98 Data Specialist jobs in South Africa

Data Specialist (POS25126)
Based: Somerset West
Salary: R pm - R pm negotiable depending on experience
Job Purpose:
The successful candidate will be responsible for managing the migration process of clients and ensuring the accurate and on-time upload of financial data.
Requirements
Managing customer migration projects.
Creating and managing migration plans with clients.
Managing data migrations with the take-on teams.
Reporting on migration progress of all projects to the rest of the team.
Using advanced technical skills and custom tools to efficiently manipulate and migrate client data into their software.
Working directly with clients to effectively coordinate each migration project to completion.
Monitoring all work for quality while troubleshooting and resolving errors as need be.
Communicating process successes and failures to internal and external stakeholders to identify potential areas of improvement and action to ensure that the migration project stays on track.
Providing customer support, resolving customer queries, recommending solutions, and guiding users through features and functionalities on the system.
Providing data clarification and training to onboarding customers.

Experience and Knowledge of:
Experience in data analysis and processing will be advantageous.
Strong knowledge of advanced Excel and attention to detail is required.
Proficiency in Microsoft Word, Outlook, and PowerPoint.
Financial/accounting experience or background will be advantageous.
Good general IT knowledge is required.
Customer service/support experience will be advantageous.
MySQL experience will be advantageous.
Experience in administration management.

Closing Date: 15 February 2025
Please only submit CV if you meet ALL the requirements. Only shortlisted candidates will be contacted.

Data Specialist (POS25126)
Based: Somerset West
Salary: R pm - R pm negotiable depending on experience
Job Purpose:
The successful candidate will be responsible for managing the migration process of clients and ensuring the accurate and on-time upload of financial data.
Requirements
Managing customer migration projects.
Creating and managing migration plans with clients.
Managing data migrations with the take-on teams.
Reporting on migration progress of all projects to the rest of the team.
Using advanced technical skills and custom tools to efficiently manipulate and migrate client data into their software.
Working directly with clients to effectively coordinate each migration project to completion.
Monitoring all work for quality while troubleshooting and resolving errors as need be.
Communicating process successes and failures to internal and external stakeholders to identify potential areas of improvement and action to ensure that the migration project stays on track.
Providing customer support, resolving customer queries, recommending solutions, and guiding users through features and functionalities on the system.
Providing data clarification and training to onboarding customers.

Experience and Knowledge of:
Experience in data analysis and processing will be advantageous.
Strong knowledge of advanced Excel and attention to detail is required.
Proficiency in Microsoft Word, Outlook, and PowerPoint.
Financial/accounting experience or background will be advantageous.
Good general IT knowledge is required.
Customer service/support experience will be advantageous.
MySQL experience will be advantageous.
Experience in administration management.

Closing Date: 15 February 2025
Please only submit CV if you meet ALL the requirements. Only shortlisted candidates will be contacted.

• Assist with the preparation and maintenance of datasets used in internal and client reporting.
• Learn and apply basic data transformation and automation using SQL, VBA, and Python.
• Support regular reporting cycles by helping to generate and review standard reports.
• Contribute to data checks and process documentation under supervision.
• Participate in projects aimed at improving reporting accuracy, speed, and usability.

• South African unemployed youth between the ages of 18 and 34.
• Must not have previously participated in the YES Programme.
• Matric
• A completed Bachelors degree or diploma in one of the following fields:
  
  • Data Science
  • Computer Science
  • Information Technology
  • Statistics / Mathematics
  • Economics / Business Analytics
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Familiarity with relevant industry standards, regulations, and compliance requirements.
• No formal work experience required , but familiarity or academic exposure to the following would be advantageous:
  
  • Microsoft Excel (including formulas/macros)
  • SQL or any form of database interaction
  • Python (especially for automation)

Company Description

About Kaelo

Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the Healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Insurance, Medical Aid, Gap Insurance, Kaelo Money and employee assistance programmes.

