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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical capabilities through data modeling, SQL, and data analysis, while effectively communicating insights and recommendations to both technical and nontechnical stakeholders. Proficient in developing dashboards and visualizations using tools like Power BI and Tableau.
Highest-signal resume keywords
Data AnalysisSQLData VisualizationPower BIPython
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 ModelingStatistical AnalysisData CleaningData ValidationKPI DevelopmentExperimentationForecasting
Soft Skills
Effective CommunicationCollaborationPresentation Skills
Tools & Technologies
Power BITableauLookerExcelPythonR
Industry Keywords
Data AnalyticsBusiness AnalyticsStatisticsInformation SystemsMathematics
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Gather and clarify business questions and reporting requirements
- Query, clean, validate, and analyze data from enterprise systems
- Identify trends, patterns, risks, and opportunities within datasets
- Develop dashboards, visualizations, and analytical reports
- Define and document metrics, assumptions, and data sources
- Communicate findings through concise narratives and presentations
- Participate in team meetings, peer reviews, and stakeholder discussions
- Present final insights and recommendations at the end of the internship
- Complete a defined analytics project during the 10-week program
Requirements
What you’ll need- Minimum of 30 completed college credit hours in data analytics, statistics, economics, business analytics, computer science, mathematics, information systems, or a related field
- U.S. Citizenship or Permanent Work Authorization required
- Preferred: completed bachelor’s degree and enrollment verification or 9 completed credit hours in a master’s program in a relevant field
- Academic, project, or internship experience with data modeling, SQL, and data analysis
- Familiarity with Power BI, Tableau, or Looker
- Experience with Python, R, Excel, statistical analysis, or data visualization
- Familiarity with data quality, KPI development, experimentation, or forecasting
- Experience through coursework, research, case competitions, personal projects, or prior internships
- Ability to work effectively with technical and nontechnical colleagues
Benefits
Comp & perks- Flexible remote work may be available from anywhere in the US
- Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
- Equal opportunity employment
- Confidential accommodation support during the application and employment process
