Minimum requirements: Matric Valid Drivers license Strong Microsoft 365 skills. Experience working with SharePoint (Essential) Experience with data capturing, analysing data, and creating reports. Strong administrative and organisational skills. Experience with ISO 9001 processes and documentation will be advantageous. Consultant: Caitlin Kotze – Dante Personnel East Rand
This role demands a self-starter who takes full ownership of the data lifecycle from ingestion and cleansing through to modelling, visualisation, and stakeholder reporting while maintaining rigorous data quality standards and complying with relevant legislation including POPIA (South Africa) and GDPR (United Kingdom) Minimum requirements: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or equivalent 36 years of demonstrated experience in a data analyst or business intelligence role Proven track record delivering analysis and reporting within multi-project or fast-paced environments Experience working with both structured databases and unstructured data sources Demonstrable ability to work independently and manage competing priorities without close supervision Key responsibilities: Data analysis & reporting Data engineering & management Cross-jurisdictional collaboration Initiative & continuous improvement: Identify inefficiencies in existing data processes and propose or implement improvements independently Stay current with emerging tools, techniques, and best practices in data analytics and engineering Document methodologies, code, and analytical logic to enable knowledge transfer and repeatability Mentor junior analysts where applicable and contribute to a culture of data literacy across the organisation Preferred experience: Experience supporting or working within organisations operating across multiple countries or time zones Background in financial services, retail, logistics, professional services, or technology sectors Exposure to Agile / Scrum project methodologies; comfort with sprint-based delivery and rapid iteration Prior involvement in data migration, system integration, or ERP/CRM implementation projects Hands-on experience with POPIA compliance (SA) and/or GDPR data handling requirements (UK) Professional Certifications (advantageous): Microsoft Certified: Data Analyst Associate (PL-300) Microsoft Certified: Azure Data Engineer Associate (DP-203) Google Professional Data Engineer or AWS Certified Data Analytics dbt Analytics Engineering Certification IIBA Certificate in Business Analysis (CCBA / CBAP) Working conditions and special requirements: Work will be mainly be based on site at the office in Paarl Availability to attend virtual meetings with UK-based stakeholders during overlap hours (typically 08:0011:00 A time / 07:0010:00 UK time for BST; adjust for GMT) May be required to support quarterly reporting cycles, system upgrades, or project cutover periods outside standard hours Must be comfortable operating in a high-change environment where project scope, tools, or data sources may evolve rapidly Reliable internet connectivity and a suitable home office setup required for remote/hybrid work A valid South African identity document or work authorisation is required. UK right-to-work documentation required for any UK-based engagements Consultant: Stephnie Taljaard – Dante Personnel Cape Town
The Data Analyst will evaluate the current state of master data in the existing ERP system, identify data quality issues, and prepare the data for migration to the new ERP cloud platform. This includes cleansing, transforming, and documenting the data to meet migration and operational requirements. What you'll do: Data Assessment and Profiling Analyse the current master data across all relevant domains (e.g., Customers, Suppliers, Products, Chart of Accounts). Profile the data to identify issues such as duplicates, incomplete records, outdated entries, and inconsistencies. Generate reports summarizing the quality and completeness of the master data. Data Cleansing Work with business stakeholders to define rules for data standardization (e.g., naming conventions, format consistency). Remove duplicate records and merge conflicting data based on defined rules. Validate and update missing or inaccurate data through stakeholder consultation or external enrichment sources. Data Mapping Collaborate with the migration team to map existing master data fields to the new ERP cloud structure. Ensure alignment with the new system's data requirements, including mandatory fields, data types, and formats. Document mapping rules and transformations for all master data domains. Data Transformation Use tools like Excel, SQL, or ETL platforms to transform data based on mapping and cleansing requirements. Prepare datasets in a format compatible with the new ERP cloud platform's data migration templates. Stakeholder Collaboration Engage with business process owners, data stewards, and IT teams to understand master data usage and requirements. Communicate findings and obtain approvals for data cleansing and mapping decisions. Provide regular updates to project managers and migration leads. Data Validation and Testing Validate the transformed data to ensure it meets business and migration requirements. Perform reconciliation between the source system and migrated data to ensure completeness and accuracy. Participate in mock migrations and testing cycles to identify and resolve data-related issues. Documentation Document all processes, including profiling, cleansing, mapping, and validation steps. Create data dictionaries and metadata records for future reference. Provide a final report summarizing the readiness of the master data for migration. Your Expertise: Proficiency in data analysis tools (e.g., Excel, SQL, Power BI). Experience with ERP systems (preferably both legacy systems and ERP cloud platforms like SAP, Oracle, or Microsoft Dynamics). Knowledge of data quality management and cleansing techniques. Strong understanding of master data domains (e.g., Customers, Suppliers, Products). EAM knowledge and experience a must have for the fixed asset cleansing and projects migration. Excellent communication and documentation skills. Ability to collaborate with technical and business teams. Experience in on prem ERP migration to Fusion
A leading global organisation specialising in digital solutions within the online entertainment and technology space. The company is dedicated to developing secure, high-performing platforms that offer exceptional user experiences, driven by innovation, collaboration, and advanced technologies. They are currently seeking a Data Analyst to join their team and help turn data into actionable insights that drive business decisions and improve operational efficiency.
