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
Desired Skills:
- Communications
- Information Technology
- Data Analyst