Firm Name: Disney

Numbers of Jobs: Analytics & Optimization Manager

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: Celebration 

Job Details:

• Do you enjoy creating state-of-the-art statistical models and scenario planning applications to provide insight into the impact of marketing, sales, and other commercial investments?
•  Consumer Insight, Measurement and Analytics (CIMA) is a division of Disney Parks, Experiences and Products (DPEP) of The Walt Disney Company. CIMA influences data-driven and consumer-centric decision making with integrated, objective, and useful insights.
•  Utilizing a range of statistical methods, the Advanced Analytics and Optimization Manager will compile data on our clients and other consumers before incorporating that data into marketing and sales initiatives. This position will also plan and carry out data mining initiatives for the larger Consumer Insight, Measurement & Analytics organization, under the supervision of senior leadership. This is a contributing position, and the Manager of Advanced Sales Analytics is the direct supervisor.

 Responsibilities.

•  For various business divisions within Disney Parks, Experiences, and Products (DPEP), develop customer and consumer models.
•  Transform model results into insights to help stakeholders understand opportunities to drive business value.
•  Create and deliver insightful analytic presentations that are actionable and provide key stakeholders with consultative guidance.
•  Create additional statistical models for various DPEP business areas and organizational problems.
•  To validate data and gain understanding of business operations, use exploratory data analysis.

 Minimal demands.

•  A minimum of two years of professional experience.
•  Proven ability to communicate clearly both in writing and orally, including the capacity to summarize and present complex analytics to senior leadership.
•  Understanding of various analytical, data mining, and machine learning techniques, including forecasting, mixed models, clustering, time series regression, and multivariate regression.
•  experience with programming in Python or R.

 Preferred Requirements.

•  5 years of professional employment.
•  proficiency with R or Python for data mining.
•  Previous employment with a media agency or a consulting business for analytics.
•  Proficient in cutting-edge statistical and data mining techniques.
•  working knowledge of SQL and relational databases.

 It is essential to have education.

•  A master's degree or its equivalent in statistics, mathematics, economics, data mining, computer science, engineering, or operations research.

 Education is preferred.

 A PhD or equivalent in operations research, computer science, engineering, economics, mathematics, or another related field.

 Additional Details - Internal Postings Only.

 Do you enjoy collaborating with partners to determine client engagement and assess performance measurement? Do you enjoy providing insight into the impact of marketing, sales, and other commercial investments? Are you naturally curious and driven to comprehend the business behind the magic? .

 The Disney Parks, Experiences and Products (DPEP) division of The Walt Disney Company includes Consumer Insight, Measurement & Analytics (CIMA). CIMA uses comprehensive, objective, and useful insights to influence data-driven and consumer-centric decision making.

 The Advanced Analytics & Optimization Manager will use a variety of statistical techniques to gather information about our customers and other consumers and then incorporate that information into marketing and sales initiatives. Along with developing and implementing data mining projects for the larger Consumer Insight, Measurement & Analytics organization, this role will also work under the direction of senior leadership. This is a contributory position that answers to the Manager of Advanced Sales Analytics.

 Responsibilities.

•  Create guest and consumer models for various business units within Disney Parks, Experiences, and Products (DPEP).
•  Convert model findings into insights to aid stakeholders in understanding chances to increase business value.
•  Create and deliver presentations that are insightful, action-oriented, and give key stakeholders consultative direction.
•  Develop additional statistical models for different DPEP business areas and enterprise issues.
•  Use exploratory data analysis to verify data and gain insights into business operations.

 Basic requirements.

•  A minimum of two years of professional experience.
•  Proven ability to effectively communicate verbally and in writing, including the capacity to summarize and present complex analytics to senior leadership.
•  Knowledge of a variety of analytical, data mining, and machine learning methodologies, such as multivariate regression, mixed models, clustering, time series regression, and forecasting.
•  Python or R programming experience.

 Recommended Qualifications.

•  5 years of professional employment.
•  High level of expertise with R or Python for data mining.
•  Prior employment with a media agency or analytics consulting business.
•  Highly knowledgeable in statistical and advanced data mining techniques.
•  SQL and relational database expertise.

 Education is necessary.

•  A master's degree or its equivalent in operations research, computer science, engineering, mathematics, statistics, economics, or data mining.

 Preferable Education.

•  A PhD or an equivalent degree in operations research, computer science, engineering, economics, mathematics, or any of the aforementioned subjects.

 Further Information - Internal Postings Only.