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Experienced Full Stack Data Analyst – Media and Entertainment Insights

100% Remote Full-time Open now

Are you a data-driven individual with a passion for media and entertainment? Do you thrive in a fast-paced environment where no two days are the same? Look no further! blithequark is seeking an exceptional Data Analyst to join our High-Level Investigation, Content group. As a key member of our team, you will apply scientific rigor to drive business decisions and propel our content portfolio to new heights.

About blithequark

blithequark is a leading media and entertainment company that is revolutionizing the way we 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 common passion for media and entertainment. We are proud to be a part of the blithequark family and are excited to welcome a new team member to our dynamic and inclusive environment.

Job Summary

As a Data Analyst at blithequark, you will be responsible for applying advanced analytical techniques to drive business decisions and optimize our content portfolio. You will work closely with our content team to identify trends, patterns, and insights that inform our content strategy. Your expertise in data analysis, statistical modeling, and data visualization will enable you to communicate complex findings to stakeholders and drive business outcomes.

Key Responsibilities

* Apply advanced analytical techniques (data mining, data visualization, statistical analysis, AI) to large-scale, high-dimensional data to inform business decisions

  • Analyze client behavior (e.g., viewing patterns, engagement metrics) to identify untapped client needs and untapped content opportunities
  • Develop predictive models to forecast content engagement and inform procurement decisions
  • Streamline our content launch and episode release process to optimize engagement and retention
  • Test marketing strategies to optimize engagement and retention
  • Ideate and develop new metrics and KPIs to measure content performance and inform strategic decisions
  • Provide ad-hoc analysis support to partners to drive business outcomes
  • Effectively communicate complex findings through compelling data storytelling across the organization

Essential Qualifications

* Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field

  • At least 2 years of experience in data analysis, with a strong background in statistical modeling and data visualization
  • Proficiency in SQL and experience with R and Python programming languages
  • Experience with machine learning algorithms and techniques (e.g., decision trees, regression, clustering)
  • Proven ability to work independently and apply creativity to solve complex problems
  • Excellent data storytelling skills through verbal, written, and visual communication

Preferred Qualifications

* Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field

  • Experience with big data technologies (e.g., Hadoop, Spark)
  • Familiarity with cloud-based data platforms (e.g., AWS, GCP)
  • Strong understanding of media and entertainment industry trends and challenges

What We Offer

* Competitive salary ($22/hour)

  • Opportunity to work with a leading media and entertainment company
  • Collaborative and dynamic work environment
  • Professional development opportunities to enhance your skills and career growth
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • Flexible work arrangements to support work-life balance

How to Apply

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

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