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