Experienced Full Stack Data Analyst – Disney+ Product, Marketing & Content Curation

At arenaflex, we're on a mission to revolutionize the way we experience entertainment. As a key member of our Studio Research & Analytics team, you'll play a vital role in helping us achieve this goal. We're seeking a highly skilled and motivated Data Analyst to join our team, working on a part-time basis from home. If you're passionate about data analysis, have a keen eye for detail, and are excited about the opportunity to contribute to the success of arenaflex, we want to hear from you!

About arenaflex

arenaflex is a global leader in the entertainment industry, with a rich legacy of creating world-class stories and experiences for audiences around the world. Our company is built on a foundation of innovation, creativity, and a commitment to excellence. We're proud to be a part of the arenaflex family, and we're excited to have you join our team!

Job Summary

As a Data Analyst on our Studio Research & Analytics team, you'll work closely with our Disney+ Product, Marketing & Content Curation teams to analyze and interpret complex data sets, identify trends and insights, and develop actionable recommendations to inform business decisions. You'll be responsible for a wide range of tasks, including data analysis, data visualization, and reporting, as well as collaborating with cross-functional teams to drive business outcomes.

Responsibilities

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

• Combine disparate data sets using SQL to support the daily operations of our Disney+ consumer experience monitoring program
• Partner with other teams to conduct research at arenaflex, including communicating project goals, business needs, and timelines to ensure successful project execution
• Build and maintain relationships with research counterparts within the team and across other divisions of the company, as well as with external 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, ensuring timely completion and high-quality deliverables
• Collaborate with the Sr. Manager and team to ensure that all results are strategically actionable and drive key decision-making
• Work with the team and analytics agencies within Snowflake & Databricks
• Maintain up-to-date verbal and written understanding of data factors and requirements
• Respond to critical data requests from internal clients
• Support the presentation of findings based on research conducted and contribute to related 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 three years of relevant work experience, or

• Master's Degree in Business, Statistics, Economics, Psychology, Data Sciences, or related field, and one 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 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

Compensation and Benefits

* The hiring range for this position is $35 to $45 per hour

• The base pay provided will take into account internal fairness and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors
• A bonus and/or long-term performance incentive devices may be provided as part of the compensation package, in addition to the total range of medical, financial, and/or other benefits, depending on the level and function provided

Benefits

* Competitive general rewards package that includes pay, health and financial savings benefits, time-off programs, educational opportunities, and more

• Opportunities for growth and development through online learning tools and programs designed to foster inclusion
• Possibilities to volunteer through Disney VoluntEARS
• Commuter assistance program to help Disney personnel and cast members find 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 alternatives, including medical, dental, and vision coverage, available for full-time positions
• On-site online health instructions, including a variety of health and wellbeing programs and seminars
• 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
• Employees are paid weekly, with direct deposit available
• Opportunities for career growth and advancement within the company

How to Apply

If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Job! For more such jobs please click here! Apply for this job