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Experienced Full Stack Data Analyst – Web & Cloud Application Development

Remote Full-time Live

Join arenaflex in shaping the future of entertainment and streaming services

Are you a data enthusiast with a passion for storytelling? Do you thrive in a fast-paced environment where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Data Analyst to join our team in New York, USA. As a key member of our Data Analysis group, you will play a critical role in helping us deliver top-notch entertainment experiences to fans and families worldwide.

About arenaflex

arenaflex is a leading entertainment and media conglomerate, home to iconic brands like Disney, Hulu, and ESPN+. Our mission is to bring people together through the power of storytelling, and we're committed to innovation and excellence in everything we do. With a rich history of creating unforgettable experiences, we're now looking for talented individuals like you to join our team and help shape the future of entertainment.

Job Summary

We're seeking a highly skilled Full Stack Data Analyst to join our Data Analysis group, responsible for the estimation of supporter adjusts across the Disney Streaming portfolio, including Disney+, Hulu, ESPN+, and Star+. As a key member of our team, you will work closely with our upstream informing accomplices to guarantee precise conveyance of membership change informing and identify endorsers impacted by episodes requiring important and lawful remediations.

Key Responsibilities

* Oversee admission and archive information prerequisites connected with supporter informing drives (counting cost increments, endorser arrangements, and new information being gathered) and episode remediation (guaranteeing that the right clients get discounts when required).

  • Foster questions in light of required business rationale, in some cases lawfully committing, to decide precise companions of supporters for informing as well as remediation.
  • Convey business prerequisites to specialized groups, and give compact rundowns of specialized progress or potentially detours to business partners.
  • Foster solid information on supporter adjusts and the specialized framework that underlies endorser information.
  • Oversee project arranging and timetables and manage cross-practical conveyance to guarantee preparation for significant business occasions.
  • Drive arrangement across Information, Business Tasks, and Money through the improvement of solid correspondence processes and functional playbooks.
  • In a joint effort with Information Item and Information Quality Designing, add to the plan of strong revealing arrangements that limit information occurrences.

Essential Qualifications

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

  • 2+ long periods of logical experience.
  • Shown insight with conveying specialized or potentially logical ideas to wide arrangement of crowds.
  • Knowledge of Python/R or other factual programming dialects.
  • Knowledge of information investigation and information perception apparatuses like Scene, Looker, Chartio, and so forth.
  • Solid relational abilities, as well as composed and verbal show abilities.

Good To Haves

* Comprehension of insights ideas (e.g., speculation testing, relapse examination).

  • Postgraduate education.
  • Knowledge of Wind current.

What We Offer

* Competitive salary: $20-30/Hour

  • Opportunity to work with a leading entertainment and media conglomerate
  • Collaborative and dynamic work environment
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • Professional development opportunities and training programs
  • Flexible work arrangements, including remote work options

How to Apply

If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Job! Apply for this job

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