Cape Town City Centre: Data Analyst – Risk & Fraud

The Data Analyst will be responsible for: Data Acquisition and Integration Collaborated with stakeholders to understand data needs and requirements Developed and implemented strategies for acquiring data from various sources, including internal databases Ensured data quality and consistency through cleaning, transformation, and validation processes Data Analysis and Interpretation Designed and executed queries using SQL to extract and manipulate data from relational databases Utilised Python and Pyspark for advanced data manipulation, statistical analysis, and machine learning tasks Conducted in-depth analysis of data to identify trends, patterns, and anomalies Translated complex data findings into actionable insights and recommendations Data Visualization and Communication Developed clear and concise data visualisations using Power BI to effectively communicate insights to a broad audience Created dashboards and reports to track key performance indicators (KPIs) and monitor business performance Presented data findings and recommendations to stakeholders in a clear, compelling, and easy-to-understand manner Participated in discussions and meetings to provide data-driven insights and support decision-making processes Technical Skills and Tools: Proven experience with Power BI for data visualisation and reporting Proficiency in SQL for querying and manipulating data from relational databases Experience working with Pandas, Scikit Learn, and Pyspark Experience with Git version control system Familiarity with data analysis methodologies, statistical concepts, and machine learning fundamentals Familiarity with Graph Theory, Social network analysis, and Link Analysis Working knowledge of AWS Neptune DB, Graph Explorer, and Gremlin is an advantage Additional Skills and Qualifications: Minimum 5 years experience in a Data Analyst role with at least 3 years experience in advanced analytics Bachelor’s degree in a relevant field such as statistics, computer science, mathematics, engineering, or business (or equivalent experience) Strong analytical and problem-solving skills with a keen eye for detail Excellent communication and presentation skills, both written and verbal Ability to work independently and manage multiple tasks effectively Strong teamwork and collaboration skills