Experienced Full Stack Data Analyst – Disney+ Product, Marketing & Content Curation and In-Home Marketing & Distribution Agencies

Are you a detail-oriented and analytical individual with a passion for data-driven insights? Do you thrive in a fast-paced environment where no two days are the same? Look no further! arenaflex, a leading entertainment and media company, is seeking an experienced Full Stack Data Analyst to join our Studio Research & Analytics team.

About arenaflex

arenaflex is a global leader in the entertainment and media industry, with a rich legacy of creating world-class stories and experiences for audiences around the world. Our company is home to some of the most iconic and beloved brands, including Disney, Pixar, Marvel, Lucasfilm, and more. We are committed to innovation, creativity, and excellence in everything we do.

Job Summary

We are seeking a highly skilled and motivated Data Analyst to join our team, working closely with the Disney+ Product groups to analyze and synthesize data, provide insights, and drive business decisions. As a Full Stack Data Analyst, you will be responsible for a wide range of tasks, including data extraction, analysis, and visualization, as well as collaborating with cross-functional teams to develop and implement data-driven solutions.

Responsibilities

* Assist with a variety of qualitative and quantitative research projects, including data collection, analysis, and visualization

• Combine disparate data sources using SQL to support the daily operations of the Disney+ consumer experience monitoring program
• Partner with other teams to conduct research at Disney, including communicating project goals, business needs, and timelines to prioritize, innovate, and optimize our datasets
• Build and maintain relationships with research 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, implement quality assurance processes, and report progress to supervisor(s) to ensure timely completion
• Work with the Sr. Manager and team to ensure that all results are strategically actionable and drive key decision-making
• Collaborate with the team and analytics agencies within Snowflake & Databricks
• Maintain up-to-date verbal and written understanding of data sources and requirements
• Respond to critical data requests from internal clients
• Support the presentation of findings based on research 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 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 approach

What We Offer

* Competitive hourly rate 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 financial savings benefits, time-off programs, educational opportunities, and more
• Opportunities for growth and development, including online learning tools and applications designed to foster inclusion
• Possibility to volunteer through Disney VoluntEARS
• Commuter assistance program to help Disney personnel and cast members discover commuter resources, alternatives, and incentives
• 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 programs and seminars
• Paid weekly, with direct deposit available
• Complimentary theme park admission for full-time and part-time positions after weeks of employment
• Educational compensation and Disney Aspire, which will pay 100% tuition upfront at community colleges for full-time and part-time hourly personnel

How to Apply

If you are a motivated and detail-oriented individual with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply Job! For more such jobs please click here! Apply for this job