Experienced Data Analyst and Insights Professional for Disney Entertainment - Driving Business Growth through Data-Driven Decision Making

Remote Full-time
Introduction to The Walt Disney Company
The Walt Disney Company, a global leader in family entertainment and media, is seeking a highly skilled and motivated Data Analyst to join its esteemed team. As a Data Analyst, you will play a pivotal role in driving business growth and informing strategic decisions through data-driven insights. With a rich legacy of creating world-class stories and experiences, Disney proudly maintains its position as a pioneer in the entertainment industry. Our stories, characters, and experiences reach consumers and guests from every corner of the globe, and we are committed to continuing this legacy of excellence.

Job Overview
We are looking for a dedicated and entrepreneurial spirit to join our Studio Research & Analytics team, supporting Disney+ Product, Marketing & Content Curation, and In-Home Marketing & Distribution organizations. As a Data Analyst, you will work closely with the Disney+ Product teams, analyzing and synthesizing data to provide actionable insights and support quantitative and qualitative research projects for key partners. Your primary areas of responsibility will focus on Disney+ Product and Consumer Experience monitoring programs, combining disparate data sets using SQL, and partnering with other teams to conduct research and drive business growth.

Key Responsibilities

Assist with a wide range of qualitative and quantitative research activities, including collection and training of data, extraction, and analysis of data from multiple sources to build summaries, tables, and report sections
Combine disparate data sets using SQL to support the daily operations of the Disney+ customer experience monitoring program
Partner with other teams to conduct research at Disney, communicating project goals, business needs, and timelines to effectively prioritize, innovate, and optimize our datasets
Build and maintain relationships with research counterparts in the team and from other divisions of the company, as well as external vendors
Analyze and prepare ongoing and ad-hoc reports using quantitative and qualitative data for various organizations in the product marketing, engagement, and product strategy of Disney+ and the Disney Streaming Bundle
Manage assigned projects, implement best guarantee processes, and report duties and status to supervisor(s) to ensure completion within established timeframe
Work with the Sr. Manager and team to ensure that each outcome is strategically actionable and drives key decision-making
Collaborate with the team and analytics organizations within Snowflake & Databricks
Maintain up-to-date verbal and written knowledge of data points and requirements
Respond to critical data requests from internal clients
Support presentation of findings based on research performed and contribute to related business discussions
Stay at the forefront of SVOD & In-Home business trends amidst a continuously evolving landscape


Essential Qualifications
To be successful in this role, you will need to possess a Bachelor's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or a related field, and at least 3 years of applicable work experience. Alternatively, a Master's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or a related field, and 1 year of applicable work experience will also be considered. You will need to demonstrate proficiency with SQL, with the ability to extract and integrate disparate data sources, as well as strong quantitative reasoning and analytical skills.

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 strategy


Career Growth Opportunities and Learning Benefits
At Disney, we are committed to supporting the growth and development of our employees. We offer a range of online learning tools and programs designed to foster inclusion and help you develop new skills and expertise. You will have the opportunity to work with a talented and dedicated team, and contribute to the development of innovative solutions that drive business growth and inform strategic decisions.

Work Environment and Company Culture
Our work environment is dynamic and fast-paced, with a focus on collaboration, innovation, and creativity. We value diversity and inclusion, and are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute. We offer a range of benefits and perks, including flexible working arrangements, commuter assistance, and discounts on Disney products and experiences.

Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including health insurance, retirement plans, and paid time off. You will also have access to a range of perks and discounts, including complimentary theme park admission, educational assistance, and on-site fitness classes. We are committed to supporting the well-being and happiness of our employees, and offer a range of programs and initiatives designed to promote work-life balance and overall wellness.

Conclusion
If you are a motivated and entrepreneurial spirit with a passion for data analysis and insights, we encourage you to apply for this exciting opportunity. As a Data Analyst at Disney, you will have the chance to work with a talented and dedicated team, contribute to the development of innovative solutions, and drive business growth through data-driven decision making. Don't hesitate to apply – we can't wait to hear from you!

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