Data & Fraud Analyst

The Data & Fraud Analyst (DFA) is a key member of our customer support team, responsible for processing, analyzing, and reporting on data from game publishers, advertisers, and end-users using our offerwall platform. This role requires advanced data analysis and root-cause troubleshooting to diagnose and resolve SDK integration challenges, track performance metrics, and enhance customer success. By leveraging technical expertise and a deep understanding of user experience, the DFA addresses data-related issues, such as reward tracking and fraud rejection logic, ensuring seamless offerwall integration across client platforms and our own products.

Key Responsibilities:

1. Data Analysis and Reporting:

• Analyse and interpret complex datasets to identify patterns, anomalies, and trends related to user engagement, fraud detection, and reward fulfilment.
• Utilise tools such as SQL, Tableau, Excel, and Google Analytics to generate actionable insights and support decision-making processes.
• Develop and maintain dashboards to monitor key metrics, providing regular reports on campaign performance and system efficiency.
• Collaborate with stakeholders to ensure accurate data tracking and improve reward payout mechanisms by identifying and addressing discrepancies.

1. Fraud Detection and Prevention:

• Design and implement data-driven strategies to detect and prevent fraudulent activity across the platform.
• Analyse fraud patterns to refine rejection logic and enhance system rules for fraud prevention.
• Work with internal teams to evaluate the effectiveness of fraud detection measures and recommend improvements.

1. System Optimisation:

• Continuously review and improve data pipelines and integration processes to ensure seamless functionality of the offerwall platform.
• Identify opportunities for process optimization, including automation of data analysis and reporting tasks.
• Support product and engineering teams by providing insights and recommendations to enhance platform features and reduce potential vulnerabilities.

1. Cross-Functional Collaboration:

• Partner with product, engineering, and business teams to share analytical insights and contribute to the development of new features.
• Collaborate with advertisers and publishers to improve data accuracy and campaign performance.
• Participate in the testing and validation of new platform features or SDK updates to ensure data integrity and user experience quality.

1. Documentation and Knowledge Sharing:

• Develop and maintain comprehensive documentation for data analysis processes, fraud detection methodologies, and reporting frameworks.
• Create internal knowledge resources to support teams in understanding data trends and system behaviour.
• Provide training and guidance to internal teams on analytical tools and fraud prevention strategies.

Required Skills and Qualifications: Education:

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent work experience).

Technical Proficiency:

• Basic/Intermediary proficiency in SQL and experience with data visualisation tools (e.g., Tableau, Power BI).
• Advanced Microsoft Excel skills.
• Familiarity with programming languages such as Python or R for data analysis and automation.
• Understanding of digital advertising metrics, including impressions, clicks, and conversion rates.

Analytical Skills:

• Demonstrated expertise in analysing large datasets to detect trends, anomalies, and actionable insights.
• Strong attention to detail in identifying discrepancies and ensuring data accuracy.
• Experience designing and implementing fraud detection strategies using data-driven approaches.

Problem-Solving Skills:

• Ability to think critically and develop creative solutions to complex data challenges.
• Proficiency in troubleshooting issues related to data pipelines and system integrations.
• Capability to work independently and manage multiple priorities effectively

Collaboration and Communication:

• Strong written and verbal communication skills, with the ability to present analytical findings to technical and non-technical stakeholders.
• Proven ability to collaborate with cross-functional teams to achieve shared objectives.

Preferred Experience:

• 2-3 years in a data analytics or fraud detection role, preferably in the gaming or digital advertising industry.
• Experience with offerwall platforms or reward-based advertising (e.g., Tapjoy, AdMob, Unity Ads).
• Knowledge of advanced statistical techniques or machine learning models for fraud detection.

Work Environment:

• Flexible remote work options with opportunities for cross-functional collaboration across time zones.
• A dynamic environment that encourages continuous learning and innovation.

Skills: Power BI, Data Analysis, Python, SQL, Tableau