Entry Level Data Analyst, application via RippleMatch

RippleMatch; Chicago (IL); On-site; USD 60,000 - 80,000; Full time

Job summary

A leading company is seeking an Entry Level Data Analyst to join their team in Chicago. This role involves analyzing large datasets, utilizing statistical tools, and presenting insights to non-technical audiences. Ideal candidates will have a degree in Data Science or related fields and a proactive learning attitude. Join a dynamic team dedicated to helping you grow your career in the tech industry.

Qualifications

• Proficiency in statistical analysis and data analysis tools/software.
• Ability to clean, manipulate, and analyze large datasets for insights.
• Effective communication skills to present data clearly to non-technical audiences.

Responsibilities

• Analyze large datasets to derive actionable insights.
• Utilize statistical tools and programming languages for data analysis.
• Communicate findings effectively to non-technical stakeholders.

Skills

Statistical Analysis

Data Analysis

Problem Solving

Attention to Detail

Communication

Education

Bachelor's or Master's degree in Data Science

Bachelor's or Master's degree in Statistics

Bachelor's or Master's degree in Computer Science

Bachelor's or Master's degree in Economics

Tools

Python

R

SQL

Tableau

Power BI

Job description

Entry Level Data Analyst, application via RippleMatch

Join to apply for the Entry Level Data Analyst, application via RippleMatch role at RippleMatch.

About RippleMatch

RippleMatch is your AI-powered job matchmaker. Our platform connects you directly with top employers and jobs suited to your skills and goals. Leading companies such as eBay and Teach For America use RippleMatch to build diverse, high-performing teams. Trust RippleMatch to help you launch and grow your career.

Role Requirements:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or related fields.
• Prior experience or internships in data analysis or related areas is a plus.
• Proficiency in statistical analysis and data analysis tools/software.
• Skills in programming languages like Python, R, SQL, or similar.
• Experience with data visualization tools such as Tableau or Power BI.
• Ability to clean, manipulate, and analyze large datasets for insights.
• Strong problem-solving, attention to detail, and organizational skills.
• Effective communication skills to present data clearly to non-technical audiences.
• Proactive learning attitude towards new analytics techniques and tools.

Additional Details:

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Technology, Information and Internet

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