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Experienced Full Stack Data Analyst – High-Level Investigation, Content Group at blithequark

Remote, USA Full-time Posted 2026-06-16

Are you a data enthusiast with a passion for driving business decisions through data-driven insights? Do you thrive in a fast-paced environment where no two days are the same? If so, we invite you to join the High-Level Investigation, Content Group at blithequark as a Full Stack Data Analyst. As a key member of our team, you will play a crucial role in analyzing and interpreting complex data to inform business strategies and drive growth.

About blithequark

blithequark is a leading entertainment company that is revolutionizing the way people consume content. With a rich history of innovation and a commitment to excellence, we are constantly pushing the boundaries of what is possible. Our team is comprised of talented individuals from diverse backgrounds who share a passion for storytelling and a drive to succeed. As a Full Stack Data Analyst at blithequark, you will be part of a dynamic team that is shaping the future of entertainment.

Job Summary

We are seeking an experienced Full Stack Data Analyst to join our High-Level Investigation, Content Group. As a key member of our team, you will be responsible for applying advanced data analysis techniques to drive business decisions and inform content strategies. You will work closely with cross-functional teams to analyze and interpret complex data, identify trends and patterns, and develop actionable insights. If you are a data enthusiast with a passion for driving business decisions through data-driven insights, we encourage you to apply for this exciting opportunity.

Key Responsibilities

As a Full Stack Data Analyst at blithequark, you will be responsible for:

  • Applying advanced data analysis techniques (data mining, data visualization, statistical analysis, AI) to large-scale, high-dimensional data to inform business decisions
  • Analyzing client behavior (e.g., viewing patterns, engagement metrics) to identify untapped client needs and undiscovered content opportunities
  • Developing predictive models to forecast content engagement and inform procurement decisions
  • Streamlining our content launch and episode release processes to optimize engagement and maintenance
  • Testing marketing strategies to enhance engagement and retention
  • Ideating and developing new metrics and KPIs to measure content performance for both strategic and tactical navigation
  • Providing ad-hoc analysis support to partners to drive business growth
  • Effectively communicating significant results through compelling data storytelling across the organization

Essential Qualifications

To be successful as a Full Stack Data Analyst at blithequark, you will need:

  • A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
  • At least 2 years of experience in data analysis, with a focus on statistical analysis and AI methods
  • Proficiency in SQL and experience with R and Python programming languages
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Strong analytical and problem-solving skills, with the ability to work independently and apply creativity to tackle complex problems
  • Excellent data storytelling skills through verbal, written, and visual communication

Preferred Qualifications

While not required, the following qualifications would be a plus:

  • A Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field
  • Experience with machine learning algorithms and deep learning techniques
  • Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud)
  • A passion for media and entertainment

What We Offer

As a Full Stack Data Analyst at blithequark, you will enjoy a competitive salary, comprehensive benefits package, and opportunities for career growth and development. You will also be part of a dynamic team that is shaping the future of entertainment.

How to Apply

If you are a data enthusiast with a passion for driving business decisions through data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. Apply Now! Apply for this job

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