Entry Level Data Analyst, application via RippleMatch

RippleMatch Opportunities; New York (NY); 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 New York. This role involves analyzing large datasets, utilizing statistical analysis skills, and proficiency in programming languages such as Python and R. Candidates with a degree in Data Science or related fields are encouraged to apply.

Qualifications

• Bachelor’s or Master’s degree in Data Science or related field is required.
• Proficiency in statistical analysis and data analysis tools.
• Strong skills in programming languages like Python, R, SQL.

Responsibilities

• Analyze large datasets to derive actionable insights.
• Clean and manipulate data using various analysis tools.
• Present complex data in a clear manner to non-technical audiences.

Skills

Proficiency in statistical analysis

Programming in Python

Data visualization skills

Problem-solving

Communication skills

Education

Bachelor’s or Master’s degree in Data Science

Degree in Statistics, Computer Science, Economics, or a related field

Tools

Tableau

Power BI

Job description

Entry Level Data Analyst, application via RippleMatch

New York, NY

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 such as eBay and Teach For America leverage RippleMatch to build diverse, 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.

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