Data & BI Support Analyst

SUMMARY:

POSITION INFO:
Key Responsibilities Data Analysis & Reporting Design, build, and maintain data pipelines from SQL databases, Excel, CSV files, and other data sources. Develop, publish, and continuously improve Power BI dashboards and reports. Create meaningful visualisations and KPI reporting to support business decision-making. Write efficient and accurate SQL queries for data extraction, transformation, validation, and reporting. Business Intelligence Development Perform data modelling, DAX development, and Power Query transformations within Power BI. Optimise dashboard performance and enhance user experience. Translate stakeholder requirements into reporting solutions and actionable insights. Support the ongoing development and enhancement of BI reporting capabilities. Data Quality & Governance Conduct data validation and reconciliation activities to ensure reporting accuracy. Implement and maintain data quality controls and checks. Apply data governance best practices and ensure compliance with privacy and data protection requirements. Ensure analytical outputs are validated before distribution to internal and external stakeholders. AI-Assisted Analytics Leverage AI tools such as Microsoft Copilot, ChatGPT, and similar technologies to accelerate insight generation. Use AI-assisted techniques for trend identification, anomaly detection, data summarisation, and executive reporting. Apply best practices in prompt engineering and validate AI-generated outputs for accuracy and business relevance. Stakeholder Engagement Collaborate with business stakeholders to understand reporting and analytical requirements. Present findings and recommendations in a clear, concise, and business-friendly manner. Convert complex datasets into compelling stories that support data-driven decision-making. Support dashboard adoption and continuous improvement through stakeholder feedback. Minimum Requirements Qualifications Grade 12 \/ Matric. Diploma or Degree in Data Analytics, Information Systems, Statistics, Computer Science, or a related field. Experience 2-4 years of experience in a Data Analyst, BI Analyst, or Reporting Analyst role. Experience supporting business intelligence and reporting environments. Exposure to operational, service, or business performance reporting environments will be advantageous. Technical Skills Intermediate to Advanced SQL, including joins, aggregations, and data manipulation. Strong Power BI experience, including: Data Modelling DAX Power Query Dashboard design and optimisation Advanced Microsoft Excel skills, including: Pivot Tables Power Query Data cleansing and transformation techniques Understanding of data governance, data quality, and privacy principles. Exposure to Python or similar automation technologies will be advantageous. Experience with AI-powered analytical tools such as Copilot or ChatGPT will be beneficial. Think-Cell experience would be advantageous. Key Competencies Analytical & Problem Solving Strong analytical thinking and attention to detail. Ability to identify patterns, trends, and opportunities from complex datasets. Logical and structured approach to problem-solving. Communication & Storytelling Excellent verbal and written communication skills. Ability to present complex information clearly to both technical and non-technical audiences. Strong data storytelling and presentation capabilities. Collaboration & Relationship Building Ability to work effectively across teams and with various stakeholders. Strong interpersonal skills with a collaborative and customer-focused approach. Confidence in influencing stakeholders through data-driven recommendations. Execution & Ownership Strong organizational and time management skills. Ability to manage multiple priorities and meet deadlines. High level of accountability and ownership of deliverables. Commitment to quality and continuous improvement. Key Performance Indicators (KPIs) Success in this role will be measured through: Timely delivery of dashboards, reports, and analytical outputs. Data quality, accuracy, and reconciliation standards. Stakeholder satisfaction and dashboard adoption rates. Operational improvements driven by analytics. Efficiency gains achieved through automation and AI-assisted analysis. Contribution to business decision-making through actionable insights. Working Environment Office-based position. Opportunity to work closely with business leaders and key decision-makers. Exposure to modern Business Intelligence technologies, data analytics tools, and AI-driven reporting practices. Apply now! For more IT jobs, please visit I also specialise in recruiting in the following: Software Development Data Engineer Data Analyst Infrastructure Architecture ... and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \/ positions. For more information contact: Sfundo Shoba Recruitment Consultant