Data Analyst Claremont - Claremont
Networkers International SA
Our client is in need of a Data Analyst who will be responsible for actively identifying any data conflicts and patterns to ensure we have data accuracy, integrity and the best possible datasets for our reports. Data Gathering: Collect data from various sources, ensuring accuracy and completeness. Data Cleaning: Pre-process and clean data to prepare it for analysis, which might involve handling missing values, outliers, and inconsistencies. Data Analysis: Utilise SQL to query databases and extract relevant information for analysis. Use statistical methods and analytical tools to interpret multiple complex data sets in order to solve time sensitive or complex problems. Report Creation: Develop and generate reports using Microsoft 365 applications (Excel, Power BI) and other reporting tools. These reports could include charts, graphs, and detailed data tables. Data Visualization: Use Power BI to create interactive and visually appealing dashboards that summarize key findings and insights from the data. Presentation of Findings: Clearly present analytical results to stakeholders through reports and visualizations, ensuring the insights are actionable and understandable. Stakeholder Engagement: Work closely with senior stakeholders across multiple departments to understand their data needs and provide tailored analytical support acting as a resource for departments across Integrated Technology Solutions. Tool Proficiency: Maintain and enhance proficiency in Microsoft 365 applications, SQL, Power BI, and other reporting tools In depth conceptual and practical knowledge of Power BI and SQL to be able to connect to data, code, produce, and link reports with other Power Platform tools Data driven degree e.g., Mathematics, Economics, Financial, Sciences is desirable, or demonstrable experience in analysing complex data sets PL-300T00-A: Microsoft Power BI Data Analyst certification Possess an analytical mind, be passionate about data and solution focused with an ability to solve complex data problems using multiple sources and methodologies Methodical, quality driven with a high attention to detail An effective communicator both verbal and written with all levels of stakeholders Able to communicate with both technical and non-technical audience acting as a resource to support data
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