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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in analyzing large-scale datasets and applying statistical analysis and machine learning techniques to derive actionable insights. Skilled in developing visualizations and dashboards while effectively communicating findings to diverse stakeholders.
Highest-signal resume keywords
Statistical AnalysisMachine Learning TechniquesData VisualizationSQL Data ExtractionCommunication Skills
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 AnalysisStatistical SoftwareMachine LearningForecastingSegmentationOptimizationPerformance MeasurementDecision ModelingData AggregationFeature Development
Soft Skills
Clear CommunicationCollaborationProblem SolvingAdaptabilityCritical Thinking
Tools & Technologies
PythonSASRStataPower BITableauExcelPowerPointGenerative AI ToolsCloud-Based Analytics Platforms
Industry Keywords
Data AnalyticsData ScienceExploratory Data AnalysisBusiness InsightsAnalytical Workflows
Tech Stack
Tools & technologiesCloudPythonSQLTableau
About the role
Key responsibilities & impact- Analyze large-scale datasets using cloud-based data and analytics platforms
- Conduct exploratory data analysis, develop features, evaluate trends, and generate insights
- Apply statistical analysis, machine learning, experimentation, forecasting, segmentation, optimization, performance measurement, and decision modeling
- Develop and evaluate models and decision frameworks for business opportunities, tradeoffs, and responsible data-informed decisions
- Create and enhance dashboards and visualizations
- Translate analytical findings into actionable recommendations
- Communicate insights to technical and non-technical stakeholders
- Collaborate with data science, product, technology, data and analytics, privacy, governance, regional, and global teams
- Recommend improvements to analytical workflows, tools, and processes focused on scalability, reuse, automation, and long-term business value
- Present project achievements, insights, and recommendations to Visa leaders and stakeholders
Requirements
What you’ll need- Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field
- Graduation between December 2027 and August 2028
- Strong communication skills, including clear and concise written and spoken communication
- Experience understanding and analyzing data using statistical software such as Python, SAS, R, Stata, or similar
- Experience with visualization and reporting tools such as PowerPoint, Power BI, Tableau, open-source tools, or similar
- Experience extracting and aggregating data from large datasets using SQL or other tools
- Understanding of machine learning techniques
- Competence in Excel, PowerPoint, and Tableau
- Digital fluency, including ability to work with emerging technologies such as Generative AI tools
- Ability to travel 5–10% of the time
Benefits
Comp & perks- 12-week immersive internship program
- Interactive workshops and learning sessions
- Professional development opportunities
- Intern social events
- Hands-on experience in a dynamic, global environment
- Final presentation opportunity to Visa leaders and stakeholders