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

Benefits of Applying: Industry Insights Gain access to trends in data roles, tools in demand, and what top companies are looking for. Role Alignment Get matched with positions that suit your analytical strengths, domain expertise, and career goals. Negotiation Support Receive help negotiating salary, benefits, and flexible work arrangements based on market benchmarks. Key Responsibilities: Data Collection & Cleaning Gather data from various sources and ensure it’s accurate, complete, and ready for analysis. Data Analysis & Interpretation Use statistical methods and tools to uncover trends, patterns, and insights. Reporting & Visualization Create dashboards, charts, and reports to communicate findings clearly to stakeholders. Stakeholder Collaboration Work with teams across the business to understand data needs and support decision-making. Job Experience and Skills Required: Bachelors degree Hands-on experience with Data tools like Excel, SQL, Python Hands-on experience with Visualization platforms like Tableau, Power BI or Looker Apply now!

In this role, youll work with advanced tools in Python, SQL, and Azure , applying your analytical expertise to design predictive models, uncover insights, and drive meaningful business value. Youll collaborate with technical and business teams to translate data into actionable strategies, contributing directly to high-impact initiatives. This is an excellent opportunity for a data professional whos ready to take the next step working on cutting-edge projects , in an environment that fosters innovation, growth, and continuous learning . Duties: Perform data exploration, cleaning, and transformation to prepare datasets for analysis and modelling. Develop, train, and evaluate predictive and machine learning models to solve key business challenges. Visualise and present analytical insights, using Power BI or similar tools, to support decision-making. Collaborate cross-functionally with IT, business, and analytics teams to define data requirements and deliver impactful insights. Job Experience and Skills Required: Education: Minimum: Diploma in Data Science, Computer Science, Statistics, Mathematics , or a related field Preferred: Bachelors Degree in Data Science, Computer Science , or similar Experience: 3 years experience in data science, analytics , or statistical modelling Hands-on experience with Python and SQL for data manipulation, analysis, and model development Proficiency with machine learning frameworks (e.g., scikit-learn, TensorFlow, and PyTorch ) Experience with Azure Synapse Analytics or Microsoft Fabric advantageous Strong ability to communicate analytical findings clearly to non-technical audiences Skills: Python SQL Power BI Machine learning Statistical analysis Data wrangling Feature engineering Model optimisation Excellent stakeholder communication and presentation skills Cloud data experience (Azure) beneficial Non-negotiables: Proven ability to deliver end-to-end data science solutions Strong analytical thinking and problem-solving skills