Experienced Full Stack Data Analyst – Web & Cloud Application Development

Are you a skilled data analyst looking for a challenging and rewarding role in a dynamic industry? Do you have a passion for working with large datasets and developing insights that drive business growth? Look no further than blithequark, a leading entertainment and media company that is revolutionizing the way people consume content. We are seeking an experienced Full Stack Data Analyst to join our team, working on a remote basis. As a key member of our Data Analysis group, you will play a critical role in helping us to drive business growth and improve customer engagement across our streaming platforms, including Disney+, Hulu, ESPN+, and Star+. If you have a strong background in data analysis, a passion for working with large datasets, and excellent communication skills, we want to hear from you.

About blithequark

blithequark 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 Disney, Pixar, Marvel, and Star Wars. We are committed to delivering exceptional entertainment experiences to our customers, and we are always looking for talented individuals to join our team.

Job Summary

As a Full Stack Data Analyst at blithequark, you will be responsible for analyzing large datasets to identify trends and insights that drive business growth. You will work closely with our upstream data partners to ensure the accurate delivery of membership change notifications, including cost increases, subscriber agreements, and new data collection. You will also be responsible for identifying subscribers impacted by events requiring critical and legal remediations, and working with episode management, business operations, and trade design to ensure the accuracy of our subscriber data and that customers receive discounts when required.

Key Responsibilities

* Manage data and record information requirements related to subscriber notification drives, including cost increases, subscriber agreements, and new data collection, and occurrence remediation, ensuring that the right customers receive discounts when required.

• Develop queries based on required business logic, sometimes legally committing, to determine precise partners of subscribers for notification or potential remediation.
• Communicate business requirements to technical teams, and provide brief summaries of technical progress and potential roadblocks to business partners.
• Develop a solid understanding of subscriber data and the technical framework that underlies subscriber information.
• Manage 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 Products 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 leading entertainment and media company.
• Collaborative and dynamic work environment.
• Flexible remote work arrangement.
• Opportunities for professional growth and development.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.

How to Apply

If you are a motivated and experienced data analyst looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job