Data Entry Analyst – Summer Internship – Advanced Analytics & Business Intelligence – $30/hr – arenaflex

About arenaflex – Pioneering the Future of Aviation & Technology

arenaflex is a global leader in aviation, renowned for its relentless focus on safety, reliability, and an unparalleled customer experience. With a legacy spanning more than a decade, arenaflex has consistently set the benchmark for operational excellence while driving innovation across every facet of the airline industry. Our Operations Research & Data Science team is at the heart of this transformation, developing predictive models and data‑driven solutions that empower the Revenue Management, Cargo, Customer Experience, and Technology Operations divisions to make smarter, faster decisions.

As part of our commitment to nurturing the next generation of technology talent, arenaflex offers a highly competitive summer internship that blends real‑world impact with professional development. If you are passionate about turning raw data into actionable insights and want to experience the fast‑paced environment of a world‑class airline, this is the opportunity you’ve been waiting for.

Position Overview – Data Entry Analyst (Summer Intern)

Location: Atlanta, GA or Minneapolis‑St. Paul, MN (hybrid work model – a blend of on‑site collaboration and remote flexibility). This 13‑week full‑time internship (May 13 – August 9, 2024) is designed for students who are eager to apply their academic knowledge to solve complex business problems, develop Python and SQL scripts, and build predictive models that directly influence arenaflex’s strategic initiatives.

Key Responsibilities

• Collect, cleanse, and integrate data from multiple internal and external sources, ensuring data integrity and compliance with arenaflex’s data governance standards.
• Develop and maintain Python scripts to automate data extraction, transformation, and loading (ETL) processes.
• Design, train, and evaluate machine‑learning models that forecast operational trends, such as passenger demand, cargo volumes, and resource utilization.
• Collaborate with senior data scientists, business analysts, and domain experts to translate business questions into analytical solutions.
• Prepare clear, concise visualizations and presentations that communicate findings to Operations Research and Business Leaders.
• Participate in daily stand‑ups, sprint planning, and retrospective meetings within an Agile framework.
• Document code, methodologies, and data pipelines to ensure reproducibility and knowledge sharing across the team.
• Identify opportunities for process improvement, recommending automation or analytical enhancements that drive efficiency.
• Adhere to safety, security, and privacy protocols, safeguarding both personal and corporate data.
• Deliver a comprehensive final project presentation at the end of the internship, highlighting impact, challenges, and next steps.

Essential Qualifications

• Current enrollment in a Bachelor’s or Master’s program (minimum 2 years completed) with a focus on Data Science, Computer Science, Statistics, Software Engineering, or a related discipline.
• Overall GPA of 3.0 or higher.
• Proficiency in Python (including libraries such as pandas, NumPy, scikit‑learn, and matplotlib) and SQL (experience with relational databases like PostgreSQL, MySQL, or Microsoft SQL Server).
• Demonstrated ability to work independently while actively seeking guidance and feedback when needed.
• Strong analytical thinking, problem‑solving aptitude, and the capacity to synthesize large data sets into actionable insights.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
• Eligibility to work in the United States (U.S. citizenship, permanent residency, or appropriate work authorization).
• Availability to commit to the full 13‑week internship schedule, including any required on‑site days.

Preferred Qualifications & Additional Skills

• Experience with cloud platforms, particularly Amazon Web Services (AWS), including services such as S3, EC2, and SageMaker.
• Exposure to building or deploying AI/ML models in a production environment.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or Plotly).
• Knowledge of version control systems (Git) and collaborative development workflows.
• Understanding of airline industry fundamentals, such as revenue management or cargo logistics, is a plus but not required.
• Demonstrated teamwork in diverse, multicultural settings, with an appreciation for varied perspectives and ideas.

Core Competencies for Success

• Data Literacy: Ability to interpret, manipulate, and draw conclusions from complex data sets.
• Technical Rigor: Strong coding practices, debugging skills, and attention to detail.
• Critical Thinking: Capacity to ask the right questions, challenge assumptions, and propose innovative solutions.
• Collaboration: Comfortable working in cross‑functional teams, sharing knowledge, and building consensus.
• Adaptability: Thrive in a fast‑changing environment, quickly pivoting when priorities shift.
• Ethical Responsibility: Commitment to data privacy, security, and ethical use of analytics.

Career Growth & Learning Opportunities

During the internship, you will be paired with a dedicated mentor from arenaflex’s senior data science staff. This mentorship includes weekly one‑on‑one sessions, technical workshops, and exposure to real‑time production systems. Interns gain hands‑on experience with:

• End‑to‑end data pipelines, from ingestion to model deployment.
• Advanced analytics techniques, including time‑series forecasting, clustering, and natural language processing.
• Enterprise‑grade cloud infrastructure and DevOps best practices.
• Strategic business decision‑making processes within a Fortune‑500 airline.

High‑performing interns are often considered for full‑time offers upon graduation, providing a direct pathway to a rewarding career at arenaflex.

Work Environment & Culture at arenaflex

arenaflex fosters an inclusive, collaborative, and innovative culture where every voice matters. Our teams operate in open‑plan offices that encourage spontaneous idea exchange, while also offering quiet zones for focused work. The hybrid model balances the energy of in‑person collaboration with the flexibility of remote productivity. Regular social events, tech talks, and community outreach programs reinforce our commitment to employee well‑being and professional growth.

Compensation, Perks, & Benefits

• Competitive hourly wage of $30 per hour, paid bi‑weekly.
• Access to arenaflex’s employee assistance program, health and wellness resources, and on‑site fitness facilities (where available).
• Free meals and snacks on select campus locations, plus discounted airline tickets for personal travel.
• Professional development budget for conferences, certifications, or online courses.
• Transportation subsidies and parking vouchers for on‑site days.
• Mentorship, networking events, and a structured onboarding experience.

How to Apply

If you are ready to dive into data, solve real‑world challenges, and launch your career with a global aviation leader, we encourage you to submit your application today. Include a resume, a brief cover letter outlining your interest in data analytics, and any relevant project work or GitHub repositories.

Join arenaflex’s Data Science Internship and become part of a team that turns data into decisive action—helping millions of travelers experience safe, reliable, and delightful journeys every day.

Apply Now