1,484 Data Analysts jobs in South Africa

Job Description – BI Analyst (Power BI, Microsoft Environment)

Role Overview

We are looking for a highly skilled
BI Analyst
with extensive expertise in
Power BI
,
MS SQL Server
, and financial data analysis to support the execution of
Client Profitability Tracking and Reporting
for a leading financial institution. The ideal candidate will have experience designing complex dashboards, delivering actionable insights, and working in a
Microsoft technology stack
environment.

Key Responsibilities

• Design, develop, and maintain
  Power BI dashboards
  and reports for client profitability tracking and reporting.
• Work within a
  Microsoft ecosystem
  using
  MS SQL Server
  as the primary data source.
• Translate business requirements into
  data models
  and technical specifications.
• Collaborate with data analysts, finance teams, and business stakeholders to deliver accurate and timely insights.
• Ensure data accuracy, consistency, and compliance with
  financial reporting standards
  .
• Optimize data models and queries for performance and scalability.
• Support
  ad-hoc reporting and analysis
  needs.

Required Skills & Experience

• 7+ years
  of experience as a BI Analyst or similar role.
• Expert-level proficiency in
  Power BI
  (DAX, Power Query, data modeling) and
  MS SQL Server
  for data integration.
• Strong knowledge of
  financial data structures, profitability metrics, and KPIs
  .
• Experience in
  banking or financial services
  preferred.
• Strong communication and stakeholder engagement skills.

Qualifications

• Bachelor's degree in Computer Science, Finance, Statistics, or related field.
• Microsoft certifications in Power BI, SQL Server, or Data Analytics would be an advantage.

Job Description – Data Analyst (SQL, Microsoft Environment)

Role Overview

We are seeking a seasoned
Data Analyst
with strong expertise in
SQL
,
MS SQL Server
, and financial data analysis to support
Client Profitability Tracking and Reporting
initiatives in a
Microsoft technology stack
environment. The candidate will be responsible for analyzing financial datasets, writing queries, and ensuring accurate reporting processes.

Key Responsibilities

• Collaborate with BI analysts and finance teams to prepare datasets for profitability analysis.
• Write, optimize, and maintain
  complex SQL queries
  on
  MS SQL Server
  for data extraction, transformation, and validation.
• Analyze financial data and support
  profitability reporting
  processes.
• Perform
  data cleansing, validation, and quality checks
  to ensure accuracy.
• Support
  ad-hoc financial analysis
  and develop standard reporting frameworks.
• Document data processes, queries, and reporting standards.

Required Skills & Experience

• 7+ years
  of experience as a Data Analyst or similar role.
• Expert-level proficiency in
  SQL
  with
  MS SQL Server
  (joins, CTEs, performance tuning, and optimization).
• Experience with
  financial data, reporting, and profitability analysis
  in banking or financial services.
• Exposure to
  BI tools
  such as Power BI or Tableau is an advantage.
• Strong analytical, problem-solving, and data interpretation skills.
• Ability to handle
  large, complex datasets
  efficiently.

Qualifications

• Bachelor's degree in Computer Science, Finance, Statistics, or related field.
• Microsoft certifications in SQL Server or Data Analytics preferred.

If you are interested kindly share your profile

Overview

The SKA Observatory (SKAO) is a next-generation radio astronomy facility that will revolutionise our understanding of the Universe and the laws of fundamental physics. Enabled by cutting-edge technology, it promises to have a major impact on society, in science and beyond.

In South Africa, the SKAO is collaborating with SARAO to operate and support the construction of the mid frequency telescope (SKA-Mid) in remote Karoo region.

The SKA-Mid Compute Systems Engineer supports the development, integration, and maintenance of computer hardware and related systems that enable the telescope technical and operational goals. This role focuses on implementing and maintaining reliable, secure, and well-performing infrastructure under guidance from senior staff. The SKA-Mid Compute Systems Engineer contributes to the delivery and evolution of systems by deploying, monitoring, upgrading, diagnosing and fault-finding and restoring, applying systems engineering practices, supporting deployments, participating in infrastructure planning, and helping ensure systems remain aligned with SRE requirements. By collaborating across teams, the engineer contributes to building maintainable and scalable systems, supporting both ongoing project development and sustainable steady-state operations.

• Install, implement and maintain computing systems and infrastructure
• Monitor the infrastructure in place
• Contribute to infrastructure planning and system integration efforts
• Assist in performance tuning and reliability improvements
• Apply basic automation and scripting to improve operations
• Support containerized environments and cloud infrastructure
• Collaborate with cross-functional teams and contribute to documentation and knowledge sharing

Apply here: and search using the job title.

