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