**Experienced Full Stack Data Analyst – Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution**

At arenaflex, we're on a mission to revolutionize the entertainment industry with innovative and engaging experiences. As a key member of our Studio Research & Analytics team, you'll play a vital role in helping us achieve this goal by providing strategic insights and data-driven solutions to our Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution teams. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich legacy of creating world-class stories and experiences for audiences around the world. Our company is built on a foundation of innovation, creativity, and a passion for storytelling. We're committed to fostering a culture of inclusion, diversity, and growth, and we're excited to welcome talented individuals like you to our team. **Job Summary** We're seeking an experienced Full Stack Data Analyst to join our Studio Research & Analytics team. As a key member of this team, you'll work closely with our Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution teams to provide strategic insights and data-driven solutions to drive business growth and innovation. You'll be responsible for analyzing and interpreting complex data sets, identifying trends and patterns, and developing actionable recommendations to inform business decisions. **Responsibilities** * Assist with a wide range of qualitative and quantitative research projects, including data collection, analysis, and interpretation * Combine disparate data sources using SQL to support the daily operations of the Disney+ consumer experience monitoring program * Partner with cross-functional teams to conduct research at Disney, including communicating project goals, business needs, and timelines to ensure successful project execution * Build and maintain relationships with research counterparts within the team and across other divisions of the company, as well as with external vendors * Analyze and prepare ongoing and ad-hoc reports using quantitative and qualitative data for various agencies within the product marketing, engagement, and product approach of Disney+ and the Disney Streaming Bundle * Manage assigned projects, ensuring timely completion and high-quality deliverables * Collaborate with the Sr. Manager and team to ensure that all results are strategically actionable and drive key decision-making * Work with the team and analytics agencies within Snowflake and Databricks * Maintain up-to-date verbal and written understanding of data sources and requirements * Respond to critical data requests from internal clients * Support presentation of findings based on research conducted and contribute to associated business discussions * Stay at the forefront of SVOD and In-Home business developments amidst a constantly evolving landscape **Basic Qualifications** * Bachelor's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or related field and 3 years of relevant work experience OR Master's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or related field and 1 year of relevant work experience * Proficiency with SQL, with the ability to extract and integrate disparate data sources * Ability to extract data and integrate with other data sources to provide a rich, comprehensive picture for the business * Strong quantitative reasoning and analytical skills * Ability to work quickly and accurately in a fast-paced environment * Outstanding communication and critical thinking skills, as well as the ability to create clear and concise visual presentations * Strong multitasking skills and the ability to work effectively in an environment of tight timeframes and constant change **Preferred Qualifications** * Proficiency in data processing tools (e.g. SPSS, Q, MarketSight) * Experience with survey tools (e.g. Decipher, Qualtrics, SurveyMonkey) * Experience working with large datasets and big data technologies, ideally cloud-based, including Snowflake, Databricks, or similar * Familiarity with R, Python, SAS, STATA, or similar programming languages * Advanced degree in Market Research or Statistics * Quantitative research background, either supplier-side or client-side * Experience with reading survey data to extract actionable insights * Experience with subscription-based business models and approaches **Compensation and Benefits** * The hiring range for this position is $35 to $45 per hour. The base pay actually provided will take into account internal equity and may also vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. * A bonus and/or long-term performance incentive devices may be provided as part of the compensation package, in addition to the entire range of medical, financial, and/or other benefits, depending on the level and function provided. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich legacy of creating world-class stories and experiences for audiences around the world. Our company is built on a foundation of innovation, creativity, and a passion for storytelling. We're committed to fostering a culture of inclusion, diversity, and growth, and we're excited to welcome talented individuals like you to our team. **Why Join arenaflex?** * Competitive compensation and benefits package * Opportunities for career growth and development * Collaborative and inclusive work environment * Access to cutting-edge technology and tools * Flexible work arrangements, including remote work options * Comprehensive benefits package, including medical, dental, and vision coverage * Paid time off and holidays * Retirement plans and educational assistance programs * Complimentary theme park admission and other perks **How to Apply** If you're a motivated and detail-oriented individual with a passion for data analysis and storytelling, 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! Apply for this job