Experienced Information Investigator – Advanced Data Analysis and Business Insights

At arenaflex, we're on a mission to revolutionize the way we understand and interact with our customers. As a key member of our Pack Trial and Error and Examination group, you'll play a vital role in supporting the Disney Pack, including Hulu, Disney+, and ESPN+, in a single, unified platform. This drive is crucial to the expansion of Direct-to-Consumer (DTC) real-time features in the US. Our team utilizes data, statistical modeling, experimentation frameworks, and various tools to empower our business clients with informed, data-driven decisions. We're committed to gaining a deeper understanding of Pack patterns supporters and client behavior end-to-end by offering support across experimentation, analysis, and comprehensive reporting. In this role, the Information Investigator will collaborate with Marketing, Product, Data Science, Data Operations, and other groups to not only provide high-visibility insights on Pack growth but also become a trusted thought partner to our colleagues, helping to drive process improvements. We're seeking someone who is passionate about leveraging large datasets to tackle complex business challenges!

Key Responsibilities:

* Collaborate closely with business leaders to identify the most pressing business challenges on Pack patterns and drivers and develop insightful solutions to address these questions

• Help create a continuous experiences pipeline, ensuring that all colleagues have a steady stream of Pack intel
• Perform comprehensive pattern analyses, assessing the contributions of drivers from every conceivable angle
• Define and investigate audience segments to drive Pack growth
• Work with other Examination groups to understand and leverage all relevant Pack data from various sources, integrating insights into a cohesive, meaningful story
• Develop and maintain relationships with key stakeholders across the organization to ensure seamless collaboration and knowledge sharing

Essential Capabilities:

* Bachelor's degree in Data Analysis, Statistics, Data Science, or a related field of study, along with relevant work experience

• Minimum of 3 years of hands-on analytical work experience with R/Python/SAS (or another statistical analysis tool) and SQL
• Knowledge of statistical modeling, AI, and other quantitative methodologies, including but not limited to direct and indirect regression, hypothesis testing, data preparation for modeling, and segmentation techniques
• Ability to manage large datasets, interpret data patterns, and utilize a multitude of different data sources and tools
• Experience with data visualization tools like Tableau, Looker, etc.
• Demonstrated analytical skills with the ability to apply business acumen to data analysis and recommendations
• Exceptional communication skills, including the ability to tell a story with data and organize findings into actionable proposals
• Capacity to think critically, analyze and interpret market and customer data
• Familiarity with creating, executing, and analyzing complex A/B/MVT test builds

Preferred Capabilities:

* Experience in the streaming media industry or other membership-based services

• Experience working with Advertising teams or in the Marketing space

Why Join arenaflex?

* Collaborative and dynamic work environment with a focus on innovation and experimentation

• Opportunities for career growth and professional development in a rapidly evolving industry
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off
• Flexible work arrangements, including remote work options and flexible hours
• Access to cutting-edge tools and technologies, including data visualization and machine learning platforms
• Collaborative and supportive team culture with a focus on work-life balance

What We Offer:

* Competitive salary and bonus structure

• Comprehensive benefits package, including health insurance, retirement savings, and paid time off
• Flexible work arrangements, including remote work options and flexible hours
• Access to cutting-edge tools and technologies, including data visualization and machine learning platforms
• Collaborative and supportive team culture with a focus on work-life balance

How to Apply:

If you're a motivated and analytical individual with a passion for leveraging data to drive business insights, we encourage you to apply for this exciting opportunity! Please submit your resume and a cover letter outlining your relevant experience and qualifications. We can't wait to hear from you! Apply for this job