Sr Analytics Engineer

Job ID 10105345 Location Burbank, California, United States Business The Walt Disney Studios Date posted Nov. 22, 2024

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Job Summary:

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness.

Job Responsibilities:

Members of the Marketing Science team generally fall within one or more functional areas as described in the Analytics Specializations section below. A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision. A person in this role is expected to be developing knowledge in media, marketing, and entertainment.

Analytics Specializations:

Analytics Engineering and Technology Specialization:

Architecting, designing, and building data products using foundational data sets that are regularly refreshed by data engineering teams
Developing and maintaining code for data products
Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries
Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data products
Providing documentation and instruction to other scientists, engineers, or analysts about how to use data products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making
Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data products
Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence
Monitoring and overseeing the deployment, maintenance, and improvement of the statistical and machine learning models and optimization routines embedded in data products
Building machine learning models, statistical models, or optimization routines—especially for the purposes of automating and scaling tasks—while leveraging the expertise of data or decision scientists as appropriate and necessary to ensure that best data and decision science practices are followed
Working directly with data scientists and decision scientists to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways
Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways
Coordinating work with other science and technology teams at The Walt Disney Company

Basic Education

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Demonstrated academic achievement in statistics and probability—typically involving graduate-level coursework
Analytics Engineering and Technology: relevant areas include (but are not limited to) computer science and applied mathematics

Basic Qualifications

5+ years of experience
Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision
People working in Analytics Engineering and Technology need to be able to work across technical functions and understand how complicated systems work
Some demonstrated knowledge of media and marketing as well as a desire to learn more
Desire to learn about the entertainment / media industries
Reasonable level of business acumen in addition to very strong technical skills
Proven creative problem-solving, decision-making and critical thinking skills
Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment
Demonstrated strong written and verbal communication skills
Strong leadership skills for a technical position
Ability to work independently as well as across teams in a diverse, international, collaborative environment
Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities
Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
Proficiency in performing exploratory quantitative analysis
Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models
Proficiency with Python
Demonstrated experience with SQL
Familiarity with Tableau or other data visualization tool
Familiarity with cloud computing services
Familiarity with CI/CD and GitLab or GitHub

Preferred Education

Graduate degree (Master’s or Doctorate)—with significant graduate-level academic exposure to formal or quantitative methods

Preferred Qualifications

Advanced proficiency with SQL
Advanced proficiency with R or Python
Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models
Proficiency with Tableau or other data visualization tool
Demonstrated experience using big data technologies for data science—particularly Spark
Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
Familiarity with the martech and adtech ecosystem

The hiring range for this position in Burbank, CA is $104,600.00 to $140,200.00 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.

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About The Walt Disney Studios:

For over 95 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today it brings quality movies, episodic storytelling, music, and stage plays to consumers throughout the world. The Walt Disney Studios encompasses a collection of respected film studios, including Disney, Walt Disney Animation Studios, Pixar Animation Studios, Marvel Studios, Lucasfilm, 20th Century Studios, and Searchlight Pictures. It is also home to Disney Theatrical Productions, producer of world-class stage shows.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Entertainment Operations LLC, which is part of a business we call The Walt Disney Studios.

Disney Entertainment Operations LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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