Top Benefits
Gym membership
Pension plan
Share purchase options
About the role
Who you are
- Advanced in SQL and experienced with data query and management tools such as Hadoop
- Skilled in data optimization, analysis, and the creation of clear, actionable metrics reports
- Strong analytical and quantitative abilities with exceptional attention to detail
- Adept at translating complex data into meaningful insights and identifying key patterns, including potential fraud indicators
- Experienced with dashboarding and visualization tools (e.g., Tableau, Domo, Splunk, MixPanel) to support data-driven storytelling
- Effective communicator and presenter, able to craft compelling narratives and deliver insights to both technical and non-technical audiences
- Advanced skills in Microsoft Word, Excel, and PowerPoint for reporting, visualization, and presentation development
- Highly collaborative, working effectively across teams and functions to achieve shared objectives
What the job involves
- Mastercard is using global threat intelligence to secure today’s digital economy – in the payment ecosystem and beyond
- The Sr. Data Analyst in Payment Threat Intelligence will leverage advanced data querying and analysis skills to analyze payments data, detect fraud trends, and deliver actionable insights to strengthen product performance
- This role will report to the Director of Payment Threat Intelligence Operations & Strategy and work closely with the global product and data science teams
- Execute and optimize complex SQL queries on large-scale transactional datasets using Hadoop-based data platforms
- Support ad hoc investigations driven by analyst research and fraud detection efforts
- Apply payments and fraud expertise to interpret data patterns and inform strategic decisions
- Develop and maintain metrics and dashboards to monitor key performance indicators
- Surface insights such as month-over-month changes in payment fraud activity
- Communicate analytical findings to both technical and non-technical stakeholders, translating insights into actionable recommendations
- Optimize metrics reporting workflows and support data integrity, including automation and collaboration on data discrepancies
Benefits
- Gym membership
- Pension plan
- Share purchase options
- Extra holiday purchase optional
- 25 days holiday (excl. bank holidays)
- Work from home opportunities
- Health insurance
Top Benefits
Gym membership
Pension plan
Share purchase options
About the role
Who you are
- Advanced in SQL and experienced with data query and management tools such as Hadoop
- Skilled in data optimization, analysis, and the creation of clear, actionable metrics reports
- Strong analytical and quantitative abilities with exceptional attention to detail
- Adept at translating complex data into meaningful insights and identifying key patterns, including potential fraud indicators
- Experienced with dashboarding and visualization tools (e.g., Tableau, Domo, Splunk, MixPanel) to support data-driven storytelling
- Effective communicator and presenter, able to craft compelling narratives and deliver insights to both technical and non-technical audiences
- Advanced skills in Microsoft Word, Excel, and PowerPoint for reporting, visualization, and presentation development
- Highly collaborative, working effectively across teams and functions to achieve shared objectives
What the job involves
- Mastercard is using global threat intelligence to secure today’s digital economy – in the payment ecosystem and beyond
- The Sr. Data Analyst in Payment Threat Intelligence will leverage advanced data querying and analysis skills to analyze payments data, detect fraud trends, and deliver actionable insights to strengthen product performance
- This role will report to the Director of Payment Threat Intelligence Operations & Strategy and work closely with the global product and data science teams
- Execute and optimize complex SQL queries on large-scale transactional datasets using Hadoop-based data platforms
- Support ad hoc investigations driven by analyst research and fraud detection efforts
- Apply payments and fraud expertise to interpret data patterns and inform strategic decisions
- Develop and maintain metrics and dashboards to monitor key performance indicators
- Surface insights such as month-over-month changes in payment fraud activity
- Communicate analytical findings to both technical and non-technical stakeholders, translating insights into actionable recommendations
- Optimize metrics reporting workflows and support data integrity, including automation and collaboration on data discrepancies
Benefits
- Gym membership
- Pension plan
- Share purchase options
- Extra holiday purchase optional
- 25 days holiday (excl. bank holidays)
- Work from home opportunities
- Health insurance