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

At arenaflex, we're revolutionizing the way people consume entertainment and media. Our Immediate to Shopper group oversees the Hulu and arenaflex+ streaming services, bringing The Walt arenaflex Organization's top-tier storytelling to fans and families worldwide. As a Senior Data Analyst, you'll play a crucial role in the Endorser Tasks capability within the Data Examination group, responsible for evaluating supporter adjustments across the arenaflex Streaming portfolio, including arenaflex+, Hulu, ESPN+, and Star+. If you're passionate about data analysis, problem-solving, and collaboration, we invite you to join our team and help shape the future of entertainment.

About arenaflex

arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our company is built on a foundation of imagination, courage, and a passion for storytelling. We're committed to delivering exceptional experiences to our fans and families, and we're always looking for talented individuals to join our team.

Job Summary

We're seeking an experienced Senior Data Analyst to help us drive business growth and improve our supporter experience. As a key member of our Data Examination group, you'll work closely with our upstream informing partners to ensure precise delivery of membership change notifications, identify impacted supporters, and collaborate with occurrence management, Business Operations, and trade designing to guarantee the integrity of our supporter adjustments. If you're a data-driven problem-solver with excellent analytical and communication skills, we encourage you to apply.

Key Responsibilities

* Manage data and document requirements related to supporter informing drives, including cost increments, supporter arrangements, and new data being gathered, and episode remediation, ensuring that the right clients receive discounts when required.

• Develop queries based on required business rationale, sometimes legally binding, to determine precise supporters for informing 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 supporter adjustments and the technical framework underlying supporter data.
• Manage project planning and timelines and oversee 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 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: $20-30/hour

• Opportunity to work with a global leader in the entertainment industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off
• 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 and problem-solving, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply Now! Apply for this job