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Marketing Analytics Intern, application via RippleMatch

RippleMatch Opportunities
Full-time
On-site
Philadelphia, Pennsylvania, United States

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Analytics Intern

πŸ”Ή Company: RippleMatch (Partnering with various organizations)

πŸ”Ή Location: Philadelphia, PA

πŸ”Ή Job Type: Internship

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: May 16, 2025

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

πŸ”Ή Remote Status: Remote OK

πŸš€ Job Overview

Key aspects of this role include:

  • Assisting in market data, consumer behavior, and campaign performance analysis
  • Preparing detailed reports and presentations to communicate findings and recommendations
  • Collaborating with cross-functional teams to drive data-driven marketing strategies
  • Gaining hands-on experience in marketing analytics and data analysis

ASSUMPTION: This role involves a significant amount of data analysis and interpretation, requiring strong analytical skills and a proactive approach to identifying trends and insights.

πŸ“‹ Key Responsibilities

βœ… Assist in the analysis of market data, consumer behavior, and campaign performance

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

βœ… Contribute to collaborative projects and manage multiple tasks

βœ… Work with large datasets and perform detailed statistical analysis

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

ASSUMPTION: The intern will be expected to work independently on tasks and take initiative in exploring new data sources and analysis methods.

🎯 Required Qualifications

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

Experience: No prior work experience is required for this internship.

Required Skills:

  • Basic understanding of marketing principles and analytics techniques
  • Strong analytical skills
  • Proficiency with analytical tools and software such as Excel, Google Analytics
  • Ability to work with large datasets and perform statistical analysis
  • Good organizational and project management skills
  • Strong problem-solving skills and a proactive approach to identifying trends and insights in data
  • Effective communication and interpersonal skills

Preferred Skills:

  • Experience with SQL or similar database querying language
  • Familiarity with marketing automation tools (e.g., HubSpot, Marketo)

ASSUMPTION: While not explicitly stated, having some familiarity with marketing automation tools and SQL could be beneficial for this role.

πŸ’° Compensation & Benefits

Salary Range: Industry standards for marketing analytics internships in Philadelphia typically range from $15 to $20 per hour. However, this may vary depending on the specific partnering organization.

Benefits:

  • Gain valuable work experience in marketing analytics
  • Opportunity to work with various organizations through RippleMatch's partner network
  • Potential for full-time employment after the internship, depending on performance and organizational needs

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

ASSUMPTION: The salary range provided is an estimate based on industry standards for marketing analytics internships in the Philadelphia area. Actual compensation may vary depending on the partnering organization.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: RippleMatch operates in the technology and recruitment sectors, focusing on automating the recruitment process for both employers and job seekers.

Company Size: RippleMatch has 51-200 employees, providing an environment where interns can work on impactful projects and interact with various teams.

Founded: RippleMatch was founded in 2016, making it a relatively young and innovative company.

Company Description:

  • RippleMatch is an AI-powered job matchmaker that connects job seekers with top employers and opportunities
  • The platform uses matching algorithms to bring relevant job opportunities directly to candidates
  • RippleMatch partners with hundreds of companies looking to hire top talent, providing interns with diverse experiences

Company Specialties:

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

Company Website: https://ripplematch.com/employers

ASSUMPTION: RippleMatch's focus on automation and AI in recruitment may provide interns with exposure to cutting-edge technologies and innovative recruitment strategies.

πŸ“Š Role Analysis

Career Level: This internship is an entry-level position, ideal for students pursuing degrees in marketing, business analytics, or related fields.

Reporting Structure: The intern will likely report to a marketing or analytics manager within the partnering organization.

Work Arrangement: The internship is remote-friendly, allowing for flexible work arrangements.

Growth Opportunities:

  • Gain practical experience in marketing analytics and data analysis
  • Develop strong communication and presentation skills
  • Build professional relationships with industry professionals
  • Potential for full-time employment after the internship, depending on performance and organizational needs

ASSUMPTION: The internship provides ample opportunities for growth and learning, with the potential for long-term career prospects within the partnering organization.

🌍 Location & Work Environment

Office Type: Remote-friendly, with the possibility of on-site work depending on the partnering organization's policies.

Office Location(s): Philadelphia, PA (with potential remote work options)

Geographic Context:

  • Philadelphia is the largest city in Pennsylvania, offering a diverse range of cultural, historical, and recreational opportunities
  • The city is home to numerous Fortune 500 companies and startups, providing a vibrant job market
  • Philadelphia has a humid subtropical climate, with warm summers and cold, snowy winters

Work Schedule: Full-time (40 hours/week) during the internship period, with potential flexibility depending on the partnering organization's policies.

