Data Entry Analyst – Remote Summer 2024 IT Operations Research Internship at arenaflex – $24/hr – Full‑Time, 8‑Hour Days, Georgia/Minneapolis

Welcome to arenaflex – Where Data Powers the Future of Flight

At arenaflex, we are redefining the aviation experience through cutting‑edge technology, relentless innovation, and a commitment to safety and customer delight. As a global leader in air travel, arenaflex relies on a diverse community of thinkers, builders, and problem‑solvers to keep our fleet soaring, our passengers smiling, and our operations humming. Our IT Operations Research and Data Science teams are the engine room that transforms raw data into strategic insight, enabling smarter decisions across revenue, freight, customer experience, and technology operations.

We are looking for bright, motivated undergraduate students to join us for a summer internship that blends real‑world impact with professional growth. If you thrive on turning messy data into actionable models, love writing clean Python code, and are eager to see your work influence a Fortune‑500 airline’s daily operations, this is the opportunity you’ve been waiting for.

About the Role – IT Operations Research Data Science Intern (Data Entry Focus)

This full‑time, eight‑hour‑per‑day internship is designed for students who have completed at least two years of a bachelor’s program in a quantitative discipline. You will work side‑by‑side with senior data scientists, operations analysts, and business leaders to extract, clean, and explore data from multiple internal sources. Your work will directly support the development of predictive models that guide aircraft scheduling, route optimization, and revenue management.

While the position is remote‑first, you will be based out of either the arenaflex Atlanta, GA office or the Minneapolis‑St. Paul, MN hub, depending on interview outcomes. Our hybrid work model blends in‑office collaboration with flexible remote days, ensuring you get the best of both worlds.

Key Responsibilities

• Collect, ingest, and validate large data sets from internal arenaflex systems, external APIs, and third‑party providers.
• Perform exploratory data analysis (EDA) using Python (pandas, NumPy, matplotlib, seaborn) to uncover trends, anomalies, and opportunities.
• Develop and maintain Python scripts that automate data cleaning, transformation, and loading (ETL) pipelines.
• Build and evaluate statistical and machine‑learning models (regression, classification, time‑series) to forecast passenger demand, flight delays, and cargo capacity.
• Collaborate with cross‑functional teams—Revenue Management, Operations, Customer Experience, and IT—to translate model outputs into actionable recommendations.
• Prepare concise, visually compelling presentations for senior stakeholders, summarizing methodology, findings, and business impact.
• Document code, data dictionaries, and workflow processes to ensure reproducibility and knowledge sharing.
• Adhere to arenaflex’s data security and privacy standards, safeguarding sensitive operational and customer information.
• Participate in weekly mentorship sessions, hackathons, and knowledge‑sharing forums to continuously sharpen technical and soft skills.

Essential Qualifications (Must‑Have)

• Current enrollment in a Bachelor’s program with a minimum 3.0 GPA, majoring in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related field.
• Proficiency in Python programming, including experience with data‑analysis libraries (pandas, NumPy) and SQL for data extraction.
• Strong analytical mindset with the ability to interpret complex data sets and communicate insights clearly.
• Excellent written and verbal communication skills, with a track record of presenting technical material to non‑technical audiences.
• Demonstrated teamwork and collaboration abilities; comfortable seeking guidance and offering constructive feedback.
• Commitment to safety, data privacy, and ethical handling of information.
• Interest in pursuing a full‑time role at arenaflex after graduation, contingent upon performance and business needs.

Preferred Qualifications (Nice‑to‑Have)

• Experience with cloud platforms, particularly Amazon Web Services (AWS), including services such as S3, EC2, or SageMaker.
• Familiarity with machine‑learning frameworks (scikit‑learn, TensorFlow, PyTorch) and the ability to prototype AI models.
• Exposure to big‑data tools (Spark, Hadoop) or data‑visualization platforms (Tableau, Power BI).
• Previous internship or project experience in airline operations, logistics, or revenue management.
• Knowledge of statistical testing, hypothesis validation, and A/B testing methodologies.

Core Skills & Competencies

• Technical Acumen: Ability to write clean, efficient code; troubleshoot data pipelines; and apply statistical techniques.
• Critical Thinking: Evaluate data quality, question assumptions, and propose data‑driven solutions.
• Problem‑Solving: Tackle ambiguous business problems, break them into manageable tasks, and iterate toward solutions.
• Communication: Translate technical findings into business language; create clear visualizations and executive‑level summaries.
• Adaptability: Thrive in a fast‑paced, dynamic environment where priorities can shift quickly.
• Collaboration: Work effectively across diverse teams, respecting different perspectives and cultural backgrounds.
• Integrity & Safety: Prioritize data security, compliance, and ethical considerations in every task.

Learning & Development Opportunities

During your 12‑week internship, you will gain exposure to the full data lifecycle at a leading airline, from raw data ingestion to model deployment. arenaflex offers:

• Mentorship from senior data scientists and operations leaders who will guide your technical growth.
• Access to internal training portals covering advanced Python, AWS certifications, and AI ethics.
• Participation in a company‑wide “Innovation Sprint” where interns pitch data‑driven ideas to senior executives.
• Networking events with alumni, recruiters, and business partners to explore future career paths.
• Feedback loops and performance reviews that help you refine your skill set and set clear post‑internship goals.

Career Path & Future Opportunities

Successful interns are often considered for full‑time roles within arenaflex’s Data Science, Analytics, or IT Operations teams. The company’s growth trajectory offers multiple ladders:

• Data Analyst → Senior Analyst → Data Science Manager → Director of Analytics.
• Operations Research Analyst → Lead Operations Researcher → VP of Operations Strategy.
• Software Engineer (Data‑focused) → Platform Engineer → Cloud Architecture Lead.

Regardless of the path you choose, arenaflex invests in continuous learning, tuition reimbursement, and leadership development programs to ensure you can reach your full potential.

Work Environment & Culture at arenaflex

arenaflex prides itself on a culture of inclusion, curiosity, and relentless improvement. Our employees describe the workplace as:

• Collaborative: Cross‑functional teams work together to solve complex problems, sharing knowledge openly.
• Innovative: We encourage experimentation, rapid prototyping, and the adoption of emerging technologies.
• People‑First: Employee well‑being, work‑life balance, and mental health are top priorities, with flexible schedules and wellness resources.
• Diverse: A global workforce representing many backgrounds, perspectives, and experiences fuels our creativity.
• Mission‑Driven: Every project ties back to our core mission—connecting people and places safely and efficiently.

Compensation, Perks & Benefits

While the internship pays a competitive hourly rate of $24 per hour, arenaflex also offers a comprehensive benefits package that includes:

• Paid time off and holidays to recharge.
• Access to a virtual health and wellness platform.
• Employee assistance programs for counseling and financial advice.
• Discounted airline tickets for personal travel.
• Professional development stipend for conferences, certifications, or coursework.
• Mentorship and networking events designed to accelerate career growth.

How to Apply

If you are ready to dive into real‑world data challenges, collaborate with industry experts, and make a tangible impact on a global airline’s operations, we want to hear from you. Submit your resume, a brief cover letter outlining your interest in data science and arenaflex, and any relevant project portfolios or GitHub links.

Take the first step toward a rewarding career at arenaflex—apply today and help us shape the future of flight.

Apply Now