Entry Level Data Analyst, application via RippleMatch - RippleMatch : Job Details

Entry Level Data Analyst, application via RippleMatch

RippleMatch

Job Location : Chicago,IL, USA

Posted on : 2025-08-14T01:04:07Z

Job Description :
Entry Level Data Analyst, application via RippleMatch

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

Entry Level Data Analyst, application via RippleMatch

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

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.About RippleMatchRippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.Requirements for the role:

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Prior work experience or internships involving data analysis or related fields is a plus.
  • Proficiency in statistical analysis and the use of various data analysis tools and software.
  • Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar.
  • Experience with data visualization tools and software (e.g., Tableau, Power BI).
  • Ability to clean, manipulate, and analyze large datasets to derive actionable insights.
  • Excellent problem-solving skills and attention to detail.
  • Strong organizational and project management abilities, capable of managing multiple tasks simultaneously.
  • Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences.
  • A proactive approach to learning and applying new analytics techniques and tools.

Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesTechnology, Information and Internet

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