Experienced Full Stack Data Analyst – Performance Analytics and Forecasting for arenaflex
At arenaflex, we're a dynamic and innovative organization that's pushing the boundaries of what's possible in the world of entertainment and beyond. As a leading player in the industry, we're always looking for talented individuals who share our passion for excellence and our commitment to delivering exceptional results. If you're a data enthusiast with a passion for storytelling and a knack for analytics, 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 at the forefront of this innovation, using cutting-edge analytics and insights to drive business decisions and improve guest experiences. Within CIMA, our Digital and Travel Operations Analytics (DTOA) team is dedicated to leveraging best practices in analytics to unlock insights, analyze, and optimize our digital and contact channels to drive business outcomes and guest satisfaction.
Job Summary
We're seeking an experienced Full Stack Data Analyst to join our DTOA team as a Performance Analyst. As a key member of our team, you'll play a critical role in providing analytical support for Contact Centers and pre-arrival Walt Disney World Commerce. You'll work closely with our team to develop, manage, and analyze data to inform business decisions, drive growth, and improve guest experiences.
Key Responsibilities
* Performance Analytics and Forecasting: Conduct forecasting, ad-hoc modeling, and deep-dive analysis to inform business decisions
- Measurement and Analytics: Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to analyze data and build/preserve reports
- Data Storytelling: Build shows and visualizations to inform compelling stories with data
- Communication: Present and discuss findings, insights, and recommendations to Senior Leadership and business partners
- Process Management: Create, maintain, audit, and optimize reports and documents used to manage various programs
- Project Execution: Execute programs critical to the business operation under strict timelines
Essential Qualifications
* Bachelor's Degree: In a quantitative field such as mathematics, statistics, computer science, or economics
- 2+ Years of Experience: In an analytical role, with a focus on data analysis, forecasting, and business intelligence
- Analytical Skills: Strong analytical skills, with the ability to collect, analyze, and interpret complex data
- Communication Skills: Effective communication skills, with the ability to present complex data insights to non-technical stakeholders
- Technical Skills: Proficiency in SQL, R, or Python, with experience in data visualization tools such as Tableau or Power BI
Nice-to-Haves
* Advanced Analytics: Solid knowledge of statistical inference and proven experience in applying statistical rigor to analyses
- Data Visualization: Knowledge of data visualization best practices and experience with data visualization tools
- Programming Skills: Excellent SQL skills and fluency in R or Python
- Adaptability: Ability to quickly adapt to new tools and technologies
- Relationship Building: Ability to build and maintain relationships with partners, clients, and team members
What We Offer
* Competitive Salary: $25-40/hour, depending on experience
- Flexible Work Arrangements: Remote work options available
- Opportunities for Growth: Career growth opportunities and learning benefits
- Collaborative Environment: Collaborative and dynamic work environment with a team of passionate professionals
- Recognition and Rewards: Recognition and rewards for outstanding performance and contributions
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! Apply Now! Apply for this job