Senior Omni-Channel Analyst (Data Science)

Key Skills

Aartificial intelligence, Big Data Technology, Business Intelligence, Data science techniques, Machine learning techniques, MySQL, Natural Language Processing (NLP), Python Programming, R Programming, Snowflake, SQL, SQL Server, Teradata

Job Description

The Disney Consumer Insight, Measurement & Analytics (CIMA) team is part of the Global Marketing & Sales organization within Disney Parks Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization.

Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization.

The Senior Omni-Channel Analyst is a key data storyteller on the DTOA Analytics team. They will independently execute analytical projects from ideation to completion, to address complex business questions that span the digital and contact center ecosystems, developing insights and driving business impact.

To succeed in the role, you must possess a passion for creative problem solving and analytical delivery. You will have the opportunity to work with large data sets, cloud data environments, data science tools, and become a subject matter expert with data and source systems used to support the Walt Disney World business. In addition, you must possess the ability to interpret and understand the objectives of complex business questions, and the necessary skills to use large, disparate data sources to produce meaningful and actionable analysis that answers those questions. As a Senior Omni-Channel Analyst, you will support partners and clients with data architecture, queries, and processes to enable more efficient and consistent reporting and analysis in the organization. 

The position reports to the Director, Digital & Travel Operations Analytics, and does not have direct reports.

What you will do:

Data Analysis and Insights

• Analyze and mine data to find opportunities within the time allotted.
• QA data and processes to ensure accuracy.
• Undertake proactive and reactive ad-hoc requests as needed.
• Drive more efficient and sophisticated analytical insights.
• Convey and highlight recommendations to ‘tell the story with data.
• Make business recommendations based on the data findings.

Data Strategy

• Work with business partners to determine needs and requirements.
• Develop efficient and value-added queries / analyst tables for ongoing and ad hoc analysis.
• Identify and document data requirements to support both ongoing and ad hoc analysis.
• Learn new data sets from various lines of business, to develop an expertise in those data sets.

What you will need:

• 5+ years of relational database experience
• 5+ years of analytical experience
• Ability to present and explain complex topics and subject matter to a wide range of audiences including executives.
• Proficiency in SQL, R, and/or Python programming languages
• Proficiency with business intelligence tools such as Tableau
• Ability to excel in a fast-paced, complex, and changing business environment.
• Ability to deliver work on-time ensuring attention to detail.
• Team player mentality
• Desire to learn and grow with an organization.

What will set you apart:

• Experience with data warehouse platforms such as My SQL, SQL Server, Snowflake, Teradata
• Ability to apply statistical rigor to analyses.
• Knowledge of “big data” environments and tools
• Experience with digital and contact center data and analytics
• Advanced SQL skills
• Experience with hospitality data and analytics
• Experience with text mining and natural language processing
• Interest in machine learning and artificial intelligence

Required Education:

Bachelor’s degree in analytical/quantitative field – e.g. statistics, mathematics, accounting, engineering, etc.

Preferred Education:

Master’s degree in an analytical/quantitative field or equivalent work experience

About Disney Parks, Experiences and Products:

The Disney Parks, Experiences and Products segment includes Disney’s iconic travel and leisure businesses, which include six resort destinations in the United States, Europe and Asia, a top-rated cruise line, a popular vacation ownership program, and an award-winning guided family adventure business. Disney’s global consumer products operations include the world’s leading licensing business across toys, apparel, home goods, digital games and apps; the world’s largest children’s publisher; Disney store locations around the world; and the shopDisney e-commerce platform.

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 with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. 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 Destinations, LLC, which is part of a business we call Disney Parks, Experiences and Products.

Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.