Job Description

The Data Specialist plays a critical role in managing, analysing, and interpreting data related to the Kaelo Lifestyle Employee Assistance Programme, lifestyle services, and client support. The Data Specialist will be responsible for collecting, organising, analysing and interpreting large sets of data to provide actionable insights that support decision-making, operational efficiency, and strategic planning. The role involves ensuring data accuracy, building reports, developing dashboards, and assisting in data governance and compliance.

Key Responsibilities

Data Management & Quality

• Collect, clean, and validate datasets to ensure accuracy and reliability
• Maintain and update data systems and databases, correcting errors where necessary.
• Ensuring compliance with data privacy and protection regulations.

Data Analysis & Reporting

• Analyse data trends and patterns to generate insights for business units
• Develop and maintain dashboards, reports and visualisations.
• Provide regular and ad hoc reporting to management and stakeholders.

Support Business Decisions

• Work with teams to identify key metrics and translate business needs into data requirements.
• Provide data-driven recommendations to improve processes, efficiency and service delivery.

Collaboration & Technical Support

• Partner with IT and system administrators to ensure optimal data integration.
• Train and support business users on data tools and best practices.
• Document processes, data definitions and reporting standards.

Qualifications

Qualification & Experience

• Bachelor's degree in Data Science, Information Systems, Statistics, Computer Science or related field.
• Minimum of 4 years' experience in a data analysis, business intelligence, or reporting role.
• Strong knowledge of SQL, Excel, and at least one BI tool.
• Experience with data cleaning, transformation, and visualisation techniques.
• Familiarity with data governance, compliance and data privacy standards.

Skills & Competencies

• Analytical mindset with strong problem solving skills.
• High attention to detail and accuracy.
• Strong organizational and time management skills.
• Ability to communicate complex data in a clear and simple way.
• Team player who can also work independently.
• Proactive, curious and eager to learn new technologies.
• Advanced Microsoft Excel analytical skills
• Experience and proficiency in SSIS for designing and building ETL (Extract, Transform, Load) packages to clean, transform, and load data from various sources into the database.
• Experience and proficiency in SSRS for creating, deploying, and managing reports for stakeholders.
• Experience in Data Visualisation Tools such as Microsoft Power BI.
• Experience in Cloud Platforms such as Microsoft Azure or Google Cloud Platform
• Knowledge of services such as Azure Synapse, Google Looker Studio, Google Big Query

Key Performance Indicators

• Accuracy and timelines of reports and dashboards.
• Data integrity and compliance with governance standards.
• Stakeholder satisfaction with data insights provided.
• Contribution to data-driven decision making and process.

Additional Information

• Accountability
• Action orientated
• Collaborative
• Communication
• Business writing skills
• Manage complexity
• Problem solving skills
• Decision thinking
• Encourages engagement
• Resilient and adaptive
• Resourceful
• Demonstrates self-awareness
• Purpose driven
• Significance and values orientated

About the Role

We are looking for a Senior Data Specialist with strong expertise in SQL, Excel, and Power BI — a true king or queen of data analysis and manipulation. This role will play a critical part in auditing our billing team, driving revenue assurance, and ensuring data integrity across the business.

In the first six months, the focus will be on cleaning, validating, and auditing data to strengthen our financial and operational reporting. Once this initial phase is complete, the role will evolve to focus more heavily on Power BI development, advanced analytics, and driving insights that support strategic decision-making.

Key Responsibilities

• Audit and validate data from the billing team to ensure accuracy and compliance.
• Perform detailed data analysis to identify discrepancies, trends, and opportunities for revenue assurance.
• Clean, structure, and manipulate complex datasets using SQL and Excel.
• Develop dashboards and visualizations in Power BI to support decision-making across the business.
• Partner with Finance, Operations, and other teams to deliver accurate, timely, and insightful reporting.
• Recommend and implement process improvements to enhance data accuracy and efficiency.
• Support ongoing projects by providing analytical insights and robust data models.

Skills & Experience

• Proven experience as a Data Analyst, Data Specialist, or similar role.
• Strong proficiency in SQL, Excel, and Power BI.
• Excellent skills in data cleaning, transformation, and manipulation.
• Ability to audit datasets and identify inconsistencies with precision.
• Experience working with financial, billing, or revenue data is highly desirable.
• Strong attention to detail and ability to manage large, complex datasets.
• Effective communicator, able to present technical insights clearly to non-technical stakeholders.
• Strong problem-solving mindset and a drive for continuous improvement.

Job Type: Full-time

Pay: R45 000,00 - R60 000,00 per month

Work Location: In person

We are looking for AI Data Specialist to support the improvement of AI-generated content in English.

Job Type:
Freelance

Location:
Remote in
South Africa
Work Schedule:
Part-time. Flexible, work whenever you want

Start Date:
Immediately

Duration:
Until the end of December 2025 (an extension is possible)

Rate:
8 USD/hour

Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today's AI models?

What You'll Do
The role involves performing diverse data-related tasks, including:

• Data collection, evaluation, and annotation
• Pairwise comparisons
• Counting tasks
• Object tagging and labeling across different content types (audio, video, images, or collected data)

Important:
The use of AI tools or Large Language Models (LLMs) to complete assigned tasks is strictly prohibited. Any use of such tools will be considered a violation of the project requirements, resulting in non-payment and immediate removal from the project.
What we're looking for:**

• English Proficiency: Advanced proficiency in English at B2, C1, C2, or Native level
• AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling

What We Offer

• 100% remote work
• Flexible schedule
• Opportunity to earn extra income
• Timely payments
• The job is ideal for students, part-timers, or stay-at-home parents

Please apply using a
GMAIL account
if you have one.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Understand reporting and operational requirements   Develop an understanding of the collections business concepts to be able to match them to appropriate data30%   To Estimate Development Time & Report on project progress and planning   Meet milestones   Writing of Documentation   5%   This includes, but is not limited to the following:   Required documents for deploying SSIS and SSAS packages   Operational Documentation   Help Documentation   Develop Technical competence in:   10%   SSIS to be able to extract, transform and load information   SSAS for the development of cubes.   Any other Microsoft Software deemed necessary for reporting   Apply all IT requirements in terms of:   5%   Database access policies   Deployment requirements   Development lifecycle policies   Development Requirements   45%   Own and manage DMC Owned Asset contract import process, including preparation of data and recommendations for improving availability of dataPreparation of all data import and processing for the DMC Owned Asset pricing process   Develop and maintain live packages to be used in the DMC operational collections including but not limited to:   Communication, Interpersonal Relationships & Leading the Team5%   Develop and Maintain a good relationship with all business units within and outside of DMC   Develop and Maintain open communication with all business units within and outside of DMC   Develop and Maintain trust, open communication and a good relationship with the team   Guiding the team to Live the DMC values on a daily basis   Manage regular feedback between business and team on projects/tasks   To perform any other functions over and above the ones listed as requested by Management   

Relevant Tertiary qualification i.e. Degree/ Diploma/ Microsoft MCSD/ MCSE. Min 5 years experience in Microsoft SQL Server and MS Visual Studio, SSIS, SSAS, SSRS. Min 2 years experience in supervising/ managing a team or proven performance as a Data Analyst (taking on extra responsibility, continuously delivering above expectation). Good communication and interpersonal skills.

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
Absa Internal Audit (IA) is looking for a dynamic, innovative and motivated individual to enable and support IA with continuous analysis, data mining and insight generation for IA reporting and planning purposes. The successful individual should have IA experience, and knowledge of IA controls and organisational risk management practices, within the Financial Services industry. The individual will need to leverage deep data science expertise in data mining, data analysis, feature engineering, predictive modeling, storytelling, data visualisation, machine learning tools and data intuition to define, build, operationalise and continuously improve data solutions that deliver relevant, quality assured, accurate and commercially impactful data for IA reporting and planning purposes.

