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Experienced Full Stack Data Analyst – Web & Cloud Application Development

Worldwide Salaried Open

Join arenaflex, a leading entertainment and media conglomerate, as we seek a highly skilled Senior Data Analyst to join our team of experts in the Information Examination group.

About arenaflex

arenaflex is a global leader in the entertainment and media 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, Hulu, and ESPN+. We are committed to delivering exceptional experiences to our fans and families around the globe. Our team of experts is dedicated to pushing the boundaries of storytelling and entertainment, and we are looking for talented individuals to join us on this journey.

About the Role

We are seeking an experienced Senior Data Analyst to join our team in the Information Examination group. As a Senior Data Analyst, you will play a critical role in helping us understand our audience and deliver personalized experiences to our fans. You will work closely with our upstream informing partners to ensure the precise delivery of membership change informing, including cost increments, supporter arrangements, and new information being gathered. You will also assist in identifying supporters impacted by episodes requiring important and lawful remediations.

Key Responsibilities

* Manage admission and record information requirements connected with supporter informing drives (including cost increments, supporter arrangements, and new information being gathered) and episode remediation (ensuring that the right clients get discounts when required).

  • Develop questions based on required business rationale, sometimes legally binding, to determine precise companions of supporters for informing as well as remediation.
  • Convey business requirements to technical groups, and provide concise summaries of technical progress or potential detours to business partners.
  • Develop a solid understanding of supporter adjusts and the technical framework that underlies supporter information.
  • Manage project planning and timelines and manage cross-functional delivery to ensure readiness for significant business events.
  • Drive alignment across Information, Business Operations, and Finance through the development of strong communication processes and functional playbooks.
  • In collaboration with Information Product and Data Quality Engineering, contribute to the design of robust reporting solutions that minimize data occurrences.

Essential Qualifications

* 2+ years of work experience creating in SQL, particularly in an ETL processing pipeline.

  • 2+ years of logical experience.
  • Proven ability to convey technical or logical ideas to a wide range of audiences.
  • Knowledge of Python/R or other statistical programming languages.
  • Knowledge of data analysis and data visualization tools like Tableau, Looker, Chartio, etc.
  • Strong relational skills, as well as written and verbal communication skills.

Good To Haves

* Understanding of statistical concepts (e.g., hypothesis testing, regression analysis).

  • Postgraduate education.
  • Knowledge of Wind current.

Why Join arenaflex?

* Opportunity to work with a leading entertainment and media conglomerate.

  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Access to cutting-edge technology and tools.
  • Collaborative and dynamic work environment.

What We Offer

* Competitive salary: $20-30/hour.

  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • Opportunities for career growth and professional development.
  • Access to cutting-edge technology and tools.
  • Collaborative and dynamic work environment.

How to Apply

If you are a motivated and experienced data analyst looking for a new challenge, please submit your application through our website. We look forward to hearing from you! Apply Job! Apply for this job

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