About the Role

We are looking for a Data & Fraud Analyst to support data analysis, fraud detection, and platform performance monitoring within a digital advertising and offerwall ecosystem. This role is responsible for analyzing large datasets, identifying fraud patterns, troubleshooting tracking and integration issues, and delivering actionable insights that improve platform performance and user experience.

The ideal candidate has strong analytical skills, experience working with SQL and data visualization tools, and the ability to collaborate across technical and business teams to enhance reporting accuracy, fraud prevention, and operational efficiency.

Key Responsibilities

Data Analysis & Reporting

Analyze and interpret large datasets to identify patterns, anomalies, and performance trends
Generate insights related to user engagement, fraud activity, and reward fulfillment
Utilize SQL, Excel, Tableau, Google Analytics, or similar tools for reporting and analysis
Develop and maintain dashboards to monitor key metrics and campaign performance
Investigate discrepancies in reward payouts and tracking systems

Fraud Detection & Prevention

Design and improve fraud detection and prevention strategies
Analyze fraud patterns and optimize rejection logic and fraud rules
Evaluate the effectiveness of fraud prevention measures and recommend improvements
Monitor suspicious activities and identify abnormal behavior trends

System & Process Optimization

Improve data pipelines and integration processes to ensure platform stability and accuracy
Identify opportunities for automation in reporting and analysis workflows
Support engineering and product teams with data-driven recommendations
Assist in reducing vulnerabilities and improving platform reliability

Cross-Functional Collaboration

Work closely with product, engineering, business, and support teams
Collaborate with advertisers and publishers to improve tracking accuracy and campaign performance
Participate in testing and validating new platform features and SDK updates

Documentation & Knowledge Sharing

Maintain documentation related to fraud detection methodologies and reporting processes
Create internal resources and best practices for analytical workflows
Provide guidance and knowledge sharing on fraud prevention and analytical tools

Requirements

Education

Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field, or equivalent practical experience

Technical Skills

Basic to intermediate SQL proficiency
Experience with data visualization tools such as Tableau or Power BI
Advanced Microsoft Excel skills
Familiarity with Python or R for analysis or automation is a plus
Understanding of digital advertising metrics such as impressions, clicks, and conversions

Analytical & Problem-Solving Skills

Strong experience analyzing large datasets and identifying trends or anomalies
High attention to detail and data accuracy
Ability to troubleshoot data pipeline and integration issues
Strong critical thinking and problem-solving capabilities

Communication & Collaboration

Strong written and verbal communication skills
Ability to present analytical findings to both technical and non-technical stakeholders
Comfortable collaborating with cross-functional and remote teams

Preferred Experience

2–3 years of experience in data analytics, fraud detection, or related fields
Experience within gaming, AdTech, or digital advertising industries
Familiarity with reward-based advertising or offerwall platforms
Knowledge of statistical analysis or machine learning models for fraud detection is a plus

Data & Fraud Analyst (DFA)