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

100% remote Flexible hours Hiring now

Job Summary:

Join arenaflex, a leading entertainment and media company, as a highly skilled Data Analyst in our High-Level Investigation, Content Group. As an Information Expert, you will be an integral part of our team that applies scientific rigor to enhance our content portfolio, marketing, and release strategy. If you're a detail-oriented individual with a passion for using data to drive business decisions, and you're eager to learn and grow with a dynamic team, then this is an exciting opportunity for you.

About arenaflex:

arenaflex is a global entertainment and media company that has been a leader in the industry for decades. With a rich history of innovation and creativity, we continue to push the boundaries of storytelling and entertainment. Our mission is to provide our audiences with the best possible content, and we're committed to using data and analytics to drive our business decisions.

Job Description:

As a Data Analyst in our High-Level Investigation, Content Group, you will be responsible for applying advanced analytical techniques to large-scale, high-dimensional data to inform business decisions. You will work closely with our content team to analyze client behavior, identify untapped client needs, and uncover new content opportunities. Your expertise will help us optimize our content release and episode discharge strategy, test marketing campaigns, and measure content performance.

Key Responsibilities:

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

  • Analyze client behavior, including type preferences and viewing patterns, to identify untapped client needs and uncover new content opportunities.
  • Develop predictive models to forecast content engagement and inform procurement decisions.
  • Streamline our content release and episode discharge methodology to improve efficiency and effectiveness.
  • Test marketing campaigns 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 growth.
  • Effectively communicate complex data insights to stakeholders through compelling storytelling and visualizations.

Essential Qualifications:

* Bachelor's degree in Mathematics, Statistics, Computer Science, Data 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 machine learning algorithms, including decision trees, regression, and 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 data visualization tools, such as Tableau or Power BI.
  • Familiarity with cloud-based data platforms, such as AWS or Google Cloud.
  • Passion for media and entertainment.

What We Offer:

* Competitive salary of $22/hour.

  • Opportunity to work with a dynamic and innovative team.
  • Collaborative and inclusive work environment.
  • Professional development opportunities, including training and mentorship.
  • Flexible work arrangements, including remote work options.
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off.

How to Apply:

If you're a motivated and detail-oriented individual with a passion for data analysis and storytelling, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job

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