Data & Fraud Analyst

Recruitment Consultant at Glints Singapore | Cross - Border Recruiter | We're Hiring!

About the Company - [Provide a brief introduction to the company, its mission, and culture.]

About the Role - [A short paragraph summarizing the key role responsibilities.]

Responsibilities:

• 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.
• 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.
  ● 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.
• 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.
• 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:

• Education:
  ● Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent work experience).
• Technical Proficiency:
  ● Basic/Intermediate proficiency in SQL and experience with data visualization 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 Skills:

• 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.