Experienced Full Stack Data Analyst – Web & Cloud Application Development for Disney+
About The Walt Disney Studios
For over 95 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today, it brings high-quality films, immersive storytelling, music, and stage plays to audiences around the world. The Walt Disney Studios encompasses a range of renowned film studios, including Disney, Walt Disney Animation Studios, Pixar Animation Studios, Marvel Studios, Lucasfilm, 20th Century Studios, and Searchlight Pictures. It is also home to Disney Theatrical Productions, producer of elite stage shows.About The Walt Disney Company
The Walt Disney Company, along with its subsidiaries and affiliates, is a leading global family entertainment and media conglomerate with the following industry segments: Disney Media Networks, Parks and Resorts, Studio Entertainment, and Consumer Products. From humble beginnings as an animation studio in the 1920s to today's leading name in media, Disney proudly continues its tradition of creating elite stories and experiences for every member of the family. Disney's stories, characters, and experiences reach audiences and visitors from every corner of the globe. With operations in over 40 countries, our employees and cast members work together to create entertainment experiences that are both universally loved and locally relevant.Job Summary
We are seeking a highly motivated and detail-oriented Data Analyst to join our Studio Research and Analysis team. As a Data Analyst, you will play a critical role in supporting Disney+ Product, Marketing, and Content Curation teams by analyzing and interpreting complex data sets to inform business decisions. You will work closely with cross-functional teams to design and implement data-driven solutions, develop reports and visualizations, and communicate insights to stakeholders.Key Responsibilities
- Assist with a wide range of qualitative and quantitative analysis tasks, including data collection, cleaning, and analysis, as well as data visualization and reporting.
- Collaborate with various teams to design and implement data-driven solutions, develop reports and visualizations, and communicate insights to stakeholders.
- Work with SQL to join different data sources, extract insights, and build comprehensive data sets.
- Develop and maintain relationships with research partners within the team and across different divisions of the company, as well as external vendors.
- Design and deliver reports, dashboards, and other visualizations to communicate insights and trends to stakeholders.
- Manage assigned projects, conduct quality control checks, and report progress to supervisors to ensure timely completion.
- Work closely with the Sr. Administrator and team to ensure that all results are actionable and drive key business decisions.
- Stay up-to-date with the latest trends and developments in the SVOD and In-Home industries.
Essential Qualifications
- Bachelor's degree in Business, Statistics, Economics, Mathematics, Computer Science, or related field, and 3 years of relevant work experience, or
- Graduate degree in Business, Statistics, Economics, Mathematics, Computer Science, or related field, and 1 year of relevant work experience.
Technical Skills
- Proficiency in SQL, with the ability to extract and combine data from various sources.
- Ability to work with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar.
- Strong quantitative thinking and analytical skills.
- Excellent communication and presentation skills, with the ability to create clear and concise visualizations.
- Ability to work effectively in a fast-paced environment with tight deadlines and changing priorities.
Preferred Qualifications
- Experience with data analysis tools, such as SPSS, Q, MarketSight.
- Experience working with survey tools, such as Interpret, Qualtrics, SurveyMonkey.
- Experience with programming languages, such as R, Python, SAS, STATA, or similar.
- Postgraduate education in Statistics or Mathematics.
- Quantitative analysis background, either client-side or provider-side.
- Experience with analyzing survey data to extract meaningful insights.
- Experience with membership-based business models and strategies.