Key Responsibilities: Collect, clean, and validate data from multiple sources. Analyze datasets to identify trends, patterns, and anomalies. Develop and maintain dashboards, reports, and visualizations. Translate business requirements into analytical solutions. Support decision-making with data-driven insights and recommendations. Work closely with stakeholders to understand reporting needs. Ensure data accuracy, consistency, and integrity. Automate recurring reports and analytical processes where possible. Job Experience and Skills Required: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL. Experience with data visualization tools (e.g. Power BI). Solid understanding of statistical analysis and data modelling. Advanced Excel skills. Strong analytical thinking and problem-solving abilities. Ability to communicate complex data insights clearly to non-technical audiences. Apply now!
Key Duties and Responsibilities As a Data Analyst, youll play a key role in turning raw data into powerful business intelligence by: Collecting, cleaning, and validating data from multiple sources Analyzing datasets to uncover trends, patterns, and anomalies Building and maintaining dashboards, reports, and visualizations Translating business needs into clear analytical solutions Supporting decision-making with data-driven insights and recommendations Collaborating with stakeholders to understand reporting requirements Ensuring data accuracy, consistency, and integrity Automating recurring reports and analytical processes Essential Skills and Qualifications Qualifications & Experience: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field Proven experience as a Data Analyst or similar role Strong proficiency in SQL Advanced skills in Excel Experience with Power BI or similar data visualization tools Solid understanding of statistical analysis and data modelling Ability to communicate complex insights clearly to non-technical audiences Technical Skills: Your Toolkit SQL Excel Power BI Data warehousing concepts Nice to Have Experience in the security industry Familiarity with cloud platforms (AWS, Azure, or Google Cloud) Personal Attributes Highly detail-oriented with a passion for accuracy Naturally curious with an insight-driven mindset Strong time management and organizational skills Able to work both independently and collaboratively What is in it for you . Be part of a forward-thinking environment where your analytical skills will make a real difference. If you enjoy working with data, solving complex problems, and influencing business decisionsthis is the role for you. Apply Now.
A well-established organisation in Johannesburg is seeking a skilled Data Analyst to join their team. If you are experienced in collections or payment data analytics and can translate complex datasets into actionable insights, this is an exciting opportunity to make a tangible impact on recovery strategies and operational performance. Minimum requirements: Relevant qualification in Data Analytics, Statistics, Finance, Mathematics, or a related field 5 years experience in data analysis within collections, financial services, or payment analytics Strong analytical and problem-solving skills Experience working with large financial datasets Ability to translate complex data into actionable insights Strong attention to detail and reporting accuracy Systems / Platforms (Advantageous): Experian XDS / Compuscan Consumer Profile Bureau (CPB) Stripe European Merchant Services (EMS) Key Responsibilities : Analyse historical payment behaviour and debtor data to identify trends and patterns Develop predictive models to forecast repayment behaviour and delinquency risk Segment debtor accounts based on risk profiles and probability of repayment Identify the optimal communication timing and channel for debtor engagement Track and analyse key performance metrics including recovery rates and engagement levels Analyse payment reports and transaction data to identify operational improvements Monitor metrics such as authorization rates, chargebacks and transaction trends Provide actionable insights to improve collections strategies and operational efficiency Consultant: Chante Pienaar – Dante Personnel Pretoria Faerie Glen
