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 Data Analyst at Walt Disney

Data Analyst

@

Walt Disney

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Posted on: 
February 29, 2024
Status: 
Expired
Views:
2

Summary of the Data Analyst job at Walt Disney

Walt Disney is hiring a Data Analyst with 3 - 5 years of experience. Based in United States - Santa Monica, CA and with Hybrid ways of working. The expected salary range for this role is $93,400 - $125,200
About Walt Disney

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy.

Data Analyst job description

The Data Organization within The Walt Disney Company Direct to Consumer (DTC) business is seeking a Data Analyst to join our Bundle Experimentation & Analytics team. This team plays a crucial role in supporting the Disney Bundle, comprised of Hulu, Disney+, and ESPN+ in a single product. This initiative is key to the expansion of DTC's streaming services in the US.

Our team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our business clients make informed, data-driven decisions. We are trying to better understand Bundle trends, subscribers, and user behavior end-to-end by providing support across experimentation, analytics, and comprehensive reporting. In this role, the Data Analyst will collaborate with Marketing, Product, Data Science, Data Solutions, and other teams to not only provide high-visibility, in-depth insights on Bundle growth, but will become a true thought partner to our business partners, helping to craft strategy. We are looking for someone who has a passion for using large data sets to tackle sophisticated business problems!

Responsibilities

  • Partner closely with business leaders to define the most pressing business challenges on Bundle trends and drivers and build analytical frameworks to answer these questions
  • Help to craft an ongoing insights pipeline, ensuring that all business partners and have a continuous stream of Bundle intel
  • Perform comprehensive trend analyses, evaluating the contributions of drivers from all possible angles
  • Define and analyze audience segments to continue driving Bundle growth
  • Partner with other Analytics teams to understand and harness all available Bundle data from disparate sources, uniting insights into a cohesive, actionable story
Data Analyst job requirements

Basic Qualifications

  • Bachelor’s degree in Data Analytics, Mathematics, Data Science, or comparable field of study, and/or equivalent work experience
  • Minimum of 3 years of hands-on analytical work experience with R/Python/SAS (or another statistical analysis tool) and SQL
  • Knowledge of statistical modeling, machine learning, and other quantitative approaches, including but not limited to linear and logistic regression, significance testing, data preparation for modeling, and segmentation techniques
  • Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools
  • Experience with data visualization tools such as Tableau, Looker, etc.
  • Proven analytical skills with the ability to apply business strategy to data analysis and recommendations
  • Outstanding presentation skills, including the abilities to tell a story with data and to synthesize findings into actionable recommendations
  • Ability to think strategically, analyze and interpret market and consumer information
  • Knowledge of crafting, executing, and analyzing sophisticated AB/MVT test constructs

Preferred Qualifications

  • Experience in the streaming media industry or other subscription-based service
  • Experience working with Marketing teams or in the Marketing landscape
What we offer at Walt Disney

The hiring range for this position in Santa Monica, CA is $93,400 to $125,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.

Apply now

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What about the salary?

Average data analyst salary in the Entertainment industry is $109,218.
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Walt Disney

Walt Disney

is hiring

Data Analyst

Website:
Posted on: 
November 21, 2024

About Our Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy.

Job Description & Responsibilities

The Data Organization within The Walt Disney Company Direct to Consumer (DTC) business is seeking a Data Analyst to join our Bundle Experimentation & Analytics team. This team plays a crucial role in supporting the Disney Bundle, comprised of Hulu, Disney+, and ESPN+ in a single product. This initiative is key to the expansion of DTC's streaming services in the US.

Our team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our business clients make informed, data-driven decisions. We are trying to better understand Bundle trends, subscribers, and user behavior end-to-end by providing support across experimentation, analytics, and comprehensive reporting. In this role, the Data Analyst will collaborate with Marketing, Product, Data Science, Data Solutions, and other teams to not only provide high-visibility, in-depth insights on Bundle growth, but will become a true thought partner to our business partners, helping to craft strategy. We are looking for someone who has a passion for using large data sets to tackle sophisticated business problems!

Responsibilities

  • Partner closely with business leaders to define the most pressing business challenges on Bundle trends and drivers and build analytical frameworks to answer these questions
  • Help to craft an ongoing insights pipeline, ensuring that all business partners and have a continuous stream of Bundle intel
  • Perform comprehensive trend analyses, evaluating the contributions of drivers from all possible angles
  • Define and analyze audience segments to continue driving Bundle growth
  • Partner with other Analytics teams to understand and harness all available Bundle data from disparate sources, uniting insights into a cohesive, actionable story

Requirements

Basic Qualifications

  • Bachelor’s degree in Data Analytics, Mathematics, Data Science, or comparable field of study, and/or equivalent work experience
  • Minimum of 3 years of hands-on analytical work experience with R/Python/SAS (or another statistical analysis tool) and SQL
  • Knowledge of statistical modeling, machine learning, and other quantitative approaches, including but not limited to linear and logistic regression, significance testing, data preparation for modeling, and segmentation techniques
  • Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools
  • Experience with data visualization tools such as Tableau, Looker, etc.
  • Proven analytical skills with the ability to apply business strategy to data analysis and recommendations
  • Outstanding presentation skills, including the abilities to tell a story with data and to synthesize findings into actionable recommendations
  • Ability to think strategically, analyze and interpret market and consumer information
  • Knowledge of crafting, executing, and analyzing sophisticated AB/MVT test constructs

Preferred Qualifications

  • Experience in the streaming media industry or other subscription-based service
  • Experience working with Marketing teams or in the Marketing landscape

What we offer

The hiring range for this position in Santa Monica, CA is $93,400 to $125,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.

Apply now
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