**Experienced Data Analyst – Content Insights and Analytics at blithequark**

Remote, USA Full-time
Join blithequark, the world's leading online entertainment enterprise, as a key member of our team in the Surroundings and Operational Insights Group. With over 247 million subscribers in over 190 countries and a billion hours of streaming every month, we're revolutionizing the way people consume entertainment. As a remote Data Analyst, you'll play a crucial role in maintaining the accuracy and integrity of our vast catalog of content data, driving business decisions, and shaping the future of entertainment. **About blithequark** blithequark is a global entertainment streaming service recognized for its vast library of TV shows, movies, documentaries, and original content. Our company culture emphasizes freedom and responsibility, innovation, and a dynamic work environment. We offer flexible work arrangements, including remote work options and flexible scheduling in certain roles. Our employee benefits include competitive salaries, health and wellness programs, family-friendly policies, and opportunities for learning and career growth. **The Surroundings and Operational Insights Group at blithequark** Our team is at the forefront of improving consumer experience across the platform. We collaborate with cross-functional groups to ensure Netflix's renowned excellent and reliability standards are always met in the diverse tool atmosphere and key structures. We work closely with engineering and product control teams to enable fact series, enhance metric fidelity, and derive actionable insights around product feature reliability, tool surroundings health, and engineering operational performance. Our group's charter involves presenting stakeholders with key facts products and gear – datasets, custom metrics, and dashboards – to derive precious insights vital for informed decision-making. **About the Position** In this role, you'll work alongside software engineers and product managers to ideate, design, and enforce records-driven solutions. You may collaborate with stakeholders to understand needs, then work with engineering groups at various points of the development lifecycle to build records pipelines and a spread of analytics gear, including dashboards, indicators, and automatic reports. **Key Responsibilities** * Take complete possession of foundational facts models and boost up productization of data insights * Layout, construct, and maintain information pipelines to acquire, process, and analyze big and complex data units from various assets, including patron logging events, client pastime, and enterprise packages * Collaborate with engineers during the improvement process to integrate facts logging and reporting into product functions * Speak insights to vast sets of stakeholders across the organization * Create insightful statistics visualizations and dashboards using gear such as Tableau to assist stakeholders without problems apprehend and act upon data **Essential Qualifications** * Experience leveraging statistical inference and device gaining knowledge of models to present actionable insights * Arms-on experience constructing intuitive schemas and statistics models for net-scale datasets * High talent in fashionable records science tech stack (e.g., Python, Square, Spark) and common information visualization gear (e.g., Tableau) * Outstanding conversation skills and potential to convey data insights to stakeholders of varying technical backgrounds * Positive mind-set that welcomes opportunities to offer and receive candid feedback * Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process **Preferred Qualifications** * Experience working with big data technologies, such as Hadoop, Spark, or NoSQL databases * Familiarity with data visualization tools, such as Tableau, Power BI, or D3.js * Knowledge of cloud-based data platforms, such as AWS or GCP * Experience with agile development methodologies and version control systems, such as Git * Strong understanding of data modeling, data warehousing, and data governance **Skills and Competencies** * Strong analytical and problem-solving skills * Excellent communication and presentation skills * Ability to work in a fast-paced, dynamic environment * Strong attention to detail and organizational skills * Ability to collaborate with cross-functional teams and stakeholders * Strong understanding of data science concepts and techniques * Familiarity with data visualization tools and techniques * Ability to work with big data technologies and cloud-based data platforms **Career Growth Opportunities and Learning Benefits** blithequark offers a range of opportunities for learning and career growth, including: * Education programs and workshops * Online courses and tutorials * Mentorship and coaching programs * Opportunities for professional development and advancement * Access to industry-leading tools and technologies * Collaborative and dynamic work environment **Work Environment and Company Culture** blithequark offers a flexible work culture, including remote work options and flexible scheduling in certain roles. Our dynamic work environment is fast-paced and innovative, with a focus on collaboration and teamwork. We prioritize work-life balance and offer a range of benefits to support our employees' well-being. **Compensation, Perks, and Benefits** blithequark offers competitive salaries, health and wellness programs, family-friendly policies, and opportunities for learning and career growth. Our benefits include: * Competitive salary and bonus structure * Comprehensive health and wellness programs * Family-friendly policies, including parental leave and flexible scheduling * Opportunities for professional development and advancement * Access to industry-leading tools and technologies * Collaborative and dynamic work environment * Free subscription to blithequark's streaming service **How to Apply** If you're a motivated and detail-oriented individual with a passion for data analysis and insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the position. We look forward to hearing from you! Apply Job! Apply for this job
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