Remote Part‑Time Data Analyst – AI Modeling, Insight Generation & Business Intelligence for arenaflex Entertainment & Media (Work‑From‑Home)

About arenaflex

arenaflex is a global leader in entertainment, streaming, and sports media, delivering unforgettable experiences to millions of fans every day. With iconic brands spanning blockbuster movies, beloved television series, and live sports coverage, arenaflex combines creative storytelling with cutting‑edge technology to stay ahead of the ever‑evolving digital landscape. Our data‑driven culture empowers every team—from content creation to product development—to make smarter decisions, innovate faster, and keep audiences engaged worldwide. As a remote‑first organization, arenaflex offers flexible work arrangements, a collaborative virtual environment, and a commitment to diversity, inclusion, and continuous learning.

Why This Role Matters

In today’s fast‑paced media ecosystem, the ability to turn massive data streams into actionable insights is a competitive advantage. As a Lead Data Researcher on the Marketing Data Science & Analytics team, you will be at the heart of that transformation. Your models will influence revenue strategies, subscription growth, advertising effectiveness, and customer lifetime value across arenaflex’s portfolio of streaming services and sports platforms. This is a unique opportunity to shape the future of entertainment data science while enjoying the flexibility of a part‑time, fully remote position.

Key Responsibilities

Data‑Driven Modeling & AI Development

• Design, build, and iterate end‑to‑end AI and statistical models—from data ingestion and feature engineering to validation, deployment, and monitoring.
• Collaborate with engineering and product teams to productionize models, ensuring they scale reliably in cloud environments.
• Lead A/B testing and experimental frameworks to quantify model impact on key business metrics such as revenue, churn, and ad impressions.

Deep Analytical Research

• Conduct comprehensive analyses of audience behavior, brand performance, and marketing funnel metrics to uncover growth opportunities.
• Mine terabytes of structured and unstructured data (e.g., clickstreams, subscription logs, ad impressions) to surface hidden patterns and trends.
• Translate complex analytical findings into clear, actionable recommendations for senior leadership and cross‑functional partners.

Advanced Statistical Insight Generation

• Develop sophisticated statistical frameworks, including Bayesian inference, probabilistic programming, and causal inference models.
• Produce visualizations and narrative reports that communicate insights to both technical and non‑technical audiences.
• Maintain a repository of reusable analytical tools, notebooks, and documentation to accelerate future projects.

Strategic Business Partnership

• Partner closely with Marketing, Finance, Product, and Operations teams to identify high‑impact analytical problems.
• Facilitate data‑driven decision‑making by presenting findings in stakeholder meetings, workshops, and executive briefings.
• Champion best practices in data governance, reproducibility, and ethical AI across the organization.

Essential Qualifications

• 2+ years of hands‑on experience designing, building, and evaluating production‑grade AI or statistical solutions.
• 2+ years of professional experience with a quantitative programming language (e.g., Python, R, Scala) and relational databases (e.g., SQL, PostgreSQL).
• Demonstrated ability to translate business problems into analytical solutions and communicate results effectively.
• Strong analytical mindset with a high degree of curiosity and a passion for uncovering insights from large data sets.

Preferred Qualifications & Nice‑to‑Have Skills

• Expertise in Python libraries such as scikit‑learn, SciPy, pandas, and NumPy.
• Experience with Bayesian modeling and probabilistic programming frameworks like PyMC, Stan, or TensorFlow Probability.
• Familiarity with modern data platforms and tools: Databricks, Snowflake, Apache Spark, Jupyter notebooks, GitHub, and CI/CD pipelines.
• Background in the media, entertainment, or streaming industry, with an understanding of subscription economics and advertising metrics.
• Ability to work independently in a remote setting while maintaining strong communication and collaboration with distributed teams.

Core Skills & Competencies

• Statistical & Machine Learning Proficiency: Mastery of regression, classification, clustering, time‑series forecasting, and deep learning techniques.
• Data Engineering Acumen: Experience building robust data pipelines, handling large‑scale datasets, and ensuring data quality.
• Business Acumen: Understanding of key performance indicators (KPIs) such as ARPU, LTV, churn, CAC, and ad revenue.
• Communication & Storytelling: Ability to craft compelling narratives around data, using visualizations and concise executive summaries.
• Collaboration & Influence: Proven track record of partnering with cross‑functional stakeholders to drive data‑centric decisions.
• Adaptability & Learning Agility: Comfort with rapidly changing priorities, emerging technologies, and continuous skill development.

Career Development & Learning Opportunities

arenaflex invests heavily in the growth of its talent. As a part‑time member of our data science community, you will have access to:

• Mentorship from senior data scientists and industry experts who have built world‑class recommendation engines and ad‑targeting models.
• Annual learning stipend for conferences, certifications, or online courses (e.g., Coursera, Udacity, DataCamp).
• Opportunities to lead high‑visibility projects that directly impact revenue and user experience across multiple brands.
• Cross‑team rotations that allow you to explore product analytics, experimentation, or data engineering pathways.
• Regular knowledge‑sharing sessions, hackathons, and internal data science meetups to foster innovation.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, flexibility, and inclusion. Key aspects of life at arenaflex include:

• Flexible Scheduling: Choose the hours that best fit your lifestyle while meeting project milestones.
• Collaborative Virtual Spaces: Use cutting‑edge collaboration tools (Slack, Microsoft Teams, Miro) to stay connected with teammates worldwide.
• Diversity & Inclusion: A commitment to building a workforce that reflects the global audiences we serve.
• Well‑Being Programs: Access to mental‑health resources, virtual fitness classes, and ergonomic home‑office stipends.
• Recognition & Rewards: Regular shout‑outs, performance bonuses, and a culture that celebrates data‑driven wins.

Compensation, Benefits & Perks

arenaflex offers a competitive part‑time compensation package that includes:

• Hourly rate or pro‑rated salary aligned with market benchmarks for data science talent.
• Performance‑based bonuses tied to the impact of your analytical projects.
• Comprehensive health, dental, and vision coverage (eligible part‑time employees).
• Retirement savings plan with employer matching contributions.
• Paid time off, holidays, and a flexible vacation policy.
• Technology allowance for home‑office equipment, high‑speed internet, and software licenses.
• Access to arenaflex’s employee assistance program, wellness apps, and virtual social events.

How to Apply

If you are a data‑savvy professional who thrives on solving complex business problems, loves working in a dynamic entertainment environment, and seeks the freedom of a remote part‑time role, we want to hear from you. Join arenaflex’s mission to turn data into unforgettable experiences for audiences worldwide.

Take the next step in your career—apply today and become a key contributor to arenaflex’s data‑driven future!

Apply Now