Job Description
At arenaflex, we're revolutionizing the way we understand and engage with our customers across our vast portfolio of brands, including Hulu, Disney, and ESPN. As a key player in our Pack Trial and error and Examination group, you'll play a critical role in supporting the Disney Pack and driving business growth through data-driven insights.
- *About arenaflex's Direct-to-Consumer Business**
arenaflex's Direct-to-Consumer (DTC) business is a leading innovator in the streaming media industry, offering a wide range of entertainment, sports, and lifestyle content to millions of subscribers worldwide. Our DTC business is built on a foundation of data-driven decision-making, and we're looking for a talented Information Investigator to join our team and help us take our business to the next level.
- *Job Summary**
As an Information Investigator at arenaflex, you'll work closely with business leaders, marketing teams, and other stakeholders to identify key business challenges and develop data-driven solutions. You'll be responsible for analyzing large datasets, identifying patterns and trends, and providing actionable insights to inform business decisions. If you have a passion for working with data and a desire to make a real impact on our business, we want to hear from you!
- *Key Responsibilities**
- Collaborate with business leaders to identify key business challenges and develop data-driven solutions
- Develop and maintain a continuous experiences pipeline, ensuring that all stakeholders have access to timely and relevant Pack intel
- Perform in-depth pattern analyses, assessing the contributions of drivers from every conceivable perspective
- Define and investigate audience segments to drive Pack growth
- Work with other Examination groups to understand and integrate Pack data from various sources, weaving insights into a cohesive and compelling narrative
- Develop and maintain expertise in data visualization tools, including but not limited to Tableau, Looker, and Power BI
- Stay up-to-date with industry trends and emerging technologies, applying this knowledge to drive business growth and innovation
- *Essential Capabilities**
- Bachelor's degree in Information Examination, Arithmetic, Information Science, or a related field of study, and/or equivalent work experience
- At least 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 direct and indirect regression, significance testing, data preparation for modeling, and segmentation procedures
- Ability to manage and analyze large datasets, deciphering patterns and trends, and utilizing a wide range of data sources and tools
- Experience with data visualization tools, including but not limited to Tableau, Looker, and Power BI
- Proven 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
- Ability to think critically, breaking down and interpreting market and customer data
- Familiarity with A/B testing and MVT methodologies, including design, execution, and analysis
- *Preferred Capabilities**
- Experience in the streaming media industry or other membership-based services
- Experience working with Advertising teams or in the Marketing industry
- Familiarity with Disney's Direct-to-Consumer business and its various brands, including Hulu, Disney, and ESPN
- *What We Offer**
- Competitive salary and benefits package
- Opportunity to work with a leading innovator in the streaming media industry
- 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 working with data, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!
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