**Experienced Full Stack Data Analyst – Advanced Level Job at blithequark**

**Join blithequark's Innovative Data Science Team and Unlock Your Potential** Are you a data enthusiast with a passion for uncovering insights and driving business growth? Do you thrive in a fast-paced, dynamic environment where no two days are ever the same? If so, we invite you to join blithequark's cutting-edge data science team as an Experienced Full Stack Data Analyst. **About blithequark** blithequark is a leading innovator in the entertainment industry, with a portfolio of iconic brands that include Hulu, Disney+, and ESPN+. Our company is dedicated to creating immersive experiences that captivate audiences worldwide. As a key player in the streaming media industry, we're constantly pushing the boundaries of what's possible with data-driven insights. **Our Data Science Team** Our data science team is a collaborative, cross-functional group of experts who work together to drive business growth and inform strategic decisions. We're passionate about harnessing the power of data to tell compelling stories and unlock new opportunities. As a member of our team, you'll have the chance to work on high-impact projects that make a real difference in the business. **Job Summary** We're seeking an Experienced Full Stack Data Analyst to join our team and help drive business growth through data-driven insights. As a key member of our data science team, you'll work closely with business leaders to identify key challenges and develop data-driven solutions. You'll be responsible for analyzing large datasets, identifying trends and patterns, and developing actionable recommendations to inform business decisions. **Key Responsibilities** * Collaborate with business leaders to identify key challenges and develop data-driven solutions * Develop and maintain large datasets, including data ingestion, processing, and storage * Analyze complex data sets to identify trends, patterns, and correlations * Develop and implement data visualizations and reporting tools to communicate insights to stakeholders * Work with cross-functional teams to develop and implement data-driven solutions * Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive innovation and improvement **Essential Qualifications** * Bachelor's degree in Data Science, Statistics, Mathematics, or a related field * At least 3 years of experience in data analysis, with a strong background in statistical modeling and data visualization * Proficiency in R, Python, or SAS, with experience working with large datasets * Strong understanding of data structures, algorithms, and software design patterns * Experience with data visualization tools, such as Tableau, Power BI, or D3.js * Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders **Preferred Qualifications** * Experience working in the streaming media industry or other membership-based services * Experience working with advertising groups or in the marketing industry * Familiarity with cloud-based data platforms, such as AWS or Google Cloud * Experience with machine learning algorithms and deep learning techniques * Strong understanding of data governance and data quality principles **What We Offer** * Competitive salary and benefits package * Opportunity to work on high-impact projects that drive business growth * Collaborative, dynamic work environment with a team of passionate data enthusiasts * Professional development opportunities, including training and mentorship * Flexible work arrangements, including remote work options * Access to cutting-edge technologies and tools, including cloud-based data platforms and machine learning algorithms **How to Apply** If you're a motivated and talented data professional looking for a new challenge, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! **Apply Now!** Apply Job! Apply for this job