Summary The Fraud & Quality Analyst provides best-in-class support by analyzing data to provide actionable insights and tell a compelling, but accessible story to senior management and key stakeholders.
This position will work across multiple product lines and functional areas supporting the business.
This role requires strong communication and consulting skills that guide the team toward high-impact opportunities.
The ideal candidate will exhibit a high level of technical expertise in data analysis and quality assurance.
Key Responsibilities Process requests like weighting, updating quality reporting, live quality checks, and managing survey quality deep-dives.
Research fraud and quality trends across the market for BA behaviors and surface this to leadership.
Acquire and comply with structured and unstructured data and verify its quality and accuracy.
Analyze historical data to surface trends and insights using advanced analytical methods.
Develop, own, and manage recurring analytic or reporting processes. Monitor the impact of implemented changes and make adjustments as necessary.
Communicate effectively and professionally with all levels of management both internally and with key stakeholders.
Work closely with product & engineering to ensure data accuracy and availability.
Maintain and update relevant spreadsheets/ process documents.
Escalate any concerns to senior stakeholders and work to identify an appropriate mitigation strategy.
Qualifications Minimum 2 years experience working with customers of varied technical knowledge and business needs, of which one to two years were spent in fraud-related roles.
Advanced, near-native English proficiency.
Excellent verbal, written, and interpersonal communication skills.
Excellent process execution skills.
Minimum 2 years in data analysis and data interpretation.
Ability to work through difficult situations with professionalism and diplomacy, strong ability to indirectly influence others, and maintain confidentiality of proprietary information. Ability to multitask and prioritize.
Proficient in Data software and Google Suite. Strong computer skills. Ability to maintain a professional atmosphere in a fast-paced environment.
High degree of initiative, self-motivation, and ability to motivate others.
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