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Experienced Full Stack Data Analyst – Web & Cloud Application Development at arenaflex

Work from home Full-time role Hiring

Job Summary:

Join arenaflex, a leading entertainment and media conglomerate, as a Senior Data Analyst in our Data Examination group. As a key member of our Supporter Tasks capability, you will play a vital role in estimating endorser adjusts across the Disney Streaming portfolio, including Disney+, Hulu, ESPN+, and Star+. This is an exciting opportunity to work with a talented team, leveraging your analytical skills and expertise in data analysis, SQL, and statistical programming languages.

About arenaflex:

arenaflex is a global leader in the entertainment and media industry, bringing the magic of Disney, Pixar, Marvel, Star Wars, and National Geographic to fans and families around the world. Our Immediate to Purchaser group administers the Hulu and Disney+ streaming organizations, providing top-tier storytelling to audiences everywhere. We are committed to innovation, creativity, and excellence in all aspects of our business.

Job Description:

As a Senior Data Analyst at arenaflex, you will be responsible for the estimation of endorser adjusts across the Disney Streaming portfolio. Your primary objective will be to assist in continuous partner estimating for various business key drivers. You will work closely with our upstream informing partners to ensure precise delivery of membership change informing (including cost increments, supporter arrangements, and new information being gathered) by determining which subscribers should receive our legally required warnings. Additionally, you will assist in identifying subscribers impacted by events requiring essential and lawful remediations.

Key Responsibilities:

* Oversee admission and record information requirements connected with subscriber informing drives (including cost increments, subscriber arrangements, and new information being gathered) and occurrence remediation (ensuring that the right clients receive discounts when required).

  • Develop queries based on required business rationale, sometimes legally committing, to determine precise partners of subscribers for informing or potentially remediation.
  • Communicate business requirements to technical teams, and provide concise summaries of technical progress and potential roadblocks to business partners.
  • Develop a solid understanding of subscriber adjusts and the technical framework that underlies subscriber information.
  • Oversee project planning and timelines, and supervise cross-functional delivery to ensure status 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 Product and Data Quality Engineering to contribute to the design of robust reporting solutions that minimize data breaches.

Essential Qualifications:

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

  • 3+ years of scientific experience.
  • Proven ability to convey technical or potentially 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.
  • Degree in a scientific field.

Good To Haves:

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

  • Postgraduate education.
  • Knowledge of Windstream.

What We Offer:

* Competitive salary of $27/hour.

  • Opportunity to work with a talented team in a dynamic and innovative environment.
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • Professional development opportunities, including training and education programs.
  • Collaborative and inclusive work environment.

How to Apply:

If you are a motivated and analytical individual with a passion for data analysis and problem-solving, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

Equal Employment Opportunity:

arenaflex is an equal employment opportunity employer. We are committed to diversity and inclusion in the workplace, and we welcome applications from qualified candidates of all backgrounds. Apply for this job

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