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Western Cape: Data Analyst – Risk & Fraud posted by Boardroom Appointments

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Job Description

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
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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



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