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

Join arenaflex, a global leader in entertainment and media, as a Full Stack Data Analyst for our Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution agencies. This is a unique opportunity to contribute to the growth and success of our streaming services, working closely with cross-functional teams to drive business decisions and optimize consumer experiences.

• *About arenaflex**

arenaflex is a global leader in entertainment and media, with a rich legacy of creating world-class stories and experiences for audiences around the world. Our company has a long history of innovation and creativity, from the early days of animation to the present day. We are committed to delivering exceptional entertainment experiences that inspire and delight our audiences.

• *Job Summary**

We are seeking a highly skilled and motivated Full Stack Data Analyst to join our Studio Research & Analytics team. As a key member of this team, you will work closely with our Disney+ Product groups, analyzing and synthesizing data to inform business decisions and drive growth. Your primary responsibilities will include:

• Assisting with a wide range of qualitative and quantitative studies projects, including data extraction and analysis, and the creation of summaries, tables, and record sections
• Combining disparate data units using SQL to support the daily operations of our Disney+ consumer experience monitoring program
• Partnering with cross-functional teams to conduct studies at arenaflex, including discussing project goals, business needs, and timelines to ensure effective prioritization, innovation, and optimization of our datasets
• Building and maintaining relationships with study counterparts within the team and from other divisions of the company, as well as outside vendors
• Analyzing and preparing 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
• Managing assigned projects, enforcing quality assurance processes, and record obligations and standing to supervisor(s) to ensure timely completion

• *Responsibilities**

• Assist with a wide range of qualitative and quantitative studies projects, including data extraction and analysis, and the creation of summaries, tables, and record sections
• Combine disparate data units using SQL to support the daily operations of our Disney+ consumer experience monitoring program
• Partner with cross-functional teams to conduct studies at arenaflex, including discussing project goals, business needs, and timelines to ensure effective prioritization, innovation, and optimization of our datasets
• Build and maintain relationships with study counterparts within the team and from other divisions of the company, as well as outside 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, enforcing quality assurance processes, and record obligations and standing to supervisor(s) to ensure timely completion
• Work with the Sr. Manager and team to ensure that all results are strategically actionable and drive key decision-making
• Collaborate with the team & analytics agencies within Snowflake & Databricks
• Maintain up-to-date verbal and written understanding of data factors and requirements
• Respond to critical data requests from internal clients
• Support presentation of findings based on studies conducted and contribute to associated business discussions
• Stay at the forefront of SVOD & In-Home business developments amidst a continuously evolving landscape

• *Basic Qualifications**

• Bachelor's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or related discipline and 3 years of relevant work experience OR Master's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or related discipline and 1 year of relevant work experience
• Proficiency with SQL, with the ability to extract and integrate disparate data assets
• Ability to extract data and integrate with other data assets 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 consistent 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 studies background, either supplier-side or client-side
• Experience with reading survey data to extract actionable insights
• Experience with subscription-based business models and approach

• *Work Environment and Company Culture**

This role is hybrid, with in-person collaboration from Monday to Thursday and remote work on Friday. Our company culture values innovation, creativity, and collaboration, and we are committed to providing a supportive and inclusive work environment for all employees.

• *Compensation and Benefits**

We offer a competitive salary range of $35-45 per hour, as well as a comprehensive benefits package that includes:

• Medical, dental, and vision coverage
• Retirement plans
• Complimentary theme park admission
• Educational compensation and Disney Aspire, which will pay 100% tuition upfront at community colleges for full-time and part-time hourly employees
• Paid time off and holidays
• Flexible work arrangements, including remote work options
• Access to on-site online health instructions and wellness programs

• *How to Apply**

If you are a motivated and experienced data analyst looking for a new challenge, please submit your application today. We are excited to hear from talented candidates like you.