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Entry Level Data Analyst, application via RippleMatch at RippleMatch Opportunities
Charlotte, North Carolina, United States -
Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Statistical Analysis, Python, R, SQL, Data Visualization, Tableau, Power BI, Data Cleaning, Problem Solving, Attention to Detail, Organizational Skills, Project Management, Communication Skills, Interpersonal Skills, Analytics Techniques

Industry

technology;Information and Internet

Description
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch 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.
Responsibilities
The role involves analyzing data to derive actionable insights and presenting complex data in a clear manner. You will work with large datasets and utilize various data analysis tools and programming languages.