**Experienced Data Analyst – High-Level Investigation and Content Development at blithequark**
Are you a data-driven individual with a passion for media and entertainment? Do you thrive in a fast-paced environment where you can apply your analytical skills to drive business decisions? Look no further! blithequark is seeking an experienced Data Analyst to join our High-Level Investigation and Content Development team. As a Data Analyst at blithequark, you will play a crucial role in analyzing large-scale, high-dimensional data to inform business decisions and drive growth. **About blithequark** blithequark is a leading entertainment company that is revolutionizing the way people consume media and entertainment. With a rich history of innovation and a commitment to excellence, blithequark is a place where talented individuals can come together to create something truly special. Our company culture is built on a foundation of collaboration, creativity, and a passion for storytelling. **Job Summary** As a Data Analyst at blithequark, you will be responsible for applying advanced analytical techniques to large-scale, high-dimensional data to inform business decisions and drive growth. You will work closely with our content development team to analyze client behavior, identify trends, and develop insights that inform content strategy. If you are a data-driven individual with a passion for media and entertainment, we encourage you to apply for this exciting opportunity. **Key Responsibilities** * Apply advanced analytical techniques (data mining, data visualization, statistical analysis, AI) to large-scale, high-dimensional data to inform business decisions and drive growth * Analyze client behavior (e.g., viewing patterns, engagement metrics) to identify trends and develop insights that inform content strategy * Develop predictive models to forecast content engagement and inform procurement decisions * Streamline content release and episode discharge methodology to improve efficiency and effectiveness * 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 growth * Effectively communicate insights and results 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 focus on statistical analysis and AI methods * Proficiency in SQL and experience with R and Python programming languages * Experience with machine learning algorithms and statistical modeling 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 data visualization tools (e.g., Tableau, Power BI) * Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud) * Experience with agile development methodologies and version control systems (e.g., Git) * Passion for media and entertainment, with a strong understanding of the industry and its trends **What We Offer** * Competitive salary and benefits package * Opportunity to work with a leading entertainment company and contribute to the development of innovative products and services * Collaborative and dynamic work environment with a team of talented professionals * Professional development opportunities, including training and mentorship programs * Flexible work arrangements, including remote work options * Access to cutting-edge technology and tools, including cloud-based data platforms and data visualization software **How to Apply** If you are a data-driven individual with a passion for 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. We look forward to hearing from you! Apply Now! Apply for this job