Join a forward-thinking analytics environment where data science is not just a support function its the engine that drives client strategy and business direction. Youll work on complex datasets, advanced statistical modelling, AI-driven automation, and scalable data systems that enable high-value insights for top-tier clients. This role gives you the freedom to apply modern methodologies, influence decision-making, and build solutions that integrate global best practice. Youll be part of a collaborative, innovation-focused team that continuously pushes the boundaries of whats possible in analytics. If you have not had any response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for any other suitable roles. For more information, contact:

Role Summary: The Data Analyst will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across the organisation. This role requires a strong analytical mindset and proficiency in data visualisation. The ideal candidate will bridge the gap between data and business. Responsibilities: Develop and maintain dashboards and reports to support business operations and strategic decisions. Perform ad-hoc analysis to answer key business questions. Apply best practices in data, aggregation, and visualisation to ensure performance and scalability Support the creation of extractors and data views for integration with third-party vendors Ensure the consistency and security of shared data while maintaining traceability and compliance Collaborate with data engineers to ensure data pipelines are optimised for reporting and analytics. Ensure data quality, integrity, and governance across systems. Support data science initiatives by preparing datasets and contributing to model development. Identify opportunities to apply AI/ML to improve business processes. Work closely with business units to understand data needs and translate them into technical requirements. Present insights and recommendations to non-technical stakeholders. Identify and implement improvements in BI processes, tools, and methodologies. Qualifications: Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field 5 years of experience in business intelligence, reporting, or data analysis Proven experience with BI tools (e.g., Power BI, Tableau, Qlik, SAP BusinessObjects BI Suite) Strong SQL skills and experience with data warehousing solutions. Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP). Proficiency in data modelling, reporting tools, and visualisation techniques Strong SQL or Python/R skills and experience with SAP environments Understanding of data governance, quality checks, and performance optimisation Advantageous: Advanced degree (Masters or equivalent) in Data Science, Business Analytics, or related field Experience working with SAP BW/4HANA Understanding of AI/ML concepts and their application in business contexts Exposure to data science tools and languages (e.g., Python, R, Jupiter Notebooks)

Job Description: Design and architect scalable, secure systems and platform solutions Lead development of core automation, reporting and SaaS tools Build applications and APIs to support consulting, research, and reporting functions Develop and enhance SaaS products including ESG tools, economic scenario generators, and modelling modules Implement development best practices including testing, version control, and CI/CD pipelines Integrate internal systems (ALM, ESG, Tender Response, Unit Pricing) with external data sources Partner with internal stakeholders to translate business requirements into technical solutions Mentor and guide junior developers, promoting innovation and best practice Contribute to long-term systems roadmap and technology strategy Ensure systems meet governance, compliance, and data security requirement Document architecture, processes, and code for long-term maintainability Skills & Experience: 610 years experience in software development, with minimum 3 years in a senior or lead developer role Proven experience building scalable enterprise systems or SaaS platforms Strong proficiency in modern programming languages (Python, R, JavaScript/TypeScript or C#) Experience with SQL/relational and NoSQL databases (PostgreSQL, MongoDB) Experience with cloud platforms (AWS/Azure/GCP) and containerisation (Docker, Kubernetes) Exposure to investment or financial systems advantageous. Experience with reporting/data visualisation tools (Power BI, Shiny, Tableau) beneficial. Strong problem-solving and analytical capability. Ability to communicate technical concepts to non-technical teams. Proactive, adaptable, collaborative, and innovative. Ability to multitask and use initiative in a fast-paced environment. Qualification: Bachelors or Masters degree in Computer Science, Software Engineering, or related discipline.

We are seeking a highly skilled Data Analyst to join our innovative analytics team. You will be responsible for collecting, processing, and analyzing complex datasets to generate actionable insights that drive business decisions. This role is ideal for professionals who thrive in data-driven environments, value accuracy and clarity, and enjoy collaborating with cross-functional teams to deliver high-quality, impactful analysis. Key Responsibilities Data Collection & Analysis Collect, clean, and validate data from multiple sources to ensure accuracy and consistency Perform exploratory data analysis to identify trends, anomalies, and opportunities Develop and maintain dashboards, visualizations, and reports using tools such as Power BI, Tableau, or Qlik Conduct statistical analyses to support business decision-making, predictive modeling, and forecasting Collaborate with stakeholders to understand business requirements and translate them into analytical solutions Ensure data quality, integrity, and compliance with governance standards Data Management & Engineering Implement ETL processes to extract, transform, and load data into data warehouses or cloud platforms Work with SQL and NoSQL databases to query, manipulate, and optimize large datasets Assist in designing and maintaining data pipelines for operational and analytical purposes Document data sources, methodologies, and processes for repeatability and auditing Collaboration & Process Improvement Work in an Agile/Scrum environment, participating in sprint planning, stand-ups, and retrospectives Partner with business analysts, product managers, engineers, and other stakeholders to deliver insights Mentor junior data analysts and promote best practices in data analytics and visualization Continuously research and recommend new tools, methodologies, and approaches to improve data quality, analytics efficiency, and insight delivery Requirements & Qualifications Must-Have Skills: 5–6 years of professional experience in data analytics, business intelligence, or data science Strong expertise in SQL and relational databases (PostgreSQL, MSSQL, MySQL) Experience with data visualization tools such as Power BI, Tableau, Qlik, or Looker Proficiency in Python, R, or similar scripting languages for data analysis Solid understanding of statistical methods, data modeling, and predictive analytics Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data warehousing solutions Strong problem-solving, analytical, and critical thinking skills Experience with ETL processes and data pipeline development Highly Desirable Skills: Familiarity with big data technologies such as Spark, Hadoop, or Databricks Knowledge of machine learning concepts and libraries (scikit-learn, TensorFlow, PyTorch) Experience with NoSQL databases (MongoDB, DynamoDB, Cassandra) Understanding of data governance, security, and compliance standards Exposure to Agile methodologies and collaborative analytics workflows Strong communication skills to present complex findings to technical and non-technical stakeholders Education Bachelor’s degree, higher certificate, or diploma in Data Analytics, Statistics, Computer Science, Information Systems, or a related field Additional Information Contract Duration: 12 Months (with possibility of renewal) Salary: Negotiable Location Options: Johannesburg / Cape Town / Remote Must be located in South Africa or have a valid work permit for South Africa