FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Analytics Intern
R2 CompaniesData Analytics Intern analyzing data for financial solutions at R2. Building and executing data processes while generating insights for small and medium businesses in Latin America.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, programming in Python and SQL, and operational data science procedures to drive business insights and decision-making. Proficient in data structuring, cleaning, and enriching processes to support various data sources.
Highest-signal resume keywords
Data AnalysisPython ProgrammingSQL ProceduresData StructuringAirflow
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 AnalysisPython ProgrammingSQLData StructuringData CleaningFeature-Based ApproachesTime-Series ApproachesAPIsSFTPCSV
Soft Skills
Data-Oriented MindsetAnalytical ThinkingProblem-Solving
Tools & Technologies
Airflow
Industry Keywords
Transactional DataBusiness Decision-MakingData EnrichmentOperational Procedures
Tech Stack
Tools & technologiesAirflowPythonSQL
About the role
Key responsibilities & impact- Building data structuring, cleaning, and enriching processes from a wide variety of data sources.
- Making descriptive analysis of merchant-related and transactional-related data, generating high-impact insights for business decision-making.
- Processing transactional data with various approaches, including feature-based and time-series approaches.
- Executing data science operational procedures to deliver high-quality results that help thousands of businesses in Latin America have access to capital.
Requirements
What you’ll need- At least one year of experience with data analysis in a theoretical and practical way.
- Strong programming abilities (structured, object-oriented, and/or event-oriented programming) and are comfortable programming in Python/R and SQL.
- Data-oriented mindset: you care about getting to the bottom of how to make decisions based on data.
- Understand every problem as an opportunity for analyzing and learning.
- Experience with SQL procedures and orchestrators such as Airflow.
- Comfortable consuming data through APIs, SFTP, or CSVs.
Benefits
Comp & perks- Phantom Share Program, a performance-based incentive designed to align our team with the company’s long-term success and value creation