Data Analyst (Gemini) - PPS Recruitment - Johannesburg

Job Advert Summary Reporting into Gemini: CIO, the Data Analyst will utilise their analytical, statistical and programming skills to mine, generate, analyse, interpret visualise large data sets and deliver on data-driven projects. The Data Analyst will support stakeholder decision-making with data insights, predictive modelling and transforming data into readable, goal-oriented reports that drive innovation and growth while maintaining the organisation’s BI solutions. Minimum Requirements Education: An appropriate bachelor's degree in (BSc, Mathematics, Computer Science, Statistics or any other relevant field). SQL and Power BI certifications are advantageous. Experience: 3-5 years in Data Analyst role especially in the insurance industry. 3-5 years of experience extracting and aggregating data from large relational databases, data mining and predictive modelling. 3–5 years of experience developing data visualization solutions to support users understanding of results. 3-5 years of proven experience as a Data Analyst in the Insurance industry. Advanced skills in SQL. Excellent communication skills and the ability to present complex findings clearly and understandably. Strong attention to detail and a commitment to delivering high-quality, accurate analyses. Proven experience in Power BI and reporting tools. Previous experience in a similar role within the data model operations. Data modelling experience. Comfortable in mapping business questions to data problems. Proven experience in stakeholder management, acting as a business partner across different areas. Strong experience in ETL. Knowledge & Skills: Advanced working SQL knowledge and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, technologies, languages and visualisation engines (Power BI, Tableau, etc). Knowledge of a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Knowledge of data visualisation and ways to best convey messages to different audiences using qualitative and quantitative insights. Competencies: Strong Data Management Skills. Decisiveness. Strong innovative flair . Project management skills. Conceptual skills. Systems thinking. Effective communication. Results Oriented Interpersonal Skills: Must be a result-oriented individual, be helpful, be self-motivated, be proactive in going beyond the call of duty, be a creative and strategic thinker, be highly analytical, work comfortably in a constantly evolving environment, work comfortably in a collaborative environment, can multi-task and meet tight deadlines, and have the ability to remain calm in the face of uncertainty and stress. People Skills: A people-oriented individual who can form strong and meaningful relationships with other people. Duties and Responsibilities Data Mining and Processing: Work with organisational stakeholders to identify opportunities to solve business problems by leveraging company data and applying advanced data modelling techniques. Mine and analyse data, draw insights and share these effectively across the business to enhance business decision-making and optimise member and commercial business outcomes. Research new data sources and analytical tools with the aim of improving the process and underlying data analysis. Understand the quality of data and engage with relevant stakeholders to correct data (if and when necessary), thereby ensuring usability is in line with requirements. Dashboard and Reports Development: Design and develop interactive and visually appealing dashboards using tools such as Power BI ensuring accessibility and usability of those dashboards for stakeholders. Work with the team to ensure that the Power BI platform is designed to help the organisation to scale. Data Quality Assurance: Implement and maintain data quality assurance processes to ensure the accuracy and reliability of data. Identify and resolve data anomalies and discrepancies. Implement best practices across the company’s data landscape relating to data analysis, business intelligence and data governance principles. Forecasting and Predictive Modelling: Develop forecasting models to predict trends and customer behaviours. Implement predictive modelling techniques to enhance decision-making processes. Interpret trends and patterns in data and provide the business with actionable insights. Design metrics to help assess how the business is performing on a day-to-day basis. Performance Monitoring: Monitor and report on key performance indicators (KPIs) related to sales, customer acquisition, website performance, etc. Provide regular updates to leadership on data-driven insights. User Support: Train other employees in the organization on how to access Data Analytics and how to make the best use of available reports. Research and Adhoc Analysis: Keep up to date with new data assets and products to identify new opportunities, capabilities and trends that would add value to business. Conduct ad-hoc analysis to address specific business questions and challenges. Proactively identify areas for optimization and improvement. Create and test hypotheses for implementation within the organisation. Other Duties: Perform similar duties and duties as delegated by the Lime Manager or the Employer. Apply Now

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Data Analyst (Gemini) - Johannesburg

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