ASSUMPTION: The remote-friendly work environment allows for greater flexibility and work-life balance, while the Philadelphia location offers a dynamic and engaging city to explore.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Submit your application through the provided link
  • Complete an initial screening, which may include a phone or video call
  • Participate in one or more interviews with RippleMatch and/or the partnering organization
  • Receive an offer and onboarding information

Key Assessment Areas:

  • Analytical skills and problem-solving abilities
  • Communication and presentation skills
  • Cultural fit with the partnering organization
  • Enthusiasm for learning and growth in marketing analytics

Application Tips:

  • Tailor your resume and cover letter to highlight your analytical skills, marketing knowledge, and relevant coursework
  • Prepare for behavioral and situational interview questions that assess your problem-solving skills and ability to work with data
  • Research the partnering organization to demonstrate your interest in and understanding of their mission and values

ATS Keywords: Marketing, Analytics, Data Analysis, Consumer Behavior, Campaign Performance, Statistical Analysis, Presentation Skills, Communication Skills, Problem-Solving, Marketing Principles, Google Analytics, Excel

ASSUMPTION: The application process may vary depending on the partnering organization, but generally, candidates should expect a thorough evaluation of their analytical and communication skills.

πŸ› οΈ Tools & Technologies

  • Excel
  • Google Analytics
  • SQL (preferred)
  • Marketing automation tools (e.g., HubSpot, Marketo)

ASSUMPTION: Familiarity with these tools and technologies will be beneficial for the internship, but RippleMatch may provide training or resources to help interns develop their skills.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Innovation
  • Data-driven decision making
  • Customer-centric approach
  • Collaboration and teamwork

Work Style:

  • Analytical and detail-oriented
  • Proactive and self-motivated
  • Strong communication and presentation skills
  • Adaptable and open to learning new tools and technologies

Self-Assessment Questions:

  • Do I have a strong foundation in marketing principles and analytics techniques?
  • Am I comfortable working with large datasets and performing statistical analysis?
  • Can I effectively communicate complex data insights to non-technical stakeholders?
  • Am I eager to learn about the latest marketing trends and data analysis technologies?

ASSUMPTION: Interns should assess their fit with RippleMatch's values and work style to ensure a successful and fulfilling internship experience.

⚠️ Potential Challenges

  • Working with large and complex datasets may require significant time and effort to clean and analyze
  • Communicating data insights to non-technical stakeholders may require strong presentation and storytelling skills
  • Keeping up with the latest marketing trends and technologies may require continuous learning and adaptation
  • Working remotely may present challenges in maintaining focus and productivity

ASSUMPTION: These challenges can be overcome with strong problem-solving skills, effective communication, and a proactive approach to learning and growth.

πŸ“ˆ Similar Roles Comparison

  • Marketing Coordinator: Focuses more on day-to-day marketing tasks and campaign management, with less emphasis on data analysis
  • Business Analyst: Primarily focused on data analysis and reporting, with less emphasis on marketing-specific insights
  • Marketing Specialist: Typically involves a mix of marketing strategy, campaign management, and data analysis, but may not require as deep an understanding of statistical analysis

ASSUMPTION: This marketing analytics internship offers a unique blend of marketing and data analysis responsibilities, providing a well-rounded experience for candidates interested in both fields.

πŸ“ Sample Projects

  • Analyze customer segmentation data to identify high-value customer segments and develop targeted marketing campaigns
  • Evaluate the performance of marketing campaigns using A/B testing and other analytical methods to optimize future campaigns
  • Develop and maintain marketing dashboards to track key performance indicators (KPIs) and provide data-driven insights to stakeholders

ASSUMPTION: These sample projects illustrate the types of tasks and responsibilities interns may encounter during their internship, focusing on data analysis and marketing strategy.

❓ Key Questions to Ask During Interview

  • What are the most pressing marketing analytics challenges facing the partnering organization?
  • How does this internship fit into the partnering organization's long-term marketing strategy?
  • What opportunities are there for professional development and growth during the internship?
  • How does the partnering organization support work-life balance for remote employees?
  • What are the next steps for applicants who receive an offer for this internship?

ASSUMPTION: Asking thoughtful questions during the interview process demonstrates your interest in and preparation for the role, while also providing valuable insights into the company culture and expectations.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to highlight your analytical skills, marketing knowledge, and relevant coursework
  • Prepare for behavioral and situational interview questions that assess your problem-solving skills and ability to work with data
  • Research the partnering organization to demonstrate your interest in and understanding of their mission and values
  • Follow up with RippleMatch after submitting your application to confirm receipt and inquire about next steps

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