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.