Analytics Intern

ABOUT 4MATIV TECHNOLOGIES, INC.

4MATIV Technologies manages multi-modal mobility for school systems nationwide with technology to expand options and enhance service. We envision a future where all children have access to the learning opportunities that maximize their potential, and we are reimagining transportation to accelerate student outcomes. 

We partner with schools to improve service, safety, and holistic sustainability, ensuring all students have access to the right ride. Currently, we manage transportation for over 50 school districts across cities including Houston, Indianapolis, Minneapolis-St. Paul, and Phoenix, simplifying operations and expanding services for families. Every school day, 4MATIV manages outsourced vendors and operates a contact center supporting more than 22,000 student trips across over 1,000 routes for schools across the country.

Our team is committed to:

• Working shoulder-to-shoulder with our clients as a mission-aligned and trusted partner
• Building user-centered products to create lasting impact for districts and students
• Valuing diversity of perspectives and experiences
• Care for every detail and outcome
• Highest standards of service and safety
• Constant learning and improvement

POSITION OVERVIEW

The Analytics Intern will support 4MATIV’s internal Data & Analytics team in building tools that make our data more accessible and actionable across the organization. This is a project-based internship focused on developing and documenting a tool that enables staff to pull, analyze, and visualize key performance data on a regular cadence.

In this role, you’ll contribute to the design, development, and testing of this internal analytics solution, gaining hands-on experience in data transformation, visualization, and process automation. This is an excellent opportunity for students interested in data analytics, visualization, and applied problem-solving within a mission-driven company.

The internship will run from January 2026 through June 2026, with expected weekly commitment between 5 and 15 hours per week depending on availability.

RESPONSIBILITIES

• Assist in designing and developing an internal analytics tool using Google Sheets, BigQuery, and/or other visualization platforms
• Support data extraction and transformation processes using SQL and BigQuery
• Collaborate with team members to define business requirements and develop key metrics and dashboards
• Build scripts or automations to streamline recurring data pulls and report updates
• Help document workflows, data sources, and best practices for ongoing maintenance
• Summarize and present analytical findings for internal stakeholders in clear, actionable formats

LEARNING OUTCOMES

By the end of the internship, the Analytics Intern will:

• Gain experience in applied data analysis, visualization, and automation
• Learn how to translate operational data into insights that inform decision-making
• Build familiarity with cloud data tools such as BigQuery and AWS
• Develop collaboration and communication skills in a fast-paced, cross-functional environment

QUALIFICATIONS

• Senior standing (or exceptional junior) pursuing a degree in Data Science, Data Analytics, Computer Science, Mathematics, or a related field. Will consider applications for recent graduates in some cases.
• Strong analytical and problem-solving skills
• Familiarity with Excel and Google Sheets
• Basic knowledge of Python
• Excellent communication skills and attention to detail
• A desire to learn and contribute to meaningful internal projects

PREFERRED QUALIFICATIONS

• Experience with Google BigQuery or other cloud data warehouses
• Familiarity with data visualization tools (e.g., Looker Studio, Power BI, Tableau)
• Experience with process automation or scripting (e.g., Apps Script, Python)
• Interest in operational analytics, data-driven decision-making, or the education sector

CORE COMPETENCIES

• User-focus: Maintains consistent focus on the overarching purpose of analyses, ensuring analyses meet user needs while considering the user experience and perspective. 
• Self-motivation: Takes initiative, working independently with minimal supervision, setting clear goals, and driving progress.
• Problem-solving: Tackles complex data projects with persistence, creativity, and a strong curiosity to find innovative solutions.
• Attention to details: Effectively manages multiple tasks, prioritizing work to deliver thorough, error-free results on-time

Effective communication: Exhibits strong communication skills, both written and verbal, to engage diverse stakeholders clearly and professionally.

Pay Range: $25 – $30/hr