1,956 Data Analyst jobs in South Africa

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast‑paced and dynamic environment enables smart, self‑driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

Group internal audit forms part of Group Finance. Group Internal Audit is responsible for performing internal audit services throughout Discovery.

The successful candidate will be responsible for completing audits inside Discovery and providing feedback on the outcome. The successful candidate must have a drive, sense of urgency and work flexibility.

• Perform audits in line with Audit Methodology.
• Assist in defining scope and approach of audits.
• Prepare Letters of Engagement, Audit Planning Memorandums (APM), CAATs Manual and address review notes where applicable.
• Request data from the client, document SQL queries, analyse data and document deficiencies identified after performing the required CAATs testing.
• Build relational data structures, including relationships between tables, grouping data, and following steps to perform analysis.
• Obtain data for internal audit assignments (by means of SQL and any other relevant sources).
• Analysis of data and identifying exceptions and trends by utilising available data analysis software.
• Save all SQL scripts used for any audit assignment.
• Prepare finalised working papers and evidence for all components of work, as per standards set in the Audit Methodology.
• Ensure that working papers are appropriate and include: Objective, Risk, Controls, Tests, Results, Conclusion and supporting documents.
• Communicate findings / control weaknesses identified with business prior to drafting observations.
• Prepare the draft report which includes criteria, detailed findings, root cause, potential consequences, recommendations and management actions.
• Complete action plans on file.
• Provide feedback to Audit Manager / Audit Data Specialist regarding progress on activities.
• Advise Audit Manager / Audit Data Specialist immediately of any problems experienced on audit section.
• Assist management in compiling a continuous auditing audit plan.
• Conduct continuous auditing assignments.
• Assigned work is completed on time and within budget.
• Completion of time-sheets on a weekly basis.
• Request feedback from business management (client satisfaction survey).
• Escalate cases where feedback is not received.

• B Degree or equivalent (and relevant) qualification (with Computer Science / Computer Auditing / Information Systems / Auditing / Data Science as majors)
• CISA / CISM / CRISC / CGIT (one or more of the afore mentioned are advisable)
• SQL / Alteryx (or data analytics equivalent) certification
• 3+ years data analytics experience

• CAATS tools such as SQL, Alteryx.
• Extensive PL/SQL programming language.
• Technical knowledge and experience on Windows, Solaris, Linux, Oracle and networks.

• Upholds ethics and values and demonstrates integrity.
• Takes initiative and works under own direction with the ability to make quick, clear choices which may include tough choices or considered risks.
• Shows respect for the views and contributions of others.
• Strong negotiating and influencing skills.
• Excellent communication skills. The candidate should speak fluently, have the ability to write in a well‑structured and logical manner.
• Demonstrates an understanding of different organisational departments and functions.

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

• Associate

• Full‑time

• Information Technology

Job Description

Are you ready to launch your career in data analytics and eager to turn raw data into valuable insights

A respected organisation is looking for an enthusiastic Entry-Level Data Analyst to join their team. This is an ideal opportunity for a recent graduate who is passionate about data and eager to build a future in analytics. The successful candidate will work alongside experienced professionals gaining hands-on experience while supporting data-driven decision-making across the business.

This role is best suited to someone with strong foundational knowledge and a hunger to learn rather than years of experience. Its the perfect stepping stone into the world of analytics.

• Assist in data collection cleaning and preparation
• Generate reports and dashboards using Excel and Power BI
• Support teams with data-driven insights and recommendations
• Use SQL to query and extract data where required
• Work with internal stakeholders to understand reporting needs
• Continuously improve reporting tools and analytical methods

• BCom or BSc degree (essential)
• Strong Excel skills
• Power BI knowledge or willingness to learn quickly
• Exposure to SQL (even basic)
• A genuine interest in pursuing a career in data analytics
• Strong attention to detail and problem-solving mindset

All positions will be filled in accordance with the companys Employment Equity plan. We encourage people with disabilities to apply.

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary : 2000 - 3000

Data Analyst (12 Month Contract)

Salary: 650,000 - R800,000

Location: Johannesburg , South Africa

As the world's leading reinsurance company with 40,000 employees at over 50 locations in all parts of the world, and operating within South Africa for over 50 years. Our Client introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change.

The Data Analyst is responsible for liaising with internal / external clients to understand their data and systems, analysing and reporting on its content and quality, ensuring it demonstrates compliance with reinsurance treaty conditions and that it is fit for purpose for data users in other departments. Data is assessed, cleansed and loaded to life system to ensure its accuracy and quality before use by accounting, business and actuarial departments in making business decisions ensuring effective treaty management.

