Experienced Advanced Analytics & Optimization Manager – Data Insights & Business Growth
At arenaflex, we're on a mission to revolutionize the way we understand and interact with our customers. As a key member of our Consumer Insight, Measurement & Analytics (CIMA) team, you'll have the opportunity to work with cutting-edge statistical methodologies and cutting-edge technologies to drive business growth and inform strategic decision-making. If you're passionate about data-driven insights, have a knack for storytelling, and are driven to make a meaningful impact, we want to hear from you.
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 critical component of our Disney Parks, Experiences and Products (DPEP) segment, working closely with senior leadership to develop and implement data-driven strategies that drive business growth and customer engagement. As an Advanced Analytics & Optimization Manager, you'll be part of a dynamic team that's passionate about using data to tell stories and drive business outcomes.
Responsibilities
As an Advanced Analytics & Optimization Manager, you'll be responsible for developing and implementing advanced statistical models and data mining techniques to drive business growth and inform strategic decision-making. Your key responsibilities will include:
- Developing Marketing Mix Models for various business initiatives
- Transforming version outcomes into insights to help stakeholders understand historical media effects and trends in media performance
- Developing and delivering productive, insightful analytic displays that provide consultative paths to key stakeholders
- Building diverse statistical models for arenaflex business initiatives and business problems
- Performing exploratory data analysis to gain insights into business operations and validate data
Basic Qualifications
To be successful in this role, you'll need to have:
- Minimum 2 years of experience with diverse analytic, data mining, and machine learning methodologies, including multivariate regression, mixed models, clustering, time series regression, and forecasting
- Proficiency in R or Python for data mining
- Excellent written and verbal skills, including the ability to summarize and present advanced analytics to senior leadership
Preferred Qualifications
While not required, we're looking for candidates with:
- High scalability with the use of R or Python for data mining
- Prior work experience within a media business or analytics consulting firm
- Knowledgeable in marketing or media blend modeling
- Expertise in advanced data mining and statistical methodologies
- Experience with SQL and relational databases
Required Education
To be considered for this role, you'll need to have:
- Master's degree or equivalent in statistics, mathematics, economics, data mining, computer science, engineering, or operations research
Preferred Education
While not required, we're looking for candidates with:
- Ph.D. or equivalent in statistics, mathematics, economics, data mining, computer science, engineering, or operations research
Compensation and Benefits
arenaflex offers a competitive compensation package, including a base salary, bonus, and long-term incentive devices. We also offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
Work Environment and Company Culture
As a remote employee, you'll have the flexibility to work from anywhere, while still being part of a dynamic and collaborative team. We value diversity, equity, and inclusion, and are committed to creating a workplace culture that's inclusive and respectful of all employees.
How to Apply
If you're passionate about data-driven insights and are driven to make a meaningful impact, we want to hear from you. Please submit your application, including your resume and a cover letter, through our website.
Equal Opportunity Employer
arenaflex is an equal opportunity employer, committed to diversity, equity, and inclusion. We welcome applications from all qualified candidates, regardless of their background, race, color, religion, sex, national origin, age, disability, or genetic information.
Contact Us
If you have any questions or would like to learn more about this opportunity, please don't hesitate to contact us. We look forward to hearing from you! Apply for this job