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Experienced Full Stack Data Analyst – Disney Data Entry Remote Jobs, Virtual Assistant

Work from home Full-time role Hiring

At arenaflex, we're on a mission to revolutionize the way we interact with data, and we're looking for a talented and experienced Full Stack Data Analyst to join our team. As a key member of our Data Analysis group, you'll play a critical role in helping us drive business growth and inform strategic decisions through data-driven insights.

About arenaflex

arenaflex is a leading provider of innovative solutions for the entertainment industry. Our team of experts is dedicated to delivering exceptional results and pushing the boundaries of what's possible. We're passionate about using data to tell stories and drive business outcomes, and we're looking for like-minded individuals to join our team.

Job Highlights

* Immediate openings available

  • Competitive salary
  • Full-time remote position
  • Opportunity to work with a leading entertainment company
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities

Job Details

*

Hiring Organization:

arenaflex

Post Name:

Sr Data Analyst

Qualifications:

Bachelor's Degree

Industry:

Private

Employment Type:

Full-time

Work Hours:

8 hours

Salary:

$20-30/hour

Locations:

Remote (New York, USA)

System Summary

arenaflex's Immediate to Shopper group oversees the Hulu and Disney+ streaming services within the Disney Entertainment division, helping to bring The Walt Disney Company's top-tier storytelling to fans and families worldwide. We're seeking a Senior Data Analyst to join our Endorser Tasks capability within the Data Analysis group, responsible for estimating supporter adjustments across the Disney Streaming portfolio, including Disney+, Hulu, ESPN+, and Star+.

Key Responsibilities

* Assist in continuous supporter measuring for various business key drivers

  • Work closely with upstream informing partners to ensure precise delivery of membership change informing (including cost increments, supporter arrangements, and new information being gathered)
  • Identify supporters impacted by episodes requiring important and lawful remediations
  • Collaborate with occurrence management, Business Operations, and trade designing to ensure integrity of supporter adjustments and that clients receive discounts when required
  • 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 receive discounts when required)
  • Develop questions based on required business rationale, sometimes legally committing, to determine precise supporters of supporters for informing and remediation
  • Communicate business requirements to technical groups and provide concise summaries of technical progress or potential detours to business partners
  • Develop a solid understanding of supporter adjustments and the technical framework that underlies supporter information
  • Manage project planning and timelines and coordinate 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 Product and Data Quality Designing to 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 Have

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

  • Postgraduate education
  • Knowledge of Wind current Apply Job!

Simple Application Process

Ready to join us? The first step is easy. Click apply now and we'll be in touch soon! apply to this job

Why Join arenaflex?

* Collaborative and dynamic work environment

  • Opportunity to work with a leading entertainment company
  • Professional development and growth opportunities
  • Competitive salary and benefits package
  • Flexible remote work arrangement
  • Access to cutting-edge technology and tools
  • Collaborative and supportive team environment

What We Offer

* Competitive salary and benefits package

  • Flexible remote work arrangement
  • Access to cutting-edge technology and tools
  • Collaborative and supportive team environment
  • Professional development and growth opportunities
  • Opportunity to work with a leading entertainment company
  • Collaborative and dynamic work environment

How to Apply

Ready to join us? The first step is easy. Click apply now and we'll be in touch soon! apply to this job

Contact Us

If you have any questions or would like to learn more about this opportunity, please don't hesitate to contact us. We look forward to hearing from you! [email protected] Apply for this job

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