The position requires the ability to support global initiatives and participate in special projects across multiple regions and time zones.
The Analyst will help turn data into decisions that improve learning performance and business outcomes. The candidate will have the ability to collect, organize and interpret data to generate actionable business insights.
Key accountabilities & areas of focus:
Partner closely with the GMNS business and stakeholders to implement enhanced and automated MIS reporting solution and analytics.
Identify process improvements and implement prevention strategies to mitigate operational risk in close partnership with the broader Operational Excellence team and GMNS teams.
Perform advanced data analytics to identify trends, composition, leading indicators, and outlook in operational risk.
Leverage unstructured data sources to identify potential process breakdowns and opportunities area.
Create recurring, consistent leadership Control and Compliance reporting and insights.
Uplift root cause analysis framework and create enhanced analytics and insights.
Continually track control & compliance metrics to improve rating and inform risk-based decision making.
Provide support for targeted projects advised at improving the control environment, mitigating, and remediating risk.
Proactively analyze data to answer key questions from stakeholders.
Development of reports and presentations including gathering data, extrapolating critical elements, and presenting findings in an actionable format.
Qualifications:
2-3 years of experience with data-driven analytics
Preferred experience in financial services, risk management, internal control
Strong proven understanding of MS-Excel and Tableau. Ability to handle sophisticated data incl. unstructured data using programming languages such as SAS, SQL, Python or another similar programming language.
Should be a person with strong analytical thinking and skills who can undertake below steps independently:
Identify problems/opportunities at hand.
Gather information on process flows, data, systems, and related losses/events.
Develop hypothesis to opportunities/problems identified.
Use data analytics to prove your hypothesis, identify root cause (if applicable) and size the opportunities/problems (if applicable)
Draw conclusion based on analysis conducted.
Be able to solve business problems in complex and unstructured environment.
Team player with strong communication skills, and ability to develop relationships with colleagues.
Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously.
Experience compiling information and developing thoughtful material for presentation.
Understanding of the merchant business, related regulatory landscape, and emerging trends/models is preferred.
Knowledge of operational risk concepts and programs, balanced with the ability to drive assessment of risks against effective controls and tests.
Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and rapid change.
Problem solver and agile decision-maker with solid analytical skills.
Technical Skills and Platform Knowledge: Expertise in MS- Excel, Tableau, HIVE, SQL and/or SAS, Python, Cornerstone.