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Experienced Advanced Data Analyst – Pack Trial and Error and Examination Group at arenaflex

Work from home Full-time role Hiring

At arenaflex, we're pushing the boundaries of innovation and creativity in the entertainment industry. As a leading force in the Direct to Consumer (DTC) business, we're constantly seeking talented individuals to join our Pack Trial and Error and Examination group. This dynamic team plays a vital role in supporting the Disney Pack, including Hulu, Disney+, and ESPN+, by providing actionable insights that drive business growth.

About arenaflex

arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our company is home to some of the most beloved brands in the world, including Disney, Pixar, Marvel, Star Wars, and more. We're committed to delivering exceptional experiences to our customers, and our Pack Trial and Error and Examination group is at the forefront of this effort.

Job Summary

We're seeking an experienced Advanced Data Analyst to join our Pack Trial and Error and Examination group. As a key member of this team, you'll work closely with business leaders to identify and address complex business challenges, develop data-driven solutions, and drive business growth. If you're passionate about using data to tell stories and drive business outcomes, we want to hear from you!

Key Responsibilities

* Collaborate with business leaders to identify and prioritize business challenges related to Pack patterns and drivers

  • Develop and implement data-driven solutions to address these challenges, using a range of tools and techniques, including R/Python/SAS, SQL, and data visualization software
  • Perform in-depth pattern analysis, assessing the contributions of drivers from multiple perspectives
  • Define and investigate audience segments to drive Pack growth
  • Work with other Examination groups to integrate Pack data from multiple sources, creating a comprehensive and compelling narrative
  • Develop and maintain a continuous experiences pipeline, ensuring that all colleagues have access to a steady stream of Pack intel
  • Present findings and recommendations to business leaders, using data visualization and storytelling techniques to communicate complex insights

Essential Capabilities

* Bachelor's degree in Data Analysis, Mathematics, Data Science, or a related field, with a minimum of 3 years of experience in a related field

  • 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 direct and strategic regression, hypothesis testing, data preparation for modeling, and segmentation techniques
  • Experience working with large datasets, interpreting data patterns, and using a range of data sources and tools
  • Familiarity with data visualization tools, such as Tableau, Power BI, or Looker
  • Strong analytical skills, with the ability to apply business acumen to data analysis and recommendations
  • Excellent communication and presentation skills, with the ability to tell a story with data and organize findings into actionable recommendations

Preferred Capabilities

* Experience in the streaming media industry or other membership-based services

  • Experience working with Advertising groups or in the Marketing industry
  • Familiarity with A/B testing and MVT methodologies

What We Offer

* Competitive salary and benefits package

  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and tools
  • Recognition and rewards for outstanding performance
  • Flexible work arrangements, including remote work options

How to Apply

If you're passionate about using data to drive business outcomes and are looking for a challenging and rewarding role, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job

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