Why arenaflex?
arenaflex is a global leader in streaming entertainment, delivering world‑class content across a suite of platforms that includes live sports, original series, movies, and on‑demand experiences. Our Direct‑to‑Consumer (DTC) business unit powers the arenaflex Pack – the integrated subscription offering that unites all of our streaming services under one seamless experience for millions of households worldwide. As the industry continues to evolve, arenaflex is at the forefront of leveraging data, analytics, and cutting‑edge technology to shape the future of entertainment consumption. We are looking for passionate, data‑driven professionals who thrive on turning massive data sets into actionable business insight, and who want to be part of a vibrant, innovative culture that values curiosity, collaboration, and continuous learning.
Position Overview
The Information Investigator (Senior Data Analyst) will become an essential member of arenaflex’s Pack Research & Experimentation team. This remote role focuses on building and sustaining a high‑velocity data pipeline that fuels strategic decisions across product, marketing, finance, and engineering. You will partner with cross‑functional stakeholders to uncover hidden patterns, test hypotheses, and translate complex analytical findings into clear, compelling narratives that drive the growth of the arenaflex Pack.
Key Responsibilities
Strategic Data Collaboration
- Partner closely with business leaders to identify the most pressing strategic questions surrounding Pack adoption, churn, and lifetime value.
- Translate business problems into analytical frameworks, ensuring alignment with overall DTC objectives.
- Facilitate regular cross‑team workshops to surface data needs, share insights, and prioritize experimentation road‑maps.
End‑to‑End Data Pipeline Management
- Design, develop, and maintain a continuous data‑informed insights pipeline that delivers timely, accurate Pack intelligence to all internal partners.
- Implement robust data ingestion, transformation, and validation processes using modern data engineering tools.
- Monitor data quality, troubleshoot pipeline failures, and proactively propose enhancements to improve reliability.
Advanced Analytical Research
- Conduct comprehensive pattern analyses, including cohort studies, segmentation, and predictive modeling to uncover drivers of subscriber behavior.
- Apply statistical techniques—regression, hypothesis testing, causal inference, and Bayesian methods—to evaluate product experiments and marketing initiatives.
- Develop and maintain sophisticated AB‑testing frameworks, ensuring statistical rigor and actionable outcomes.
Customer Segmentation & Growth Modeling
- Identify, profile, and track distinct customer segments to inform personalized marketing, product feature prioritization, and retention strategies.
- Build growth models that forecast subscription acquisition, churn, and revenue under various market scenarios.
- Collaborate with the data engineering team to integrate external data sources (e.g., third‑party demographic data, social listening feeds) into the analytical ecosystem.
Storytelling & Business Enablement
- Synthesize findings into clear, visual stories using dashboards (Looker, Tableau, Power BI) and data visualization tools (Scene, Looker Studio).
- Produce executive‑ready decks that translate complex analyses into strategic recommendations for senior leadership.
- Act as a trusted advisor, guiding product, marketing, and finance teams on data‑driven decision making.
Essential Qualifications
- Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Advanced degree (MS/PhD) is a plus.
- Experience: Minimum 3 years of hands‑on analytical experience in a fast‑paced, data‑centric environment.
- Technical Proficiency: Advanced expertise in at least one statistical programming language (Python, R, or SAS) and strong SQL skills for data extraction and manipulation.
- Statistical Knowledge: Deep understanding of predictive modeling, hypothesis testing, experimental design, and data mining techniques.
- Data Visualization: Proven ability to create compelling visual narratives using tools such as Looker, Tableau, Power BI, or similar platforms.
- Analytical Mindset: Demonstrated ability to translate large, complex data sets into clear business insights and actionable recommendations.
- Communication Skills: Exceptional storytelling ability, both written and verbal, with a talent for presenting technical concepts to non‑technical audiences.
- Problem‑Solving: Strong logical reasoning, critical thinking, and a passion for tackling ambiguous, multi‑dimensional business challenges.
- Team Collaboration: Experience working in cross‑functional teams, including product, marketing, engineering, and finance.
Preferred Qualifications
- Experience in the streaming media industry, subscription‑based services, or other consumer entertainment sectors.
- Background working closely with advertising teams or within a performance‑marketing environment.
- Familiarity with cloud‑based data platforms (Snowflake, BigQuery, Redshift) and modern data engineering workflows.
- Knowledge of machine learning frameworks (scikit‑learn, TensorFlow, PyTorch) for building predictive models.
- Hands‑on experience with A/B testing platforms and experiment tracking tools.
- Exposure to product analytics and user‑journey mapping for digital experiences.
Core Skills & Competencies
- Data Wrangling: Ability to clean, transform, and manipulate large relational and semi‑structured data sets.
- Statistical Rigor: Strong foundation in inferential statistics and the ability to interpret results with confidence.
- Strategic Insight: Capacity to connect data findings to broader business strategies and market dynamics.
- Visualization & Storytelling: Skillful creation of dashboards and reports that highlight key performance indicators and trends.
- Collaboration: Proactive partnership with stakeholders across the organization to ensure data alignment and shared goals.
- Continuous Learning: Commitment to staying current with emerging analytical tools, methodologies, and industry best practices.
- Adaptability: Comfort operating in a fast‑changing environment, with the ability to prioritize and manage multiple initiatives simultaneously.
Career Growth & Learning Opportunities
arenaflex invests heavily in the development of its talent. As a senior analyst, you will have access to:
- Mentorship programs with senior data scientists and product leaders.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Quarterly internal “Analytics Hackathons” where you can experiment with new tools and present innovative solutions.
- Cross‑functional rotation programs that expose you to product management, marketing strategy, and finance.
- Leadership pathways that can lead to roles such as Data Science Manager, Analytics Director, or Head of Business Insights.
Work Environment & Culture at arenaflex
We foster a remote‑first culture that values flexibility, autonomy, and a strong sense of community. Our teams are united by a shared passion for entertainment and innovation. Key cultural pillars include:
- Collaboration: Regular virtual coffee chats, team‑wide retrospectives, and open‑door office hours with senior leadership.
- Innovation: Encouragement to experiment, fail fast, and iterate—backed by a robust data infrastructure.
- Diversity & Inclusion: A commitment to building a workplace where diverse perspectives are celebrated and all voices are heard.
- Work‑Life Balance: Flexible schedules, generous paid time off, and mental‑health resources to support holistic well‑being.
Compensation, Perks & Benefits
arenaflex offers a competitive total rewards package designed to attract and retain top talent:
- Market‑aligned base salary with performance‑based bonuses tied to impact and business outcomes.
- Equity participation through stock options or restricted stock units.
- Comprehensive health, dental, and vision plans, including telehealth services.
- Retirement savings plan with company matching contributions.
- Professional development stipend for conferences, courses, and certifications.
- Home office allowance to equip your remote workspace with ergonomic furniture and technology.
- Annual wellness stipend, virtual fitness classes, and mental‑health resources.
- Generous parental leave policies and family‑friendly benefits.
How to Apply
If you are eager to shape the future of streaming entertainment through data‑driven insight, we want to hear from you. Join arenaflex’s dynamic Pack Research team and help us deliver unforgettable experiences to millions of subscribers worldwide.
Apply Now – Submit Your Resume & Portfolio
Final Thoughts
At arenaflex, the power of data is at the heart of every strategic decision. As a Senior Data Analyst, you will not only uncover the stories hidden in our massive data sets but also influence the direction of our products, marketing campaigns, and growth initiatives. This is your chance to work remotely with a world‑class entertainment brand, collaborate with brilliant minds, and accelerate your career in a fast‑growing industry. Take the next step—apply today and become a catalyst for innovation at arenaflex!