Job Description
Key accountabilities

• Advanced Internal Audit (IA) experience, and focused understanding of internal controls and organisational risk management practices to support complete, accurate and valid IA reporting and planning.
• Continuous analysis of IA data, and development of relevant insights (including trends and predictive analysis) for IA reporting and planning.
• Advanced understanding of IA root cause and issue management analysis to provide timely and relevant information for reporting and planning.
• Continuously seeking new and improved ways for data extraction and consumption by relevant IA stakeholders for reporting and planning.
• Advanced understanding of available data analysis and machine learning tools to support robust and forward-thinking insight generation for reporting and planning.
• Adopting of agile work practices and working closely with senior members of the IA team to collate, consolidate and visually present data-led insights for reporting and planning.
• Participate in design thinking processes to determine and confirm priority IA questions/ data challenges to be solved for, by translating these into data requirements and defined data-led solutions for reporting and planning.
• Design fit for purpose data interpretation and analysis approaches, and create customised data models, algorithms, machine learning tools and recommendation engines to achieve the desired IA outcomes for reporting and planning,
• Use advanced data science skills to mine and interpret IA data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering and predictive modeling, distributed computing, machine learning tools and data intuition, to analyse and interpret complex IA data-sets for reporting and planning.
• Ability to apply quality assurance frameworks to test model and analysis techniques (e.g. algorithms, models) to support the quality and integrity of IA data used for reporting and planning.
• Produce business insights and recommendations based on data analysis and modeling concluded, and where relevant with knowledge and experience of e.g. Java, Scala, Python, Hadoop, Apache Spark, Kafka or similar.
• Use storytelling and data visualisation techniques to maximize impact and deliver a user-friendly product for reporting and planning.
• Contribute to the consolidation of data solutions into viable end products (in IA business-language) that can be leveraged on an ongoing basis e.g. dashboards, reports etc.
• Present data analysis (trends, insights, forecasts) and findings to IA, to show tangible business impact to be derived from the data science process.
• Where applicable, to facilitate peer reviews and feedback on new data solutions for reporting and planning.
• Where applicable, contribute to the assessments of the effectiveness and accuracy of new data sources and data gathering techniques.
• As far as possible, to promote data literacy within IA by sharing best practices and showing tangible business impact and recommendations as a direct result of the data solutions provided.
• Stay ahead of the curve on data science trends and leading practice data science tools and techniques, and be able to transition IA to advanced methods for the continuous optimisation of a data-led environment.
• Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-wide Risk Management Framework and Absa Policies and Policy Standards.
• Understand and manage risks and risk events (incidents) relevant to this role.

Experience/ Requirements:

• Internal Audit (IA) background/ experience (Preference - Internal Auditor).
• Advanced knowledge of IA controls, language and organisational risk management practices.
• Experience in the Financial Services industry.
• Data Analysis and statistical reporting.
• Experience managing people (small to medium size teams).
• Results and output-orientated.
• Ability to learn quickly.
• Have a logical approach to problem solving.
• Able to work closely and build excellent relationships with key stakeholders.
• Able to manage, develop and mentor less experienced members of the team.
• Effective communication skills.

Potential Qualifications:
Relevant Business-related Degree or Tertiary Technical Degree, in:

• Actuarial Sciences, or
• Data Analytics and Data Sciences, or
• Internal Auditing, or
• Chartered Accountant (CA(SA)), or
• Masters in Business Administration (MBA).

Years of Experience:
Minimum Of 5 Years-experience
Education
National Diplomas and Advanced Certificates: Banking, National Diplomas and Advanced Certificates: Business Management, National Diplomas and Advanced Certificates: Information Technology, National Diplomas and Advanced Certificates: Risk Management

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

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

Absa Internal Audit (IA) is looking for a dynamic, innovative and motivated individual to enable and support IA with continuous analysis, data mining and insight generation for IA reporting and planning purposes. The successful individual should have IA experience, and knowledge of IA controls and organisational risk management practices, within the Financial Services industry. The individual will need to leverage deep data science expertise in data mining, data analysis, feature engineering, predictive modeling, storytelling, data visualisation, machine learning tools and data intuition to define, build, operationalise and continuously improve data solutions that deliver relevant, quality assured, accurate and commercially impactful data for IA reporting and planning purposes.

