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