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Marketing Analytics Intern, application via RippleMatch

RippleMatch Opportunities
Full-time
On-site
Charlotte, North Carolina, United States

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Analytics Intern

πŸ”Ή Company: RippleMatch

πŸ”Ή Location: Charlotte, NC

πŸ”Ή Job Type: Internship

πŸ”Ή Category: Marketing & Analytics

πŸ”Ή Date Posted: April 9, 2025

πŸ”Ή Experience Level: Entry Level (0-2 years)

πŸ”Ή Remote Status: On-site

πŸš€ Job Overview

Key aspects of this role include:

  • Assisting in market data analysis, consumer behavior analysis, and campaign performance evaluation
  • Preparing detailed reports and presentations to communicate findings and insights effectively
  • Collaborating with cross-functional teams to identify trends and make data-driven decisions
  • Gaining hands-on experience in marketing analytics and data analysis

ASSUMPTION: This role is part of RippleMatch's partnership with various companies, providing interns with diverse exposure to different work environments and projects.

πŸ“‹ Key Responsibilities

βœ… Analyze market data, consumer behavior, and campaign performance to identify trends and insights

βœ… Prepare detailed reports and presentations to communicate findings and recommendations effectively

βœ… Collaborate with cross-functional teams to contribute to collaborative projects and achieve common goals

βœ… Demonstrate strong problem-solving skills and a proactive approach to data analysis

βœ… Manage multiple tasks and prioritize workloads effectively

βœ… Stay updated with the latest marketing trends and data analysis technologies

ASSUMPTION: The intern's responsibilities may vary depending on the partner company they are assigned to, providing diverse learning opportunities.

🎯 Required Qualifications

Education: Pursuing a Bachelor’s or Master’s degree in Marketing, Business Analytics, Statistics, or a related field

Experience: None specified (entry-level position)

Required Skills:

  • Basic understanding of marketing principles and analytics techniques
  • Strong analytical skills and proficiency with Excel
  • Familiarity with Google Analytics and experience with SQL or similar database querying language
  • Effective communication and interpersonal skills
  • Good organizational and project management skills

Preferred Skills:

  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Knowledge of programming languages for data analysis (e.g., Python, R)

ASSUMPTION: While not explicitly stated, having some prior experience with data analysis tools and techniques would be beneficial for this role.

πŸ’° Compensation & Benefits

Salary Range: $15 - $18 per hour (based on industry standards for entry-level marketing analytics internships in Charlotte, NC)

Benefits:

  • Gain valuable work experience in marketing analytics
  • Opportunity to work with various companies through RippleMatch's partnerships
  • Potential for full-time employment after the internship

Working Hours: Full-time (40 hours/week) during the internship period

ASSUMPTION: The salary range is an estimate based on industry standards and may vary depending on the partner company.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Technology, Information, and Internet

Company Size: 51-200 employees

Founded: 2016

Company Description:

  • RippleMatch is an AI-powered job matchmaker that connects job seekers with top employers
  • The platform brings job opportunities directly to candidates by matching them with suitable roles
  • Leading employers use RippleMatch to build diverse, high-performing teams

Company Specialties:

  • University Recruiting
  • Diversity Recruiting
  • Campus Recruiting
  • Proactive Sourcing
  • Candidate Sourcing
  • Early Career Recruitment
  • Technical Recruiting
  • Automated Sourcing

Company Website: RippleMatch

ASSUMPTION: As an intern, the applicant will work with RippleMatch's partner companies, gaining exposure to various work environments and company cultures.

πŸ“Š Role Analysis

Career Level: Entry Level (0-2 years)

Reporting Structure: The intern will report directly to the marketing or analytics team of the partner company they are assigned to

Work Arrangement: On-site, full-time during the internship period

Growth Opportunities:

  • Gain practical experience in marketing analytics and data analysis
  • Develop strong problem-solving and communication skills
  • Potential for full-time employment after the internship

ASSUMPTION: The intern's growth opportunities may vary depending on the partner company they are assigned to.

