Data Analyst developing innovative BI solutions at Keyrus in Bordeaux. Engaging in exciting projects and collaborating with diverse teams to transform data into actionable insights.
About the role
- Fraud Data Analyst supporting Fraud Operations to develop data analytics for fraud risk mitigation. Enabling data-driven decision making to strengthen payment security and operational effectiveness.
Responsibilities
- The purpose of the Fraud Data Analyst role is to support the Fraud Operations team by developing and operating measurement and data analytics capabilities to detect, assess, and mitigate fraud risks.
- This role enables data-driven decision making through the collection, analysis, and reporting of fraud-related data, contributing to risk management, quality assurance, and stakeholder engagement.
- Collect, maintain, and analyse measurement data to meet organisational information needs.
- Produce and distribute regular and ad hoc reports using analytical tools.
- Improve data collection processes and methods.
- Conduct risk management activities, including documenting risks, vulnerabilities, and mitigation actions.
- Support quality assurance through evidence collection, audits, and compliance reviews.
- Identify and address non-compliance or abnormal occurrences against organisational standards.
- Provide expert advice to inform planning and operational decisions.
- Gather and prepare multi-source data for analysis.
- Apply analytical and statistical techniques to identify trends, patterns, and insights.
- Manage stakeholder engagement, resolve issues, gather feedback, and strengthen relationships.
Requirements
- Bachelor’s degree in data Analytics, Statistics, Finance, or a related discipline.
- Relevant certifications in data analytics, fraud detection, or risk management (e.g. CFE, CAMS, or equivalent) are highly regarded.
- Proven experience in data analysis, ideally within financial services, payments, or fraud operations.
- Proficient in data analytics and statistical tools such as SQL, Python, R, Power BI, and Power Automate (or similar).
- Strong ability to interpret complex data sets and derive meaningful insights to support decision-making.
- Experience in risk management, quality assurance, or compliance processes is an advantage.
- Sound understanding of fraud detection methodologies, risk management principles, and relevant regulatory frameworks.
- Familiarity with data platforms, infrastructure, governance, and emerging technologies supporting analytics and fraud prevention.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Product Data Analyst monitoring and analyzing product performance at Veepee. Collaborating with product teams and marketing to improve user experience and conversion.
Senior Analytics Manager leading data analytics initiatives to inform strategic decisions at KeyBank. Enhancing client and employee experiences through quantitative and qualitative research.
Data Analyst supporting global energy transition by developing and managing dashboards for diverse data insights. Collaborating across teams to scope and execute data strategies for Aurora's software solutions.
Data Analyst supporting behavioral health initiatives by analyzing data for various programs in Detroit. Involves data collection, reporting, and collaboration with community partners.
Data Analytics and Tracking Specialist working in a cutting - edge AI marketing agency. Collaborating with stakeholders to implement data - driven solutions and optimize marketing performance.
Analyst developing data solutions for Minsait in the Cards/Client Experience Department. Focus on optimizing workflows and increasing efficiency with strong analytical skills.
Mid - Level Systems and Data Analyst for Boeing, supporting logistics and transportation solutions. Engaging with business stakeholders to define requirements and enhance system functionalities.
Senior Data Analyst utilizing healthcare datasets to enhance clinical impact at Stellar Health. Bridging payer data sets and application data for actionable insights and strategic decision - making.
Data Analytics Analyst at Canon USA supporting Revenue Operations with data analysis and strategic pricing. Employing SQL, Python, and Power BI for informed business decisions and digital transformation.