Experienced Full Stack Data Analyst – Performance Analytics and Forecasting

Join arenaflex in a Remote Work Environment

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 critical role in leveraging data-driven insights to drive business outcomes and guest satisfaction.

About arenaflex

arenaflex is a global leader in the entertainment industry, known for its innovative approach to storytelling and customer experience. Our Consumer Insight, Measurement & Analytics (CIMA) team is at the forefront of this innovation, using data analytics to inform business decisions and drive growth. As a member of our team, you will be part of a dynamic and collaborative environment that values creativity, curiosity, and a passion for learning.

Job Responsibilities

As a Performance Analyst, you will be responsible for: ### Performance Analytics and Forecasting

• Conduct forecasting, advert hoc modeling, and deep-dive evaluation to inform business decisions
• Monitor agent performance, proactively identify areas for improvement, and develop personalized analyses from start to finish
• Build dashboards and visualizations to tell compelling stories with data
• Present and discuss findings, insights, and recommendations to Senior Leadership and business partners
• Create, maintain, audit, and continuously optimize reports and documents used to support various programs
• Execute programs critical to the business operation under strict timelines

### Measurement and Analytics

• Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to conduct analyses and build/maintain reports
• Monitor data quality and accuracy; improve if needed
• Collaborate with team members, leaders, and business partners to answer summary business questions with sound quantitative analyses and reproducible results
• Apply advanced analytical techniques to test hypotheses and extract actionable insights
• Stay up-to-date with current data technology trends and share knowledge and best practices with team members

We're Looking for Someone with:

* 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 technologies
• 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 hourly rate of $25-40/hour

• Opportunity to work with a global leader in the entertainment industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible remote work arrangement
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off

How to Apply:

If you're a motivated and detail-oriented individual with a passion for data analytics, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job