Advert reference: uj_

Advert status: Online

Apply by: 31 October 2025

Position Summary

Industry: Education & Training

Job category: Education and Training

Campus: Auckland Park Kingsway Campus

Contract: Permanent

Remuneration: Market Related

EE position: EE

Level: Management

Introduction

The University of Johannesburg (UJ) is a vibrant and cosmopolitan institution, guided by its bold UJ Strategy 2035, which emphasises Societal Impact and Sustainability, Global Footprint and Partnerships, and Technology for the Future. Committed to transformative change, UJ's mission is "To transform and serve humanity through innovation and the collective and collaborative pursuit of knowledge." The University is guided by the vision of building "An international university of choice, anchored in Africa and the global south, dynamically shaping a sustainable future".

Job description

"Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University.

For more information, please review the following link: Justice/Criminal/NRSO

Job Description:

The Centre for Academic Technologies (CAT) supports teaching and learning through innovative and advanced technologies. Ensuring the training and support of the use of such technologies for both staff and students is a central part of CAT. CAT consists of staff support (Learning Experience Advisors Team), student support (Helpdesk Team), and technical/data support (IT team). Ultimately, we support all staff, students, and support stakeholders on all four of our UJ campuses. The purpose of this role is to develop, support, and maintain bespoke technologies for teaching, learning, and research.

Responsibilities:

• Understand the basic teaching and learning support provided by CAT to staff & students.
• Understand the basic technicalities of the Learning Management System.
• To work accurately with numbers and use different statistical techniques.
• Develop and design reports in a timely manner and aligned with the stakeholder requirements.
• Execute the data visualisation that is fit-for-purpose.
• Ensure accurate, reliable and relevant data and information are gathered from trustworthy internal and external information sources for reporting and planning processes.
• Interpret relevant data and present findings to relevant stakeholders that respond to the objectives identified in CAT relating to Teaching & Learning activities such as student progress tracking, learning analytics, etc.
• Build working relationships across divisional teams and functional lines to enhance work delivery, collaboration, and innovation.
• Test projects where developments have been completed by referencing the specification to ensure that the right results are achieved according to the stakeholders' requirements.
• Support capacity building within CAT and other relevant support services in providing data and analysis for planning processes.
• Manage the detailed T&L processes, which include supporting faculties with relevant analyses of current and historical Learning Management System trends and future projections.
• Monitor, identify and analyse trends in various projects related to student success.
• Design and develop intuitive, user-centred visualisations and multimedia that effectively communicate complex data insights.
• Create compelling data narratives that guide stakeholders to actionable insights.
• Transform analytical findings into accessible formats for diverse audiences, including academics, managers, administrators, and students.
• Maintain multimedia assets in alignment with UJ's branding standards.

Minimum requirements

• A Bachelors' degree (NQF 7) in Information Science, Knowledge Management or Statistics.
• At least three (3) years' experience in working with data extraction, analysis and visualisation.
• Proven experience and ability in working with, analysing, and interpreting data.
• Knowledge of accessibility standards for data visualisations (WCAG).

Competencies and Behavioural Attributes:

• Expertise in data visualisation tools (e.g., Power BI, Tableau).
• Proficiency in multimedia production software (video editing tools, animation software).
• Strong understanding of visual design principles and information architecture.
• Expertise in translating complex data into compelling visual narratives for diverse audiences.
• Proven experience and ability in data mining and data creation.
• Proven experience in a detailed planning environment.
• Ability to perform under pressure.
• Excellent writing, oral and electronic communication skills.
• Proven ability to produce high level proposals and reports.
• Excellent presentation skills.

Recommendations:

• An Honour's degree, or equivalent experience in a relevant field (e.g. information science, knowledge management or statistics).
• Experience working in the higher education sector
• Knowledge of trends in national and international higher education.
• Certification in specialised visualisation tools (such as Power BI).
• Understanding of user experience (UX) design principles.

Enquiries:

Enquiries regarding job content: Prof Corne Meintjes (Director: CAT) on Tel:

Enquiries rearding remuneration and benefits: Ms. Busisiwe Dumezweni (HCM Business Partner) on Tel:

Your application, comprising of a detailed Curriculum Vitae as well as the names and full contact details (including telephone numbers and e-mail addresses) of at least three traceable and credible referees must be uploaded before or on the closing date of the advertised post. Please also attach the following: a copy of your highest academic qualification, proof of registration with professional bodies you might belong to and if applying for an academic position, a list of accredited research output and/ or a portfolio of your creative output.

If you require technical support / assistance on the UJ e-recruitment website, please contact our service provider PNET on the following contact details: / or email

Candidates may be subjected to appropriate psychometric testing and other selection instruments.

In conjunction to merit on the basis of qualifications, experience and proven achievements the University of Johannesburg is committed to providing equal employment opportunities for persons with disabilities and those individuals from the historically disadvantaged groups. As necessitated by operational requirements the University reserves the right not to make an appointment to positions advertised. If you have not received a response from the University within 8 weeks of the closing date, you should assume that your application has been unsuccessful.

Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University.

Overview

About the job Business Analysts - Data & Analytics

Our Company is looking for a perceptive Business Analyst: Data & Analytics with a high curiosity quotient to join the Supply Chain Intelligence team our company, based at Head Office in Durban.

• Drive Continuous Business Improvement initiatives
• In partnership with business users identify continuous business improvement opportunities.
• Identify business improvement opportunities in partnership with business users by developing appropriate Use Cases.
• Support Project-/Product Owner to evaluate and Quantify above mentioned Use Cases by performing a Cost-Benefit analysis.
• Assist functional teams to Streamline Business Processes.
• Develop Data & Analytics Solutions
• Lead and implement cross-functional data & visualisation projects.
• Liaise between business functions and technical teams to deliver analytics solutions.
• Unpack and document business requirements.
• Agree project scope and compile functional specifications.
• Review and analyse technical specification documents.
• Prepare the project plan by engaging all relevant parties.
• Plan for project-related hardware and software requirements by liaising on an ongoing basis with the infrastructure team and external software supplier(s).
• Adhere to ways of working & governance.
• Ensure effective communication.
• Serve as a liaison between the business and technical consultants.
• Provide post-implementation guidance and support to all end-users.
• Provide Support and Training
• Lead & support RCL FOODS on their digital upskilling journey.
• Work in conjunction with learning team, super users and citizen analysts to deliver and conduct end user training on existing and new data analytics solutions.
• Assist business users in resolving BI related issues.
• Provide clear problem definition and liaise with necessary technical experts / external consultants to resolve technical issues.
• Develop Technical Expertise
• Develop specialist knowledge of the relevant technologies to support.

• Completed a Bachelor's Degree in Engineering, Computer Science, Information Systems, Mathematics or Statistics.
• Minimum of 3-5 years' experience within a similar role, ideally having worked in an FMCG / Supply Chain environment.
• Business principles
• Business process
• Systems Development Life Cycle
• Analytics problem methodologies
• Database/warehouse design principles
• AI, Machine Learning & RPA technologies
• SAP R/3 & BW
• Microsoft Power & Azure Platform
• Power BI & DAX (Advanced)
• SQL Skills (intermediate)
• SSIS, SSAS & SSRS
• Tabular Editor

Key purpose:

Our Company is looking for a perceptive Business Analyst: Data & Analytics with a high curiosity quotient to join the Supply Chain Intelligence team our company, based at Head Office in Durban.

Duties and responsibilities:

• Drive Continuous Business Improvement initiatives
• In partnership with business users identify continuous business improvement opportunities.
• Identify business improvement opportunities in partnership with business users by developing appropriate Use Cases.
• Support Project-/Product Owner to evaluate and Quantify above mentioned Use Cases by performing a Cost-Benefit analysis.
• Assist functional teams to Streamline Business Processes.
• Develop Data & Analytics Solutions
• Lead and implement cross-functional data & visualisation projects.
• Liaise between business functions and technical teams to deliver analytics solutions.
• Unpack and document business requirements.
• Agree project scope and compile functional specifications.
• Review and analyse technical specification documents.
• Prepare the project plan by engaging all relevant parties.
• Plan for project-related hardware and software requirements by liaising on an ongoing basis with the infrastructure team and external software supplier(s).
• Adhere to ways of working & governance.
• Serve as a liaison between the business and technical consultants.
• Provide post-implementation guidance and support to all end-users.
• Provide Support and Training
• Lead & support RCL FOODS on their digital upskilling journey.
• Work in conjunction with learning team, super users and citizen analysts to deliver and conduct end user training on existing and new data analytics solutions.
• Assist business users in resolving BI related issues.
• Provide clear problem definition and liaise with necessary technical experts / external consultants to resolve technical issues.
• Develop Technical Expertise
• Develop specialist knowledge of the relevant technologies to support.

Qualifications an experience:

• Completed a Bachelor's Degree in Engineering, Computer Science, Information Systems, Mathematics or Statistics.
• Minimum of 3 5 years' experience within a similar role, ideally having worked in an FMCG / Supply Chain environment.

Overview

Job title: Manager : Actuarial Valuations & Statistical Analysis

Job Location: Gauteng, Centurion

Deadline: October 30, 2025

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• Build, develop and assess models for reserving / valuation using appropriate techniques to ensure that the data is accurate, and that model processes are effective, efficient, of high quality, well documented and verifiable.
• Data manipulation to determine reserves.
• Development of an appropriate valuation model / method.
• Setting of valuation assumptions.
• Running the model and producing results.
• Applying sensitivity and scenario testing to the results.
• Producing the valuation report.
• Standardize the actuarial valuation report to Actuarial professional guidance.
• Oversee that the actuarial results are correctly interpreted and reported in the RAF’s quarterly and annual financial statements.
• Manage the whole actuarial valuation process.

