**Join arenaflex in a Remote Role for an Immediate Start**
Are you a data enthusiast with a passion for storytelling and a knack for analytics? Do you thrive in fast-paced environments where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Data Analyst to join our Consumer Insight, Measurement & Analytics (CIMA) team, part of Disney Parks, Experiences and Products. As a Performance Analyst, you will play a crucial role in leveraging data-driven insights to drive business outcomes and guest satisfaction.
**About arenaflex**
arenaflex is a leading entertainment and media company that has been a household name for generations. Our mission is to create unforgettable experiences for our guests, and we're committed to using data and analytics to inform our decision-making and drive innovation. Our CIMA team is at the forefront of this effort, using cutting-edge analytics and insights to optimize our business operations and improve guest satisfaction.
**About the Role**
As a Performance Analyst, you will be responsible for providing analytical support to our Contact Centers and pre-arrival Walt Disney World Commerce teams. You will work closely with our Digital and Travel Operations Analytics (DTOA) team to develop and implement data-driven solutions that drive business outcomes and guest satisfaction. Your key responsibilities will include:
### Key Responsibilities
* **Performance Analytics and Forecasting**: Conduct forecasting, advert hoc modeling, and deep-dive analysis to inform business decisions. Monitor agent performance, proactively identify areas for improvement, and develop personalized analyses from start to finish.
* **Measurement and Analytics**: Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to conduct analyses and build/preserve reports. Monitor data quality and accuracy, and collaborate with team members, leaders, and business partners to respond to business questions with sound quantitative analyses and reproducible results.
* **Data Storytelling**: Build shows and visualizations to inform compelling stories with data. Present and discuss findings, insights, and recommendations to Senior Leadership and business partners.
* **Process Execution**: Execute programs critical to business operations under strict timelines, ensuring accuracy and quality.
### Essential Qualifications
* **Bachelor's degree** and 2+ years of quantitative, non-internship experience in an analytical role
* **Familiarity with forecasting**, including conventional statistical techniques and/or machine learning or deep learning techniques
* **Proactive interest** in understanding the "why" behind performance, decisions, etc.
* **Strong attention to detail** and ability to follow through on tasks and complete projects on time
* **Effective communication skills** (verbal, written, and visual)
* **Desire to excel** in a fast-paced, complex, and ambiguous business environment
* **Experience with SQL** and R or Python
### Nice-to-Haves
* **Solid knowledge** of statistical inference and proven experience in applying statistical rigor to analyses
* **Knowledge of data visualization best practices** and experience with data visualization tools, including Tableau or Power BI
* **Excellent SQL skills** and fluency in R or Python
* **Ability to quickly adapt** and learn new tools and skills
* **Ability to maintain and develop relationships** with partners/clients/team members
* **Graduate degree** and/or 4+ years of relevant experience in analytics or data science
### What We Offer
* **Competitive salary** ($25-40/Hour)
* **Opportunities for career growth** and professional development
* **Collaborative and dynamic work environment**
* **Flexible remote work arrangement**
* **Comprehensive benefits package**, including health insurance, retirement plan, and paid time off
* **Access to cutting-edge technology** and tools
* **Opportunities to work on high-impact projects** and contribute to the success of arenaflex
### How to Apply
If you're a motivated and analytical individual with a passion for data storytelling, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you!