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Experienced Full Stack Data Analyst – Virtual Assistant for arenaflex's Streaming Services

Work from home Full-time role Hiring

Job Summary:

At arenaflex, we're revolutionizing the entertainment industry with our innovative streaming services, including Hulu and Disney+. As a Senior Data Analyst, you'll play a crucial role in helping us deliver top-notch storytelling to fans and families worldwide. We're seeking a highly skilled and experienced professional to join our team and help us drive business growth through data-driven insights. If you're passionate about data analysis, virtual assistance, and streaming services, we'd love to hear from you!

About arenaflex:

arenaflex is a leading entertainment company that's home to some of the world's most beloved brands, including Disney, Hulu, and ESPN+. Our mission is to bring people together through storytelling, and we're committed to delivering exceptional experiences to our customers. With a strong focus on innovation and customer satisfaction, we're constantly pushing the boundaries of what's possible in the entertainment industry.

Job Description:

As a Senior Data Analyst, you'll be part of our Data Analysis team, responsible for providing critical insights to support business decisions across the organization. You'll work closely with our upstream partners to ensure accurate delivery of membership change notifications, including price increases, subscriber agreements, and new data collection. Your primary objective will be to identify subscribers impacted by episodes requiring important and lawful remediations, ensuring that our customers receive the discounts they deserve.

Key Responsibilities:

* Manage data and document requirements related to subscriber notifications, including price increases, subscriber agreements, and new data collection, as well as episode remediation to ensure that the right customers receive discounts when required.

  • Develop queries based on required business logic, sometimes legally binding, to determine precise subscribers for notifications and remediation.
  • Communicate business requirements to technical teams and provide concise summaries of technical progress or potential detours to business partners.
  • Develop a solid understanding of subscriber data and the technical framework that underlies subscriber information.
  • Oversee project planning and timelines and manage cross-functional delivery to ensure readiness for significant business events.
  • Drive alignment across Data, Business Operations, and Finance through the development of strong communication processes and functional playbooks.
  • Collaborate with Data Products and Data Quality Engineering to contribute to the design of robust reporting solutions that minimize data incidents.

Essential Qualifications:

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

  • 2+ years of analytical experience.
  • Proven ability to communicate technical or analytical ideas to a wide range of audiences.
  • Knowledge of Python/R or other statistical programming languages.
  • Familiarity with 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.

What We Offer:

* Competitive salary range of $20-30/hour.

  • Opportunity to work with a leading entertainment company in a dynamic and innovative environment.
  • Collaborative and supportive team culture.
  • Professional development opportunities to enhance your skills and career growth.
  • Flexible work arrangements, including remote work options.

How to Apply:

If you're a motivated and experienced data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Now! Apply for this job

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