Job Description

Key accountabilities

• Advanced Internal Audit (IA) experience, and focused understanding of internal controls and organisational risk management practices to support complete, accurate and valid IA reporting and planning.
• Continuous analysis of IA data, and development of relevant insights (including trends and predictive analysis) for IA reporting and planning.
• Advanced understanding of IA root cause and issue management analysis to provide timely and relevant information for reporting and planning.
• Continuously seeking new and improved ways for data extraction and consumption by relevant IA stakeholders for reporting and planning.
• Advanced understanding of available data analysis and machine learning tools to support robust and forward-thinking insight generation for reporting and planning.
• Adopting of agile work practices and working closely with senior members of the IA team to collate, consolidate and visually present data-led insights for reporting and planning.
• Participate in design thinking processes to determine and confirm priority IA questions/ data challenges to be solved for, by translating these into data requirements and defined data-led solutions for reporting and planning.
• Design fit for purpose data interpretation and analysis approaches, and create customised data models, algorithms, machine learning tools and recommendation engines to achieve the desired IA outcomes for reporting and planning,
• Use advanced data science skills to mine and interpret IA data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering and predictive modeling, distributed computing, machine learning tools and data intuition, to analyse and interpret complex IA data-sets for reporting and planning.
• Ability to apply quality assurance frameworks to test model and analysis techniques (e.g. algorithms, models) to support the quality and integrity of IA data used for reporting and planning.
• Produce business insights and recommendations based on data analysis and modeling concluded, and where relevant with knowledge and experience of e.g. Java, Scala, Python, Hadoop, Apache Spark, Kafka or similar.
• Use storytelling and data visualisation techniques to maximize impact and deliver a user-friendly product for reporting and planning.
• Contribute to the consolidation of data solutions into viable end products (in IA business-language) that can be leveraged on an ongoing basis e.g. dashboards, reports etc.
• Present data analysis (trends, insights, forecasts) and findings to IA, to show tangible business impact to be derived from the data science process.
• Where applicable, to facilitate peer reviews and feedback on new data solutions for reporting and planning.
• Where applicable, contribute to the assessments of the effectiveness and accuracy of new data sources and data gathering techniques.
• As far as possible, to promote data literacy within IA by sharing best practices and showing tangible business impact and recommendations as a direct result of the data solutions provided.
• Stay ahead of the curve on data science trends and leading practice data science tools and techniques, and be able to transition IA to advanced methods for the continuous optimisation of a data-led environment.
• Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-wide Risk Management Framework and Absa Policies and Policy Standards.
• Understand and manage risks and risk events (incidents) relevant to this role.

Experience/ Requirements:

• Internal Audit (IA) background/ experience (Preference - Internal Auditor).
• Advanced knowledge of IA controls, language and organisational risk management practices.
• Experience in the Financial Services industry.
• Data Analysis and statistical reporting.
• Experience managing people (small to medium size teams).
• Results and output-orientated.
• Ability to learn quickly.
• Have a logical approach to problem solving.
• Able to work closely and build excellent relationships with key stakeholders.
• Able to manage, develop and mentor less experienced members of the team.
• Effective communication skills.

Potential Qualifications:

Relevant Business-related Degree or Tertiary Technical Degree, in:

• Actuarial Sciences, or
• Data Analytics and Data Sciences, or
• Internal Auditing, or
• Chartered Accountant (CA(SA)), or
• Masters in Business Administration (MBA).

Years of Experience:

Minimum of 5 years-experience

Education

National Diplomas and Advanced Certificates: Banking, National Diplomas and Advanced Certificates: Business Management, National Diplomas and Advanced Certificates: Information Technology, National Diplomas and Advanced Certificates: Risk Management

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