• Liaising with internal / external clients to understand different data files and treaty rules.
• Strong understanding of local Life systems including business knowledge.
• Technical set up of business rules and treaty conditions in system.
• Set up regular processes of data receipt, cleaning, loading and reporting.
• Data analysis and feedback on quality of data files received, with recommendations to improve.
• Put in place consistent layout and mappings of data sources into the standard format.
• Upload and delivering data to relevant Life systems in a standard, quality assured format.
• Close liaison with local stakeholders to resolve issues resulting from loading errors.
• Understand existing business processes and suggesting improvements.
• Facilitate changes as user requirements change.
• Knowledge transfer and automation as far as possible.

• Degree or equivalent in a numerate or analytical science, e.g. Mathematics, Computer Science; actuarial science
• 6 years’ experience in Life insurance industry(preferably reinsurance) working as a SQL data analyst, BI or nrelated.
• Experience in data transformation and reporting for valuations purpose.
• Previous work experience with BI and working with multiple data sources

• Excellent communication skills
• Strong numerical and analytical skills
• Ability to communicate effectively in a technical and non-technical manner
• Ability to work in-depth on complex topics
• Must have Excellent Microsoft Excel skills
• More than 6 years working experience with MS SQL Server 2012 ( or later)
• Experience in design, development and maintenance of database objects
• Experience with SSIS at an intermediary to advanced level
• Experience with reporting using SQL in Power BI would be an advantage
• Experience working with multiple data sources in SQL

This role gives you a chance to work in a major retail environment without the corporate stiffness. Youll flex your analytical muscles, collaborate across teams, and make real impact with tools like SAS, SQL, and Python. Expect mentorship, career growth, and the chance to help shape key business decisions.

• Execute the data visualization and reporting strategy, ensuring accurate, timely, and understandable reports.
• Develop and design reports, aligned with stakeholder needs and business requirements.
• Transfer knowledge of reports and dashboards to end users, ensuring self-service analytics adoption.
• Monitor data quality, resolve conflicts, and act on insights to ensure customer-centricity in your work.
• Manage your workload, deadlines, and contribute positively to team collaboration.

• Degree in a quantitative field (Data, Finance, Economics, Statistics, and Informatics). Post-graduate qualifications are a bonus.
• 2+ years in data analytics, with strong mathematical and analytical ability (exposure to retail data models is advantageous).
• Proficient in SAS, SQL, Python, and Microsoft Office; and strong attention to detail and problem-solving skills.
• Must be able to interpret complex data sets and communicate insights effectively to business stakeholders.

Apply now!

Who are we

We are a leading player in the fast-moving consumer goods (FMCG) industry, committed to driving growth, innovation, and efficiency.

We are seeking an experienced Data Analyst with 10–12 years’ experience in data analytics, ideally within FMCG, retail, or manufacturing. This individual should have advanced expertise in Power BI, Excel, and SQL, with strong exposure to ERP and CRM systems. A strategic thinker with exceptional analytical skills and the ability to translate data into actionable insights, the right candidate will be comfortable engaging with senior stakeholders and mentoring junior team members.

Design, automate, and maintain dashboards and reports for sales, marketing, finance, and operations.

Ensure accuracy, timeliness, and reliability of business performance reporting.

Conduct trend, variance, and root-cause analysis across pricing, trade promotions, and sales performance.

Provide demand forecasting and supply chain planning support.

Deliver insights on customer profitability, market trends, and consumer behaviour.

Build predictive models to guide commercial strategy and category management.

Partner with cross‑functional teams to evaluate ROI of marketing campaigns and promotions.

Present clear, visual, and impactful insights to senior leadership.

Mentor and guide junior analysts in data handling and visualization best practices.

Bachelor’s / Master’s Degree in Statistics, Data Science, Economics, Computer Science, or a related field.

6 - 10 years of proven experience in data analytics.

Advanced skills in Power BI (DAX, data modeling), SQL, and Excel.

Familiarity with ERP systems (SAP, Oracle, MS Dynamics) and CRM tools.

Experience with Python, R, or SAS for statistical modeling (advantageous).

Strong understanding of FMCG sales, marketing, trade, and supply chain dynamics.

Excellent communication and executive presentation skills.

Key strengths : analytical mindset, commercial acumen, attention to detail, data storytelling, and leadership.

Takealot Fulfilment Solutions (TFS), a division of Takealot Online (RF) (Pty) Ltd, is looking for a highly talented Data Analyst to join our team in Cape Town .

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• Inclusive culture: Your unique perspective drives extraordinary results
• A culture that celebrates individual uniqueness while championing the strength of togetherness.
• Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

At TFS, your growth is our growth. You’ll be joining a team powered by Takealot Group’s core values.

