The Opportunity We have an exciting opportunity for a top-performing Data Analyst to join our team. In this role, you will leverage data to drive strategic business decisions and gain practical experience with cutting-edge data practices. This is a chance to grow your skills while contributing to projects that matter. What Youll Do (Key Responsibilities) Analysis & Reporting: Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform business strategy. Develop, maintain, and enhance interactive dashboards, reports, and data visualizations to communicate findings to stakeholders effectively. Manage and optimize data pipelines to ensure the integrity and availability of data for analysis. Work closely with developer teams to support data integration and automation processes. Utilize Azure cloud services for efficient data storage, processing, and analysis. Employ statistical tools and programming languages like R and Python to conduct complex analyses. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Assist in the development and implementation of predictive models and algorithms. Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences. Ensure all data practices comply with company policies and industry standards for security and integrity. A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong programming proficiency in Python and R. A solid understanding of basic data analysis techniques and statistical methodologies. Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way. Previous internship or project experience in data analysis or a related technical field. Familiarity with cloud services, specifically Azure. Experience with data visualization tools (e.g., Power BI, Tableau). A foundational understanding of machine learning concepts and algorithms. Technical Collaboration: Manage and optimize data pipelines to ensure the integrity and availability of data for analysis. Work closely with developer teams to support data integration and automation processes. Utilize Azure cloud services for efficient data storage, processing, and analysis. Employ statistical tools and programming languages like R and Python to conduct complex analyses. Strategy & Communication: Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Assist in the development and implementation of predictive models and algorithms. Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences. Ensure all data practices comply with company policies and industry standards for security and integrity. What You’ll Bring (Qualifications & Skills) Required: A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong programming proficiency in Python and R. A solid understanding of basic data analysis techniques and statistical methodologies. Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way. Preferred (Bonus Points): Previous internship or project experience in data analysis or a related technical field. Familiarity with cloud services, specifically Azure. Experience with data visualization tools (e.g., Power BI, Tableau). A foundational understanding of machine learning concepts and algorithms. What We Offer A competitive market-related salary and benefits package. An opportunity to be part of a dynamic and impactful team focused on innovation. Valuable exposure to cutting-edge data practices in a forward-thinking organization.

The Opportunity We have an exciting opportunity for a top-performing Data Analyst to join our team. In this role, you will leverage data to drive strategic business decisions and gain practical experience with cutting-edge data practices. This is a chance to grow your skills while contributing to projects that matter. What Youll Do (Key Responsibilities) Analysis & Reporting: Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform business strategy. Develop, maintain, and enhance interactive dashboards, reports, and data visualizations to communicate findings to stakeholders effectively. Manage and optimize data pipelines to ensure the integrity and availability of data for analysis. Work closely with developer teams to support data integration and automation processes. Utilize Azure cloud services for efficient data storage, processing, and analysis. Employ statistical tools and programming languages like R and Python to conduct complex analyses. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Assist in the development and implementation of predictive models and algorithms. Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences. Ensure all data practices comply with company policies and industry standards for security and integrity. A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong programming proficiency in Python and R. A solid understanding of basic data analysis techniques and statistical methodologies. Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way. Previous internship or project experience in data analysis or a related technical field. Familiarity with cloud services, specifically Azure. Experience with data visualization tools (e.g., Power BI, Tableau). A foundational understanding of machine learning concepts and algorithms. Technical Collaboration: Manage and optimize data pipelines to ensure the integrity and availability of data for analysis. Work closely with developer teams to support data integration and automation processes. Utilize Azure cloud services for efficient data storage, processing, and analysis. Employ statistical tools and programming languages like R and Python to conduct complex analyses. Strategy & Communication: Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Assist in the development and implementation of predictive models and algorithms. Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences. Ensure all data practices comply with company policies and industry standards for security and integrity. What You”ll Bring (Qualifications & Skills) Required: A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong programming proficiency in Python and R. A solid understanding of basic data analysis techniques and statistical methodologies. Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way. Preferred (Bonus Points): Previous internship or project experience in data analysis or a related technical field. Familiarity with cloud services, specifically Azure. Experience with data visualization tools (e.g., Power BI, Tableau). A foundational understanding of machine learning concepts and algorithms. What we Offer: A competitive market-related salary and benefits package. An opportunity to be part of a dynamic and impactful team focused on innovation. Valuable exposure to cutting-edge data practices in a forward-thinking organisation.

Company and Job Description: Our client is a dynamic and innovative company committed to driving performance through data-led decision-making. They are looking for a Data Analyst who is eager to dive deep into data, uncover trends, and provide actionable insights that influence strategy. This is an exciting opportunity to be part of a business that values innovation, collaboration, and growth. If youre keen to work with cutting-edge tools and make a real impact, this role is for you! Key Responsibilities: Collect, align, and interpret business performance data across multiple units. Build interactive dashboards and dynamic data views using Power BI . Leverage AI and machine learning techniques to detect trends and patterns. Provide insightful reports and recommendations to support business decision-making. Job Experience and Skills Required: Education: Degree in Mathematics, Statistics, Data Science, Computer Science, or a related field. Experience: At least 2 years experience as a Data Analyst (or similar role). Skills: Strong proficiency in Power BI, Excel, and SQL. Knowledge of Python or R will be an added advantage. Ability to translate complex data into clear, actionable insights. Strong analytical, problem-solving, and communication skills. Apply now!

Are you passionate about transforming data into meaningful insights and leveraging AI and machine learning to drive smarter decision-making? Were looking for a driven Data Analyst to join a dynamic team in Pretoria. What Youll Do: Align, visualize, and interpret business performance data across units. Build interactive dashboards and dynamic data views using Power BI. Leverage AI & machine learning techniques to detect trends, forecast outcomes, and optimize reporting. Manage data warehouses and ensure the accuracy of business-critical reports. Partner with business stakeholders to translate requirements into actionable insights. Continuously research and deploy the latest BI tools and best practices. What Were Looking For: A Degree in Computer Science, Statistics, Mathematics, Analytics, or a related field. 3 years experience in data analytics, preferably within financial services or a similar environment. Proficiency in Power BI, SQL, and Excel. Experience with data extraction, visualization, and dashboard design. Exposure to AI/ML concepts and their application in data analysis. Strong analytical, detail-oriented mindset with excellent communication skills. Whats In It For You?: Opportunity to apply both traditional BI and cutting-edge AI/ML in real-world business solutions. Work in a collaborative environment where your insights directly impact strategic decisions. Flexibility: Willingness to adapt working hours during peak periods. If youre ready to take your data career to the next level with AI and machine learning, wed love to hear from you!