Experienced Full Stack Data Analyst – Business Intelligence and Data Science

Join arenaflex, a leading entertainment and media conglomerate, in a remote data entry and virtual assistant role as a Senior Data Analyst.

About arenaflex

arenaflex is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. Our company is home to some of the most beloved brands in the world, including Hulu and Disney+, which offer a wide range of streaming services to millions of subscribers worldwide. As a Senior Data Analyst, you will play a critical role in helping us understand our customers and drive business growth through data-driven insights.

Job Summary

We are seeking an experienced Full Stack Data Analyst to join our team in a remote data entry and virtual assistant role. As a Senior Data Analyst, you will be responsible for analyzing and interpreting complex data sets to inform business decisions and drive growth. You will work closely with our upstream informing partners to ensure precise delivery of membership change notifications, identify subscribers impacted by episodes requiring important and lawful remediations, and collaborate with occurrence management, Business Operations, and trade designing to guarantee the integrity of our subscriber data.

Key Responsibilities

* Oversee data and document requirements related to subscriber notification drives, including cost increments, subscriber 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 subscribers of subscribers for notification as well as 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.
• In collaboration with Data Product and Data Quality Engineering, 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
• 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 Haves

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

• Postgraduate education
• Knowledge of Wind current

Work Environment and Company Culture

As a remote data entry and virtual assistant, you will have the flexibility to work from anywhere and enjoy a healthy work-life balance. arenaflex is committed to creating a diverse and inclusive work environment that values creativity, innovation, and collaboration. Our company culture is built on a foundation of trust, respect, and open communication, and we encourage our employees to take ownership of their work and contribute to our mission to entertain, inform, and inspire audiences around the world.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary range of $20-30/hour, as well as a range of benefits and perks, including:

• Comprehensive health insurance
• 401(k) matching program
• Flexible paid time off
• Professional development opportunities
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and business intelligence, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply Now! Apply for this job