🌍 Location & Work Environment

Office Type: Varies by partner company

Office Location(s): Charlotte, NC (specific location may vary)

Geographic Context:

  • Charlotte, NC is the most populous city in the state and the 17th most populous city in the United States
  • The city is known for its banking industry and is home to several Fortune 500 companies
  • Charlotte offers a diverse range of cultural attractions, including museums, theaters, and sports teams

Work Schedule: Full-time (40 hours/week) during the internship period

ASSUMPTION: The intern's work environment and schedule may vary depending on the partner company they are assigned to.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Submit application through RippleMatch's platform
  • Phone or video screen with RippleMatch's recruitment team
  • On-site or virtual interview with the partner company's hiring manager
  • Background check and onboarding

Key Assessment Areas:

  • Analytical skills and problem-solving abilities
  • Communication and interpersonal skills
  • Cultural fit with the partner company

Application Tips:

  • Highlight relevant coursework and projects from your degree program
  • Include any prior experience with data analysis tools and techniques
  • Tailor your resume and cover letter to the specific partner company you are applying to

ATS Keywords: Marketing, Business Analytics, Statistics, Analytics, Data Analysis, Consumer Behavior, Campaign Performance, Reporting, Presentation, Problem Solving, Collaboration, Cross-functional Teams, Entry Level, Internship

ASSUMPTION: The application process may vary depending on the partner company the intern is assigned to.

πŸ› οΈ Tools & Technologies

  • Excel
  • Google Analytics
  • SQL or similar database querying language
  • Data visualization tools (e.g., Tableau, Power BI)
  • Programming languages for data analysis (e.g., Python, R)

ASSUMPTION: The tools and technologies used may vary depending on the partner company the intern is assigned to.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Innovation
  • Diversity & Inclusion
  • Collaboration
  • Continuous Learning

Work Style:

  • Data-driven decision making
  • Cross-functional collaboration
  • Proactive problem-solving
  • Adaptability to different work environments (as the intern will work with various partner companies)

Self-Assessment Questions:

  • How do you approach analyzing large datasets to identify trends and insights?
  • Can you describe a time when you had to collaborate with a cross-functional team to achieve a common goal?
  • How do you stay updated with the latest marketing trends and data analysis technologies?

ASSUMPTION: The intern's cultural fit will be assessed based on their alignment with the partner company's values and work style, as well as their adaptability to different work environments.

⚠️ Potential Challenges

  • Adapting to different work environments and company cultures as an intern with RippleMatch's partner companies
  • Managing multiple tasks and prioritizing workloads effectively
  • Staying updated with the latest marketing trends and data analysis technologies
  • Communicating complex data insights effectively to non-technical stakeholders

ASSUMPTION: The potential challenges for this role may vary depending on the partner company the intern is assigned to.

πŸ“ˆ Similar Roles Comparison

  • Unlike traditional marketing or analytics roles, this internship provides diverse exposure to various work environments and projects through RippleMatch's partnerships
  • Industry-specific context: Marketing analytics roles may vary depending on the industry and company size
  • Career path comparison: This internship can lead to full-time employment opportunities in marketing analytics or related fields

ASSUMPTION: The comparison points for this role may vary depending on the partner company the intern is assigned to.

πŸ“ Sample Projects

  • Analyzing market data to identify trends and make data-driven recommendations for a retail company
  • Evaluating campaign performance for a non-profit organization to optimize resource allocation
  • Collaborating with a cross-functional team to develop a data-driven marketing strategy for a tech startup

ASSUMPTION: The sample projects listed are examples of the types of tasks the intern may encounter, but the specific projects will vary depending on the partner company they are assigned to.

❓ Key Questions to Ask During Interview

  • What are the key priorities for this role in the first 30 days?
  • How does this role collaborate with other departments within the company?
  • What are the most challenging aspects of this role, and how can I best prepare for them?
  • What opportunities are there for professional development and growth within the company?
  • How does this role support the company's overall goals and objectives?

ASSUMPTION: The interview questions listed are examples of the types of questions the intern should ask, but the specific questions may vary depending on the partner company they are interviewing with.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through RippleMatch's platform
  • Tailor your resume and cover letter to highlight your relevant skills and experiences for the specific partner company you are applying to
  • Prepare for your interview by researching the partner company and practicing common interview questions
  • Follow up with RippleMatch's recruitment team after your interview to express your interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.