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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, data visualization, and scripting languages such as SQL and Python, while effectively communicating complex concepts to senior stakeholders. Proven ability to collaborate with cross-functional teams and support risk management initiatives through analytical deliverables and business intelligence tools.
Highest-signal resume keywords
Data AnalyticsSQLPythonPower BIRisk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data VisualizationData Scripting LanguagesDatabase IntegrationsAnalytical DeliverablesProcess Mining
Soft Skills
Excellent Communication SkillsAbility to Work Under PressureProfessional Manner with ExecutivesCuriosity and Willingness to Try New ThingsAbility to Summarize Complex Concepts
Tools & Technologies
MS FabricData FactoryCoPilotData ActivatorOneLake
Industry Keywords
Global Corporate SettingRisk Management InitiativesBusiness IntelligenceData Security KnowledgeClient-Driven Environment
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze data to optimize existing processes and develop new solutions
- Collaborate with global teams and internal stakeholders, adjusting shift timings when needed
- Support key Risk Management initiatives and KPIs
- Use data analytics tools and techniques to identify efficiency improvements and enable in-depth analysis
- Analyze and clearly present data to identify trends and key issues
- Build data insights that inform risk understanding, business strategies, and decisions
- Challenge current practices and provide feedback on improvement opportunities
- Gather and share data with stakeholders
- Develop analytical deliverables supporting strategic planning and Risk Management priorities
- Perform systems analysis and design effective data relationships and integrations
- Communicate the purpose of analytical processes and solutions
- Collaborate with cross-functional teams to understand business needs and provide analytical support
- Provide analytics, business intelligence, and technology enablement support across Global Risk Management Services
- Support RM tools and processes including SORT, PACE, Global Confirmations, GEAR, ERM operations, and AML reporting
- Work virtually with teams across geographies, with some opportunities for in-person collaboration and travel
Requirements
What you’ll need- Graduate/Postgraduate with at least 3 to 5 years of experience in a global corporate setting
- One (1) to two (2) years minimum of experience in data analytics, data visualizations, and data scripting languages
- Experience with SQL and Python
- Experience with MS Fabric, including Data Factory, Power BI with CoPilot, Data Activator, and OneLake
- Experience with database integrations
- Expert-level English communication skills (reading and writing)
- Ability to summarize complex concepts into clear, concise language for senior stakeholders without further senior review
- Ability to perform well under pressure and take critical feedback positively
- Excellent knowledge of MS Office Suite, including Word, Excel, PowerPoint, and SharePoint
- Ability to work with senior executives in a polished, professional manner with minimum guidance
- Preferred: experience with XML, R, and SAS
- Preferred: data security knowledge
- Preferred: process mining experience
- Preferred: creative visualization skills
- Preferred: passion for digitization and automation
- Preferred: curiosity and willingness to try new things
- Credible experience in a fast-moving, client-driven environment
Benefits
Comp & perks- Continuous learning and skills development
- Tools and flexibility to make a meaningful impact
- Insights, coaching and confidence-building through transformative leadership
- Diverse and inclusive culture
- Opportunities to work with Global Executive risk management teams
- Opportunities to acquire and demonstrate new skills
- Opportunities to work on projects with global EY teams and well-known brands
- Opportunities to travel for in-person collaboration