Experienced Information Investigator – Advanced Data Analysis and Insights for arenaflex's Direct-to-Consumer Business

At arenaflex, we're revolutionizing the way we understand and interact with our customers through innovative data-driven solutions. As a key player in our Pack Trial and error and Examination group, you'll have the opportunity to make a significant impact on the growth and success of our Direct-to-Consumer (DTC) business, which encompasses Hulu, Disney+, and ESPN+ in a single, unified platform. Our team utilizes a combination of data, analytics, and experimentation to empower our business stakeholders with informed, data-driven decisions. We're committed to gaining a deeper understanding of Pack patterns, supporters, and customer behavior through comprehensive analysis and insights. In this role, the Information Investigator will collaborate closely with Marketing, Product, Data Science, Data Operations, and other teams to not only provide high-visibility insights on Pack development but also become a trusted thought partner, helping to drive process improvements.

About arenaflex

arenaflex is a world-renowned leader in the entertainment and media industry, with a rich history of innovation and creativity. Our Direct-to-Consumer business is at the forefront of the streaming revolution, offering a vast array of content to millions of subscribers worldwide. As a member of our team, you'll be part of a dynamic and collaborative environment that values creativity, diversity, and inclusion.

Key Responsibilities

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

• Help create a continuous experiences pipeline, ensuring that all stakeholders have access to a steady stream of Pack intel and insights
• Perform comprehensive pattern analyses, assessing the contributions of drivers from various perspectives
• Define and investigate target audience segments to drive Pack growth and development
• Work with other Examination teams to gather and integrate relevant Pack data from multiple sources, weaving insights into a cohesive and compelling narrative
• Develop and maintain a deep understanding of Pack patterns, drivers, and customer behavior, using this knowledge to inform business decisions and drive growth

Essential Capabilities

* Bachelor's degree in Data Analysis, Mathematics, 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
• Strong understanding of statistical modeling, AI, and other quantitative methodologies, including but not limited to linear and logistic regression, hypothesis testing, data preparation for modeling, and segmentation techniques
• Ability to manage and analyze large datasets, interpret data patterns, and utilize a variety of 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
• Excellent communication skills, including the ability to tell a story with data and organize findings into actionable recommendations
• Capacity to think critically, analyze and interpret market and customer data
• Familiarity with designing, executing, and analyzing 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
• Strong understanding of data-driven marketing and customer acquisition strategies

What We Offer

* Competitive salary and benefits package

• Opportunity to work with a world-renowned entertainment and media company
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

How to Apply

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