Senior Data Analyst

Incredible opportunity for an experienced Senior Data Analyst to join a high-performing team within a high-paced environment.

We are looking for a minimum of 5 years of professional experience. Expertise in SQL and Python is essential, along with the ability to utilize advanced analytical techniques in data analytics and predictive modelling.

Key Responsibilities

• Analyze vast datasets to uncover fraud indicators, trends, and emerging threats.
• Apply advanced statistical techniques to enhance fraud detection accuracy.
• Evaluate and refine fraud rules and models to reduce false positives.
• Develop advanced algorithms for linking, clustering, and pattern recognition.
• Rapidly implement new fraud detection methods based on investigative insights.
• Collaborate with data science and tech teams to drive fraud prevention innovations.

Requirements

• 5 years of commercial experience in Data Analyst/Scientist role is essential
• Advanced SQL skills including advanced queries and stored procedures
• Advanced skills in Python
• Extensive use of data visualization tools like Power BI or Tableau
• Strong Data Modeling skills
• Some experience in Fraud would be very advantageous
• Outstanding communication skills necessary