics projects that inform executive decisions, from operational optimisation to financial forecasting.

• Proactively identify high-leverage data opportunities and build reporting ecosystems that enable teams to act with confidence and speed.

• Translate business objectives into data initiatives, ensuring outputs are actionable, relevant, and value-driven.

2. Data Architecture & Reporting Frameworks

• Design and maintain scalable, maintainable reporting systems (dashboards, automated reports, models) that support users from front-line teams to executives.

• Establish consistent definitions and KPIs across business units to enable Group-wide alignment.

• Act as the product owner for the analytics stack—prioritising developments, driving adoption, and evolving tooling as business needs grow.
  

3. Cross-Functional Collaboration

• Serve as the go-to analytics partner for Planning, Ops, Finance, Tech, and Executive leadership, with a mandate to unify and elevate the Group’s data maturity.

• Lead cross-team analytics initiatives—e.g. performance benchmarking, forecasting tools, pricing or capacity planning models—that require deep collaboration and influence.

4. Coaching, Standards, and Governance

• Mentor and upskill analysts and data consumers across departments; set best practices for analytical work, from SQL/query design to dashboarding.

• Maintain documentation and data governance standards to ensure reliability and repeatability in analytics outputs.
  

5. Special Projects and Innovation

• Lead “special forces” analytics efforts—time-sensitive, complex projects where precision, innovation, and cross-functional alignment are key.

• Champion the use of new tools and methodologies (e.g. predictive modelling, scenario simulation, automation) to advance analytics capability.

Skills and Qualifications

• 5+ years in data/analytics, with experience leading cross-functional initiatives.

• Strong grasp of business operations, financial logic, and stakeholder management.

• High-level proficiency in tools such as SQL, Python, Power BI / Tableau / Looker Studio / Smartsheets (as appropriate).

• Experience managing complex reporting pipelines and coordinating inputs from multiple teams.

• Strong communicator with ability to “translate” technical outputs into business actions.

By completing your details and clicking “Submit Application” you consent to Alistair Group processing your personal information in accordance with our Privacy Policy .

Overview

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Senior Manager

Summary : This role is within PwC SATIC (South Africa Technology & Innovation Centre). The Data Cluster Lead leads data governance, analytics, and compliance services to protect, quality-check, and strategically leverage internal firm data.

Qualifications / Certifications required:

• Bachelor’s degree in data science, information systems, business analytics, or a related field.

• A master’s degree or relevant certifications (e.g., CDMP, CIPP, PMP) is advantageous

Experience required:

• 5 – 7 years in data governance, analytics, or data management roles, preferably within professional services or shared services environments.

• Proven experience in implementing data privacy frameworks (e.g., GDPR, POPIA) and managing compliance audits.

• Strong understanding of data lifecycle management, data quality frameworks, and analytics platforms.

• Demonstrated ability to lead cross-functional teams and manage complex data initiatives.

• Experience with data visualization tools (e.g., Power BI, Tableau) and data platforms (e.g., Azure, Snowflake) is highly desirable.

• High adaptability to fast-paced, evolving environments.

• Strong understanding of workforce and learning management principles and experience applying them in a business context.

• Demonstrated ability to lead and manage diverse teams effectively.

• Excellent communication and interpersonal skills, with the ability to engage with stakeholders at all levels.

• Experience in the introduction and management of HR automation and AI tools is highly desirable.

• High adaptability to fast-paced environments and evolving industry dynamics.

• Demonstrated leadership of diverse, cross-territory teams

• Experience with automation and AI tools is highly desirable

• Demonstrated ability to manage competing priorities across operational and strategic domains.

• Data Quality & Lifecycle Management: Collaborate with data stewards and system owners to maintain high standards of data quality, access control, and lifecycle management.
• Analytics & Insights Delivery: Guide the team in designing and delivering dashboards, reports, and predictive models that support strategic decision-making.
• Service and Territory Expansion: Identify and pursue opportunities to expand data services across territories. Align team capabilities with emerging business needs. Map team skills to potential service offerings.
• Stakeholder Engagement: Maintain regular cadence with territory stakeholders; manage client relationships and ensure alignment with strategic goals.
• Service Onboarding: Oversee onboarding of new services into the cluster; streamline processes and ensure quality integration.
• Career Planning: Support team leads in career development initiatives; ensure skills mapping and alignment with growth objectives; ensure succession planning for key roles.
• Reporting: Provide monthly performance, quality assurance and strategic progress reports to the Business Services Steerco.
• Strategy Execution & Industry/Service Awareness: Drive execution of strategic initiatives in alignment with SATIC goals; stay informed on emerging trends in data governance, analytics, and AI; translate industry insights into actionable strategies; promote alignment with global best practices and client expectations.
• Automation and AI Introduction: Lead integration of automation and AI to improve efficiency; promote adoption of innovative tools and methodologies.
• Risk Management: Identify and mitigate risks within the cluster; implement risk assessment protocols to ensure continuity.
• Leadership and Collaboration: Foster a culture of collaboration and continuous improvement.
• Innovation and Continuous Improvement: Promote best practices, new technologies, and a culture of innovation and operational excellence.

• Strategic thinking and execution; strong communication and stakeholder engagement; operational and project management; analytical and problem-solving skills; strong people leadership experience; adaptable in identifying innovative opportunities.

• Detail-oriented and results-driven; proactive, adaptable, and solution-focused; comfortable working with ambiguity and managing change; culturally competent with a global mindset; high integrity and professional accountability; high levels of resilience; self-starters.

Travel Requirements : Up to 20%

Available for Work Visa Sponsorship? No

October 2, 2025