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. Apply To This Job Apply for this job