Experienced Full Stack Data Analyst - Disney+ Product, Marketing, and Content Curation (Remote, Part Time, $23/Hour)

Remote, USA Full-time
Join the Magic of Disney as a Data Analyst and Be at the Forefront of SVOD and In-Home Industry Trends Are you a detail-oriented and analytical individual with a passion for data analysis and a love for Disney? Do you have a knack for extracting insights from complex data sets and presenting them in a clear and concise manner? If so, we want to hear from you! The Walt Disney Organization is seeking a highly skilled and motivated Data Analyst to join our Studio Exploration and Examination team, supporting Disney+ Product, Marketing, and Content Curation and In-Home Promoting and Circulation teams. About Disney and Our Culture The Walt Disney Organization is a world-renowned entertainment company that has been a leader in innovation and creativity for nearly a century. Our company culture is built on a foundation of collaboration, innovation, and a passion for storytelling. We believe in fostering a diverse and inclusive work environment that encourages creativity, risk-taking, and growth. As a Disney employee, you will have the opportunity to work with talented professionals from around the world, be part of a dynamic and fast-paced work environment, and contribute to the creation of magical experiences for our audiences. Job Summary As a Data Analyst at Disney, you will play a critical role in supporting the Disney+ Product, Marketing, and Content Curation teams by analyzing and interpreting complex data sets to inform business decisions. You will work closely with senior leaders and cross-functional teams to design and implement data-driven solutions that drive business outcomes. Your primary responsibilities will focus on Disney+ Product and Customer Experience tracking projects, including collecting and analyzing data, developing reports, and providing insights to stakeholders. Key Responsibilities: Assist with a wide range of qualitative and quantitative research activities, including data collection, preparation, and analysis to build summaries, tables, and report segments. Integrate disparate data sets using SQL to aid in the daily operations of the Disney+ customer experience tracking project. Collaborate with various teams to conduct research at Disney, including communicating project objectives, business requirements, and timelines to efficiently prioritize, advance, and enhance our datasets. Develop and maintain relationships with research partners within the team and from other departments of the organization, as well as external vendors. Analyze and prepare ad-hoc and recurring reports using quantitative and qualitative data for various groups within the product marketing, engagement, and product strategy of Disney+ and the Disney Streaming Pack. Manage assigned projects, execute quality assurance cycles, and report tasks and status to manager(s) to ensure completion within established timeframes. Work with the Sr. Manager and team to ensure that each outcome is decisively significant and drives key decision-making. Collaborate with the team and analytics groups within Snowflake and Databricks. Maintain both exceptional verbal and written knowledge of data elements and requirements. Respond to critical data requests from internal clients. Support the display of findings based on research conducted and contribute to related business discussions. Requirements and Qualifications Essential Capabilities: Proficiency with SQL, with the ability to extract and join disparate data sources. Ability to extract data and join with various data sources to develop a rich, complete picture for the business. Strong quantitative reasoning and analytical skills. Ability to work quickly and efficiently in a fast-paced environment. Excellent communication and critical thinking skills, as well as the ability to create clear and concise visual presentations. Strong multitasking capabilities and the ability to work effectively in an environment of tight deadlines and constant change. Preferred Capabilities: Proficiency in data processing tools (e.g., SPSS, Q, MarketSight). Experience with survey tools (e.g., Translate, Qualtrics, SurveyMonkey). Experience working with large datasets and big data technologies, ideally cloud-based, like Snowflake, Databricks, or similar. Knowledge of R, Python, SAS, STATA, or similar programming languages. Postgraduate education in Marketing Research or Statistics. Quantitative analysis background, either provider-side or client-side. Experience with analyzing survey data to extract meaningful insights. Experience with subscription-based business models and strategy. What We Offer As a Disney employee, you will have access to a range of benefits and perks, including: Competitive hourly rate of $23/hour. Part-time remote work arrangement with flexible scheduling. Opportunities for career growth and professional development. Collaborative and dynamic work environment. Access to cutting-edge technologies and tools. Recognition and rewards for outstanding performance. Comprehensive benefits package, including medical, dental, and vision coverage. Why Join Disney? At Disney, we believe in inspiring creativity, fostering innovation, and making a positive impact on the world. As a Data Analyst at Disney, you will have the opportunity to: Work with a talented team of professionals who share your passion for data analysis and storytelling. Contribute to the creation of magical experiences for our audiences. Develop your skills and expertise in a fast-paced and dynamic environment. Be part of a company that values diversity, inclusion, and community engagement. How to Apply If you are a motivated and detail-oriented individual with a passion for data analysis and a love for Disney, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. Don't miss this chance to join the Disney team and be part of a company that brings joy and magic to people's lives around the world! Apply for this job
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