• Data manipulation for modelling future projections.
• Development of an appropriate modelling method – deterministic and / or stochastic.
• Set projection or modelling assumptions.
• Running model and reporting on results.
• Producing report on required funding from National Treasury and demonstrating period required by RAF to become solvent.
• Oversee that the actuarial results are correctly interpreted and applied.

• Developing model and assumptions for benefit quotations.
• Data manipulation to state of quotation of loss of earnings or loss of support benefits – especially the model input.
• Running model to produce benefit results.
• Check quotation results actuarially for reasonability.
• Produce quotation report.
• Manage the quotation processing.

• Use actuarial valuation results to compile the FSB report.
• Run a few model scenarios that are required for statutory reporting.
• Produce reports as appropriate.

• Apply the Funding Model for financial projections.
• Set of model assumptions to make them suitable for projection purposes.
• Run model for Strategic Plan results.
• Apply scenario and sensitivity testing to model results.
• Produce necessary report on findings and results.
• Responsible for correct interpretation and application of actuarial results.
• Oversee and manage all related process.

• Extract data and data reports from IT claim system.
• Provide results in statistical and graphical form to provide information for monthly, quarterly, half-yearly and annual management reporting.

• Investigate mortality and morbidity experience to assist in setting the quotation of loss of earnings and loss of support benefits.
• Assist with expense investigation for the company budgeting purposes.
• Produce appropriate reports for different relevant users of investigation results.
• Oversee that the actuarial investigation results are correctly interpreted and applied.

• Assist with reviewing and monitoring risk mitigating tasks or measures.

• Contribute to the development and implementation of departmental policy, procedures and processes.
• Keep up to date with effective policy and practice execution strategies.

• Prepare and submit reports as and when required to provide progress updates and / or inform management decisions.
• Develop reports / policies / procedures and guide the process through the alignment of the documents to the overall RAF’s Strategy.
• Develop functional reporting systems, for management, projects or performance reporting.

• Facilitate and manage communication with relevant internal and external stakeholders in relation to investments and proactively and progressively manage the relationships.
• Manage relationships with vendors, service providers or procurement teams and ensure that all relevant procured items are invoiced and paid on time.
• Communicate with all levels of stakeholder contact.
• Represent the Fund in relevant external activities and events.

• Ensure the sourcing, development and retention of a high-performance team.
• Manage staff in the department to ensure that they achieve their objectives in line with the strategic objectives of the RAF. Manage the implementation of human capital processes and procedures to control / regulate workplace conflict and / or institute corrective measures and consultation processes to address deviations from standards.
• Allocate, direct, motivate and evaluate subordinates to help them achieve their individual goals.

• Bachelor’s Degree / Advanced Diploma in Actuarial Science / Mathematics related qualification.
• Postgraduate in Actuarial Science / Mathematics related qualification will be an added advantage.
• At least eight (8) professional actuarial exam passes / exemptions will be an added advantage.
• Relevant 6 - 8 years’ experience in Actuarial environment of which 2 years must have been on a management / supervisory level
• Research / Data Analysis jobs

About Our Client

Our client is a global data intelligence company providing accurate and comprehensive information about millions of businesses worldwide. Their mission is to fuel insights and decision-making across industries with speed, scale, and accuracy.

Role Overview

We are looking for a
detail-oriented and analytical Data Entry Specialist – Data Mining Analyst
to join our client's dynamic data operations team. You will play a vital role in ensuring accuracy, consistency, and quality of the vast datasets that drive business and client solutions. While this role does not involve direct client interaction,
strong English comprehension
is required to interpret complex company records, documents, and instructions.

Key Responsibilities

• Review, validate, and enter company data with speed and precision.
• Interpret and process English-language company documents, instructions, and records.
• Track, clean, and maintain data to ensure consistency and quality.
• Perform data mining and analysis to identify patterns, anomalies, and trends.
• Collect and organize data from both structured and unstructured sources.
• Troubleshoot data-related issues to maintain data integrity.
• Support process improvements to enhance data quality, automation, and efficiency.

Tools Used

• Proprietary browser-based software
• Perplexity Pro
• Google Suite (Docs, Sheets, Gmail, Chat)
• Zoom (for collaboration)
• Potential future use of Jira

Qualifications

• Strong English reading comprehension and attention to detail.
• Proven experience in
  data entry, data validation, or data analysis
  roles.
• Proficiency with Google Sheets/Excel.
• Analytical mindset with the ability to spot patterns and discrepancies.
• Ability to work independently with minimal supervision.

Preferred

• Experience working with large-scale datasets.
• Knowledge of data quality control techniques.
• Comfortable in a
  fast-paced, metrics-driven
  environment.

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication