Experienced Full Stack Data Analyst – Advanced Level Data Entry and Business Insights
Unlock the Secrets of Arenaflex's Data-Driven Success
Are you a data enthusiast with a passion for uncovering insights that drive business growth? Do you thrive in a fast-paced, dynamic environment where no two days are ever the same? If so, we invite you to join Arenaflex's elite team of data analysts as an Experienced Full Stack Data Analyst – Advanced Level Data Entry and Business Insights.
About Arenaflex
Arenaflex is a leading innovator in the entertainment industry, with a portfolio of iconic brands that include Hulu, Disney+, and ESPN+. Our company is dedicated to creating immersive experiences that captivate audiences worldwide. As a key player in the Direct-to-Consumer (DTC) business, we're constantly pushing the boundaries of what's possible in the world of entertainment.
The Role
As an Experienced Full Stack Data Analyst, you'll be part of our Pack Trial and Error and Examination group, which plays a critical role in supporting Arenaflex's DTC business. Your primary responsibility will be to work closely with business leaders to identify key challenges and develop data-driven solutions that drive business growth. You'll collaborate with cross-functional teams, including Marketing, Product, Data Science, and Data Operations, to ensure that our business decisions are informed by data-driven insights.
Key Responsibilities
* Partner with business leaders to define the most pressing business challenges and develop data-driven solutions to address them
- Develop and maintain a continuous experiences pipeline, ensuring that all stakeholders have access to a steady stream of Pack intel
- Perform in-depth pattern analyses, assessing the contributions of drivers from every possible angle
- Define and investigate audience segments to drive Pack growth
- Collaborate with other Examination groups to understand and leverage all relevant Pack data from various sources, integrating insights into a cohesive, compelling narrative
- Develop and maintain expertise in data visualization tools, including but not limited to Tableau, Power BI, and Looker
Essential Capabilities
* Bachelor's degree in Data Science, Mathematics, Statistics, or a related field, with a minimum of 3 years of hands-on experience in data analysis and interpretation
- Proficiency in R/Python/SAS (or another statistical analysis tool) and SQL
- Strong understanding of statistical modeling, AI, and other quantitative methodologies, including but not limited to regression analysis, hypothesis testing, data preparation for modeling, and segmentation techniques
- Ability to work with large datasets, deciphering patterns and utilizing multiple data sources and tools
- Experience with data visualization tools, including but not limited to Tableau, Power BI, and Looker
- Strong analytical skills, with the ability to apply business acumen to data analysis and recommendations
- Excellent communication skills, including the ability to present complex data insights in a clear and compelling manner
Preferred Capabilities
* Experience in the streaming media industry or other membership-based services
- Experience working with Advertising teams or in the Marketing space
- Familiarity with A/B testing and experimentation methodologies, including but not limited to MVT and Stomach muscle testing
What We Offer
* Competitive salary range: $35-$45 per year
- Comprehensive benefits package, including health, dental, and vision insurance
- 401(k) matching program
- Flexible work arrangements, including remote work options
- Opportunities for professional growth and development, including training and mentorship programs
- Collaborative and dynamic work environment, with a team of passionate and dedicated professionals
How to Apply
If you're a motivated and detail-oriented data analyst with a passion for driving business growth, we invite 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