This position reports to the Head of TDT Analytics.

• Building and optimising models and reports using support tools i.e. Looker, Looker Studio, Dataform, Branch Dashboards, Weekly reports to inform operational decisions and drive improvement.
• Creating reports with focus areas for business improvement.
• Building dashboards to be used by the business for exception management.
• Identifying important variables and focus areas in the business.
• Analysing data to answer strategic and operational questions posed by the business.
• Automating data extraction and report update processes.
• Provide information to various stakeholders.
• Data Validation and integrity testing.
• Data Cleansing and data modelling.
• Provide information to various stakeholders.
• Collaborate with TDT managers and Franchise Managers to establish project plans while accounting for the trade-offs between operational practicality and overall performance.
• Provide significant support to TDT according to weekly goals and targeted metrics.
• Use weekly and monthly targets to manage day-to-day performance and inform operations for best impact.
• Regularly review and analyse key metrics in operations to identify root causes and formulate solutions to improve performance.
• Managing customer, branch, driver, and courier feedback into continuous performance improvement processes.

• Have worked with Automation and ETL software.
• Strong experience in building and optimising SQL scripts.
• Have a strong understanding of BI fundamentals.
• Implement version control using GIT.
• Implement continuous integration and continuous deployment (CI/CD) pipelines.
• Write technical documentation for APIs and libraries.
• Implement analytics and tracking features in applications.
• Design and implement database schemas.
• Optimize database queries and indexes for performance where needed.
• Implement error handling and logging mechanisms.
• Estimate story points and task durations for sprint planning.
• Demonstrate a willingness to learn and adapt to new technologies.

• Solutions-oriented, can-do attitude and high energy.
• Strong analytical and critical thinking, using data to inform decisions.
• Ability to identify areas of improvement in current processes.
• Ability to use logic and common sense to arrive at conclusions.
• Passion for understanding ambiguous, complex problems and driving high quality, innovative, clean solutions.
• Highly structured thinker with strong attention to detail.
• Ability to handle multiple competing priorities in a fast-paced environment.
• Must have exceptional communication skills to help deliver insights to diverse stakeholders.
• Detail oriented, outcome and process focused.
• Willingness to learn and personal desire to keep up to date with technology and process.
• Comfortable with change and excellent team player.

• Bachelor’s degree or Advanced Diploma in Engineering, Information Systems, BCom Computer Science or similar degree and 3 years experience in a BI, Data, Engineering role within a fast-paced, product-led, and growth-focused organisation, playing a key role in data gathering, data analysis and helping the team make data based decisions.
• In the event the candidate does not have a Bachelor’s degree or Advanced Diploma in Engineering, Information Systems, BCom Computer Science or similar then a relevant Higher Certificate and 6 years relevant experience in a BI, Data, Engineering role within a fast-paced, product-led, and growth-focused organisation, playing a key role in data gathering, data analysis and helping the team make data based decisions.
• Strong hands-on experience with SQL, ETL pipelines, Google BigQuery, AWS, Looker Studio, and Python.
• Automation - Cron Scheduling (Custom or 3rd party software scheduling).
• High level of proficiency with MS Office packages with proven advanced proficiency in Excel / Google Sheets, Docs & Slides.
• Experience with large datasets and optimisation on digital platforms.
• Retail or e-commerce and Supply Chain industry experience is beneficial.

Be part of the extraordinary. Be part of TFS.

Takealot Fulfilment Solutions (TFS) is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

As a Data Analyst, you’ll be responsible for gathering and processing data from various sources. The technical data analyst skills required to enable the data lifecycle within EDS, namely the ability to profile source data and complete the relevant mapping documentation to enable the data integration between the source system (golden / trusted) and target system (LOB).

• Can perform data analysis and report in time and budget expectations.
• Gather and organize facts about the project from multiple sources in preparation for analysis and decision-making.
• The technical data analyst skills required to enable the data lifecycle within EDS, namely the ability to profile source data and complete the relevant mapping documentation to enable the data integration between the source system (golden / trusted) and target system (LOB).
• Experience, Knowledge, and Understanding of :
• Data warehousing concepts.
• An agile working approach essential
• Data Profiling is essential

• A bachelor’s degree or Diploma in Computer Science or a related field required
• Must have at least 5 years of experience in data analysis, statistics, or a related field.
• Must have strong analytical skills with the ability to communicate effectively both verbally and in writing.

