Data Analyst Intern, application via RippleMatch at RippleMatch

Feedinkoo; United States; Remote; USD 50,000 - 70,000; Full time

Job summary

Feedinkoo is seeking candidates for a data analysis role, ideally suited for those pursuing a Bachelor's or Master's degree in Data Science or related fields. The role demands strong analytical skills, familiarity with programming languages like Python and R, and experience with data visualization tools.

Applicants should be eager to learn and possess excellent problem-solving abilities, coupled with strong communication skills to collaborate effectively with team members.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques.
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
• Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar).
• Ability to interpret complex data sets and provide actionable insights.
• Excellent problem-solving skills and attention to detail.
• Effective organizational and time management skills.
• Strong communication and interpersonal skills.
• Eagerness to learn and apply new techniques and tools in the field of data analysis.

Skills

Statistical analysis

Data modeling

Data mining techniques

Python

R

SQL

Data visualization tools

Tableau

Power BI

Interpretation of complex data sets

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Data visualization software

Job description

About the job

This role is with RippleMatch’s partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.

Requirements for the role

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques.
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
• Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar).
• Ability to interpret complex data sets and provide actionable insights.
• Excellent problem‑solving skills and attention to detail.
• Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with team members.
• Eagerness to learn and apply new techniques and tools in the field of data analysis.