Key Responsibilities: Execute the data visualization and reporting strategy, ensuring accurate, timely, and understandable reports. Develop and design reports, aligned with stakeholder needs and business requirements. Transfer knowledge of reports and dashboards to end users, ensuring self-service analytics adoption. Monitor data quality, resolve conflicts, and act on insights to ensure customer-centricity in your work. Manage your workload, deadlines, and contribute positively to team collaboration. Job Experience and Skills Required: Degree in a quantitative field (Data, Finance, Economics, Statistics, Informatics). Postgraduate qualifications are a bonus. 2 years in data analytics, with strong mathematical and analytical ability (exposure to retail data models is advantageous). Proficient in SAS, SQL, Python, and Microsoft Office; strong attention to detail and problem-solving skills. Must be able to interpret complex data sets and communicate insights effectively to business stakeholders. Apply now!

Are you passionate about uncovering patterns, making sense of numbers, and driving strategic decisions? As a Data Analyst, you have the power to turn raw data into impactful insights that solve real-world problems and create lasting value for businesses. In this role, you’ll translate complex datasets into actionable intelligence, guiding key decisions and influencing outcomes. You’ll be part of a dynamic team, no matter where you’re based, working at the forefront of technology and analytics.

Requirements: 2 years’ experience in a Data Analyst or BI role Relevant Degree or Diploma Experience using with cutting-edge tools like SQL, Python, Power BI, Tableau, and cloud platforms If youre passionate about data and ready to take your career to the next level, then wed love to connect with you. Apply today!

If you thrive in fast-paced environments and have experience with ensuring that products move smoothly from warehouse to store, then this is the perfect opportunity to apply your skills in a dynamic setting. What Youll Do: Analyze inventory and distribution data to optimize stock levels across warehouses and retail outlets. Build dashboards and reports to provide visibility on stock movements, product availability, and delivery efficiency. Identify gaps, risks, and opportunities in the supply chain to improve business performance. Partner with operational teams to support data-driven decision-making. Ensure data accuracy and integrity across multiple systems. What Were Looking For: Bachelors Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst, ideally in the retail, FMCG, or distribution environments. Strong knowledge of inventory and distribution processes. Proficiency in tools such as SQL, Power BI, Excel, or similar. Excellent problem-solving skills and the ability to turn data into actionable insights. If youre a Data Analyst with inventory and distribution experience, and youre ready to take on a role where your insights will directly impact business performance, then this opportunity is for you. Apply now to learn more!

Our client is a forward-thinking retail and supply chain leader known for innovation, agility, and customer-first delivery. They are looking for a Data Analyst with a sharp focus on distribution and inventory management to join their analytics team and help unlock value through smart data solutions. As part of a high-performing environment, you will work closely with operations, logistics, and warehouse teams to streamline stock movement, optimize replenishment cycles, and prevent stock issues before they arise. If you’re ready to make a measurable impact and want to work for a company where data drives every decision, then this is the role for you. Your data expertise will drive operational performance, reduce costs, and enhance stock availability across the business. Key Responsibilities: Build and maintain insightful dashboards and reporting tools for distribution and inventory KPIs Analyze replenishment patterns and demand trends to ensure optimal stock levels Identify supply chain anomalies to avoid stock-outs or overstocking Collaborate with logistics and warehouse teams to improve efficiency and streamline distribution processes Job Experience and Skills Required: A minimum of a 3-year Degree in a quantitative field, such as Data Science, Finance, Economics, Informatics, or Statistics (Post-graduate advantageous) 25 years’ experience in data analytics, with a strong focus on inventory, supply chain, and retail environments High proficiency in SQL, Python, and SAS (or similar analytical tools) Strong mathematical ability with experience in demand planning, stock forecasting, and warehouse data modelling Excellent communication skills and the ability to present complex insights in a business-friendly format Apply now!

As a Data Analyst, you will be responsible for collecting, analysing, and interpreting large datasets to provide valuable insights and support data-driven decision-making within the organisation. You will collaborate with cross-functional teams to identify business requirements, develop data models, and generate reports and visualisations that effectively communicate complex data findings. Your role will involve leveraging statistical techniques, data mining, and data visualisation tools to extract meaningful patterns, trends, and correlations from diverse data sources.  Responsibilities: Data Collection and Preparation: Identify and gather relevant data from various sources, including databases, spreadsheets, APIs, and external systems. Clean, transform, and validate datasets to ensure accuracy, consistency, and reliability. Perform data quality checks to identify and resolve any data integrity issues. Data Analysis and Interpretation: Apply statistical techniques to analyse large datasets and identify trends, patterns, and relationships. Perform exploratory data analysis to uncover insights and opportunities for improvement. Conduct hypothesis testing and statistical modeling to validate assumptions and make data-driven recommendations. Use data visualisation tools to create clear and compelling reports, dashboards, and presentations. Data-Driven Decision Making: Collaborate with stakeholders to understand their information needs and translate them into actionable data requirements. Provide insights and recommendations based on data analysis to support strategic and operational decision- making. Monitor key performance indicators (KPIs) and metrics to assess business performance and identify areas for improvement. Assist in the development and tracking of key data-driven goals and objectives. Data Governance and Documentation: Ensure data governance and compliance with relevant regulations and policies. Document data analysis processes, methodologies, and assumptions for future reference. Maintain data dictionaries, metadata, and other documentation to facilitate data understanding and accessibility. Continuous Learning and Development: Stay updated with the latest industry trends, technologies, and best practices in data analysis. Identify opportunities to improve data analysis techniques and recommend innovative solutions.  A good relationship with customers and co-workers, able to work under lots of pressure. Analytical and problem-solving skills; Server Administration. Team-work skills. Organisation, prioritisation, and time management. Interpersonal and communication skills. A meticulous and logical mind. They need someone whom when given things to do will take those tasks on and run with without a lot of handholding needed. There will be training provided when this person is given work and there will be support that can be leaned on along the way the manager though needs someone who doesn’t need to be monitored through the duration of the project.