Responsibilities:
The role will be responsible for several key areas:
- Develop and maintain centralized reporting in collaboration with Client protection and line of business partners
- Develop Enterprise executive dashboards and reporting
- Support data management and setup of Enterprise wide data marts and table views
- Conduct analytics to identify business opportunities and recommendations
- Presenting reporting results at various forums internal and external to FCSO
- Support adhoc reports across the FCSO Enterprise
- Support reporting and analytics for Consumer, Non-Consumer, and Billing Dispute products / channels
- Work with cross functional project teams to bring the teams to consensus on definitions and metrics
- Support setup of infrastructure for centralized repositories and data definitions
- Conduct variance analysis and reporting
- Gather data from various sources and areas
- Review data for completeness and accuracy
Requirements:
:
- Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a reputed institute
- Technical certifications in SAS, SQL preferred
Experience:
- 10+ years of relevant experience using SAS, SQL data analytics
- U.S financial services experience preferable
- Understanding of business domains like Fraud/Compliance/Risk preferable
Foundational Skills:
- The candidate must have intermediate to advanced knowledge of SAS and SQL.
- Excel and other applications to support large data aggregation and management
- Advanced data analytics in a big data environment within a risk & fraud function is ideal
- Experience in reporting and automation tools
- Data and reporting experience and attention to detail
- Ability to create trend reports and discuss anomalies with cross functional teams
- Ability to present the data and communication skills
- Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy)
- Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
- Effective multi-tasker, able to manage multiple files
Desired Skills:
- Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance or business. Post graduate degree is a plus.
- Strong experience on Hadoop (Hive, Impala)
- Tableau and MicroStrategy experience
- Familiarity with other programming languages such as Python, Spark, PySpark and R will be preferred.
: 11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM