At arenaflex, we're on a mission to revolutionize the way we understand and engage with our customers. As a key member of our Consumer Insight, Measurement & Analytics (CIMA) team, you'll play a critical role in driving business growth and informing strategic decisions through data-driven insights. If you're passionate about analytics, eager to learn, and thrive in a dynamic environment, we invite you to join our team as an Advanced Analytics & Optimization Manager.
**About arenaflex**
arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our Consumer Insight, Measurement & Analytics (CIMA) team is a vital part of our Disney Parks, Experiences and Products (DPEP) segment, working tirelessly to provide actionable insights that inform business decisions and drive growth. As a member of our team, you'll have the opportunity to work with cutting-edge technologies, collaborate with talented professionals, and contribute to the development of world-class analytics solutions.
**Responsibilities**
As an Advanced Analytics & Optimization Manager, you'll be responsible for:
* Developing Marketing Mix Models for various business initiatives, leveraging advanced statistical methodologies to drive business growth and inform strategic decisions.
* Transforming version outcomes into actionable insights, helping our partners understand historical media effects and trends in media performance.
* Creating and delivering insightful analytic displays that provide consultative paths to key stakeholders, driving business outcomes and informing strategic decisions.
* Building and maintaining various statistical models for Disney Parks, Experiences, and Products business initiatives and business problems, ensuring data-driven decision-making.
* Performing exploratory data analysis to gain insights into business operations and validate data, driving business growth and informing strategic decisions.
**Essential Qualifications**
* Minimum 2 years of experience with diverse analytic, data mining, and machine learning methodologies, including multivariate regression, combined models, clustering, time series regression, and forecasting.
* Proficiency in R or Python for data mining and analytics.
* Excellent written and verbal communication skills, including the ability to summarize and present complex analytics to senior leadership.
**Preferred Qualifications**
* High scalability with the use of R or Python for data mining and analytics.
* Prior work experience within a media business or analytics consulting firm.
* Knowledge of marketing or media blend modeling.
* Expertise in advanced data mining and statistical methodologies.
* Experience with SQL and relational databases.
**Required Education**
* Master's degree or equivalent in statistics, mathematics, economics, data mining, computer science, engineering, or operations research.
**Preferred Education**
* Ph.D. or equivalent in statistics, mathematics, economics, data mining, computer science, engineering, or operations research.
**Compensation and Benefits**
The base pay provided will be commensurate with 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 plans may be provided as part of the compensation package, along with a comprehensive benefits package, including medical, financial, and other benefits, depending on the level and role provided.
**Work Environment and Company Culture**
As a member of our team, you'll enjoy a dynamic and collaborative work environment, with opportunities to learn from and contribute to the development of cutting-edge analytics solutions. Our company culture values diversity, inclusivity, and innovation, providing a supportive and stimulating environment for growth and development.
**How to Apply**
If you're passionate about analytics, eager to learn, and thrive in a dynamic environment, we invite you to apply for this exciting opportunity. Please submit your application through our website, including your resume, cover letter, and any relevant work samples or references.
**Equal Opportunity Employer**
arenaflex is an equal opportunity employer, committed to diversity and inclusion. We welcome applications from individuals from all backgrounds and encourage those who share our values to apply.
Apply Now!