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Responsibilities:
- Understand the various operations across Payment Risk
- Design and develop highly available dashboards and metrics using SQL and Excel/Tableau- Understand the requirements of stakeholders and map them with the data sources/data warehouse- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)Key job responsibilities
• Understand the various operations across Payment Risk• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight• Understand the requirements of stakeholders and map them with the data sources/data warehouse• Own the delivery and backup of periodic metrics, dashboards to the leadership team• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers• Perform business analysis and data queries using appropriate tools• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- 3+ years of business analyst, data analyst or similar role experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
- Experience demonstrating problem solving and root cause analysis
- Experience using databases with a large-scale data set
- Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
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