Data Analyst Fraud

TyrAds; Provinsi Bali; On-site; IDR 200,880,000 - 357,120,000; Full time

Job summary

TyrAds, Bali-based, is seeking a data analytics professional to analyse large datasets and monitor user engagement, fraud, and reward fulfilment. You will develop dashboards using SQL, Tableau, and Power BI to drive decision-making.

You will also design data‑driven fraud prevention measures, refine platform rules, and partner with product and engineering teams to improve data accuracy and platform reliability.

Qualifications

• Bachelor’s degree in CS/IT/Data Analytics or equivalent.
• Proficiency in SQL and data visualization tools (Tableau/Power BI).
• Advanced Microsoft Excel skills.
• Experience with Python or R for data analysis.
• Understanding of digital advertising metrics (impressions, clicks, conversions).

Responsibilities

• Data analysis and reporting to identify patterns and insights for user engagement, fraud, and rewards.
• Design and implement data-driven fraud detection strategies and refine rejection logic.
• Optimize data pipelines and reporting processes for reliability and speed.
• Collaborate with product, engineering, and business teams to share insights and influence features.
• Document data analysis processes and provide training on analytics tools.

Skills

Data analysis

Fraud detection

Collaboration

Problem solving

Education

Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field

Tools

SQL

Tableau

Power BI

Python

R

Excel

Job description

Job Description

Location: In office - Bali

About Us

TyrAds is a leading tech-driven loyalty and rewards platform that partners with businesses to create meaningful and rewarding experiences for their customers. With millions of users across our platforms, we specialize in innovative AdTech solutions powered by big data, machine learning, and deep learning technologies. Our systems process over 10,000 events per second, delivering real-time insights at scale. We build seamless user experiences across web, Android, and iOS, while leveraging ML/AI to power personalization and advertising effectiveness. We are a team of 90+ employees worldwide and growing, guided by values of transparency, ownership, learning from mistakes, and respect for diverse cultures. Our product development follows Agile methodologies with weekly releases and collaboration tools such as GitHub, Jira, and Slack.

Job Requirements

• 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 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.

Job 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.

System Optimisation

• Continuously review and improve data pipelines and integration processes to ensure seamless functionality of the offerwall platform.
• Identify opportunities for process optimisation, 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.