Experienced Performance Data Analyst – Remote Careers at arenaflex

Join arenaflex, a global leader in entertainment, media, and consumer products, as a Performance Data Analyst in our Consumer Insight, Measurement & Analytics (CIMA) team. As a key member of the Digital and Travel Operations Analytics (DTOA) crew, you will play a vital role in leveraging data-driven insights to drive business outcomes and guest satisfaction.

About arenaflex

arenaflex is a world-renowned entertainment and media company that creates unforgettable experiences for millions of people around the globe. Our Consumer Insight, Measurement & Analytics (CIMA) team is at the forefront of using data analytics to inform business decisions and drive growth. We are a dynamic and innovative team that values collaboration, creativity, and a passion for data storytelling.

Job Summary

As a Performance Data Analyst, you will be responsible for providing analytical support to Contact Centers and pre-arrival Walt Disney World Commerce. You will work closely with cross-functional teams to analyze data, identify trends, and develop actionable insights to inform business decisions. This role requires a strong analytical mindset, excellent communication skills, and the ability to work in a fast-paced, complex environment.

Key Responsibilities

* Conduct forecasting, ad-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
• 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 optimize reports and documents used to support various business 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 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

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 hourly rate of $25-40/hour

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

How to Apply

If you are 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 explaining why you are a strong fit for this role. Apply for this job