Are you a data-driven professional with a passion for storytelling and a knack for analyzing complex data sets? Do you thrive in a fast-paced environment where no two days are ever the same? If so, we want to hear from you! careerzynith, a leading entertainment and media company, is seeking an experienced Full Stack Data Analyst to join our Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution teams.
**About careerzynith**
careerzynith is a global leader in the entertainment and media industry, with a rich history of creating world-class stories and experiences for audiences around the world. From humble beginnings as a cartoon studio in the 1920s to its current status as a preeminent entertainment company, careerzynith has consistently pushed the boundaries of innovation and creativity. With a diverse range of businesses, including Disney, Pixar, Marvel, Lucasfilm, and more, careerzynith is a place where talented individuals can come together to create something truly magical.
**Job Summary**
We are seeking a highly skilled and motivated Full Stack Data Analyst to join our team. As a key member of our Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution teams, you will be responsible for analyzing complex data sets, identifying trends and insights, and providing actionable recommendations to drive business growth and improvement. If you have a passion for data analysis, a strong understanding of data visualization tools, and excellent communication skills, we want to hear from you!
**Responsibilities**
* Assist with a wide range of qualitative and quantitative studies projects, including series and training of data, extraction and evaluation of data from multiple sources, and construction of summaries, tables, and record sections
* Combine disparate data units using SQL to support the daily operations of the Disney+ consumer experience monitoring program
* Partner with other teams to conduct studies at careerzynith, including discussing project goals, business needs, and timelines to ensure accurate prioritization, innovation, and optimization of 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 completion within the 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 & analytics agencies within Snowflake & Databricks
* Maintain up-to-date verbal & 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 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 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 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 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
**What We Offer**
* Competitive salary range of $35-$45 per hour
* Bonus and/or long-term performance incentive plans 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
* Comprehensive benefits package, including pay, health and savings benefits, time-off programs, educational opportunities, and more
* Opportunities for growth and development, including online learning tools and applications designed to foster inclusion
* Possibilities to volunteer through Disney VoluntEARS
* Discounts available at select hotels, dining, products, and project locations
* Flexibility @ Disney, designed to suit your professional and personal needs, offering a portfolio of options for a work arrangement that lets you thrive, both in your career and in your life
* Affordable medical insurance options, including medical, dental, and vision coverage, available for full-time positions
* On-site online health instructions, similar to a lot of fitness and wellbeing applications and seminars
* Complimentary theme park admission for full-time and part-time positions after 90 days of employment
* Includes Educational compensation and Disney Aspire, which will pay 100% tuition upfront at community colleges for full-time and part-time hourly employees
* Employees are paid weekly. Direct Deposit is a to-be-had option.
**How to Apply**
If you are a motivated and detail-oriented individual with a passion for data analysis and a knack for storytelling, we want to hear from you! Apply now and let's discuss how you can become a vital part of our success story.