The Analyst will support Visa Consulting & Analytics (VCA) client engagements by conducting quantitative and qualitative analysis, developing data-driven insights, and contributing to clear, structured client deliverables. This role is ideal for early-career professionals with strong analytical skills who are eager to grow within a consulting and analytics environment under guidance from senior team members.
Key Responsibilities
Analytics & Problem Solving
- Execute quantitative and qualitative analyses with guidance from Managers and Senior Managers.
- Perform data exploration, filtering, and validation to extract meaningful insights from complex datasets.
- Break down client problem statements into structured analytical components to support hypothesis-driven analysis.
Insight Development & Storytelling
- Translate analytical findings into clear, data-supported takeaways (focused on insights rather than recommendations).
- Contribute to developing logical storylines that connect data, insights, and business context.
- Ensure high standards of data quality, accuracy, and analytical rigor.
Client Deliverables & Project Support
- Use and adapt standardized consulting templates to address unique client needs while maintaining clarity and structure.
- Support the creation of client-ready presentations and materials that clearly articulate key messages.
- Leverage data and insights to support project management and internal decision-making.
- This is a hybrid position. The expectation of days in office will be confirmed by the hiring manager.
Requirements & Qualifications
Required Qualifications
- Bachelor’s degree in Economics, Finance, Business, Statistics, Data Analytics, Engineering, or a related quantitative field.
- Strong analytical and problem-solving skills with the ability to work with structured datasets.
- Ability to extract basic insights and conclusions from quantitative analysis.
- Clear written and visual communication skills (e.g., slides, charts, summaries).
- Strong attention to detail, accuracy, and data quality.
- Ability to collaborate effectively in a team-based consulting environment and incorporate feedback.
Preferred Qualifications
- Exposure to consulting, financial services, payments, or technology environments.
- Experience with Excel and PowerPoint; familiarity with SQL, Python, Tableau, or Power BI is an advantage.
- Demonstrated interest in payments, digital finance, or analytics-driven strategy.