Renumeration: Market-related based on experience

Location: Johannesburg

Job level: Mid

Type: Permanent

Bridgement is breaking down the barriers to access finance for small businesses in South Africa. Traditional loans from banks and other lenders have a slow application process, have strict criteria, require a lot of documentation, and inflexible terms. In contrast, we use cutting-edge technology and artificial intelligence to offer flexible finance online, with a 2-minute application, no documentation required, and a decision in a matter of hours. We’re a well-funded fintech start-up, backed by Opus18 (previously Capricorn Capital Partners) and the greater Yellowwoods group, best known for their investments in and ownership of Nandos, Hollard, Clientèle, Direct Axis, and Budget Group. Having won several awards recently, including Xero’s App of the Year award, we are proud to be recognised by worldwide brands as a trusted and valued business.

As a Data Analyst, you will collaborate across teams, transforming data into meaningful insights that drive our business forward.

You will:

• Own, build, and maintain dashboards and reports in Microsoft Power BI (and other tools) that drive key business decisions.
• Continuously improve BI infrastructure, ensuring data accuracy, consistency, and performance.
• Partner with Marketing, Credit, and Finance teams to translate business requirements into actionable insights.
• Work closely with team leads to understand requirements and communicate insights.
• Support data-driven decision making by enabling self-service BI across the organisation.
• Leverage AI tools for more efficient data processing and analytics.
• Use SQL, Excel, and DAX to model and transform data for analysis.
• Document BI processes and create clear data dictionaries or guides for users.

Requirements

• Tertiary degree in Information systems, Informatics, Statistics, Economics or Finance. Honors preferred.
• Proficiency in PowerBI and DAX is essential.
• Solid understanding of financial data and reporting structures (income statement, balance sheet, etc.).
• 2-3+ years business intelligence experience, preferably in financial services or fintech.
• Strong excel, SQL and data modelling skills.
• Passion for growing SME’s across South Africa.
• Excellent attention to detail and ability to communicate complex insights simply.

In addition to a competitive salary, we also provide:

• An opportunity to be a part of one of the most exciting, growing fintech startups
• A smart, fun and diverse team with an open door policy for conversation, suggestions and idea sharing
• A lovely office in the heart of Melrose Arch featuring great coffee, complimentary snacks and regular team social events
• Amazing employee benefits including life insurance, disability + critical illness, income protection and gap cover, as well as other benefits like psychological, physical, financial wellbeing and legal support
• Sponsorship for pre-approved online courses

If you think you’re the right person, please fill out the form below and include your CV.

Job Summary :

A Data Analyst will be responsible for collecting processing and performing statistical analyses on large datasets. The successful candidate will help our organizations with making data-driven decisions by identifying trends patterns and insights that can improve our business operations marketing strategies customer experience and overall performance.

This role will require the analyst to work closely with different departments to understand their data needs developing reports and dashboards and ensuring the accuracy and integrity of data. Our desired candidate possesses strong analytical skills attention to detail and proficiency in data tools and programming languages such as Excel SQL Python or R.

Key Responsibilities :

• Data Consolidation : Identify collect and consolidate disparate data from various sources and departments into a centralized accessible format.
• Data Integrity & Validation : Implement robust processes to ensure the accuracy completeness and consistency of all consolidated data. This includes data cleaning validation and establishing ongoing data quality checks.
• Data Analysis : Conduct in-depth analysis of complex datasets to identify trends patterns and insights relevant to business operations and strategic objectives.
• Strategic Advising : Translate data findings into clear concise and actionable recommendations for departmental heads and leadership to guide strategic planning and operational improvements.
• Reporting & Visualization : Develop and maintain comprehensive reports dashboards and data visualizations (e.g. using Zoho Analytics or similar tools) to present findings effectively to various stakeholders.
• Integration Support : Collaborate with the team to ensure data compatibility and smooth integration with the new Zoho CRM system leveraging its capabilities for enhanced data management and reporting.
• Stakeholder Collaboration : Work closely with department heads and IT to understand data requirements and deliver tailored analytical solutions.
• Documentation : Maintain thorough documentation of data sources methodologies and analysis processes.

Requirements

Qualifications and Desired Skills :

Proven experience as a Data Analyst or in a similar role, with a strong portfolio showcasing data consolidation, analysis, and strategic recommendations. Strong proficiency in data analysis tools and languages, such as SQL, Python, R, and Excel. Proven experience with data visualization tools (e.g., Tableau, Power BI, Zoho Analytics). Demonstrated experience in data cleaning, data validation, and ensuring data integrity. Excellent analytical and problem-solving skills with a keen eye for detail. Ability to translate complex data into understandable insights for non-technical stakeholders. Strong communication and presentation skills. Individual must have high business acumen Experience with CRM systems, particularly Zoho CRM, is highly advantageous. Ability to work independently and as part of a team in a fast-paced environment

Education

Bachelor's degree in Statistics, Computer Science, Business Analytics, Economics, or a related quantitative field.

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 3000 - 45000