**Experienced Full Stack Data Analyst – Performance Analytics and Forecasting for Disney Remote Jobs**

Remote Full-time
Are you ready to unleash your analytical prowess and drive business results in a dynamic and innovative environment? Do you have a passion for storytelling with data and a knack for extracting actionable insights from complex information? If so, we invite you to join the esteemed team at blithequark as a Performance Analyst in our Consumer Insight, Measurement & Analytics (CIMA) division. **About blithequark** blithequark is a global leader in the entertainment and media industry, renowned for its commitment to innovation, creativity, and excellence. Our Consumer Insight, Measurement & Analytics (CIMA) division is at the forefront of leveraging data-driven insights to inform business decisions and drive growth. As a Performance Analyst, you will be part of a vibrant community that values collaboration, continuous learning, and professional growth. **Job Responsibilities** As a Performance Analyst, you will play a critical role in driving business results and defining industry standards. Your key responsibilities will include: * **Performance Analytics and Forecasting**: Conduct forecasting, advert hoc modeling, and deep-dive analysis to inform business decisions. Monitor agent performance, proactively identify areas for improvement, and develop personalized analyses from start to finish. * **Measurement and Analytics**: Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to conduct analyses and build/preserve reports. Monitor data quality and accuracy, and collaborate with team members, leaders, and business partners to respond to business questions with sound quantitative analyses and reproducible results. * **Data Storytelling**: Build shows and visualizations to inform compelling stories with data. Present and discuss findings, insights, and recommendations to Senior Leadership and business partners. * **Process Execution**: Execute programs critical to the business operation under strict timelines, ensuring accuracy and quality. **What You'll Need** To succeed in this role, you will require: * **Bachelor's degree** and 2+ years of quantitative, non-internship experience in an analytical function. * **Familiarity with forecasting**, including conventional statistical techniques and/or machine learning or deep learning techniques. * **Proactive curiosity** to understand the "Why" behind performance, decisions, etc. * **Strong attention to detail** and ability to follow through on tasks and complete projects on time. * **Effective communication skills** (verbal, written, and visual). * **Desire to excel** in a fast-paced, complex, and ambiguous business environment. * **Experience with SQL and R or Python**. **Nice-to-Haves** * **Solid knowledge of statistical inference** and proven experience in applying statistical rigor to analyses. * **Knowledge of data visualization best practices** and experience with data visualization tools, including Tableau or Power BI. * **Excellent SQL skills** and fluency in R or Python. * **Ability to quickly adapt and learn new tools and skills**. * **Ability to maintain and develop relationships** with partners/clients/team members. * **Graduate degree** and/or 4+ years of relevant experience in analytics or data science. **Why Join blithequark?** As a Performance Analyst at blithequark, you will enjoy: * **Competitive salary** and benefits package. * **Opportunities for career growth and professional development**. * **Collaborative and dynamic work environment**. * **Recognition and rewards for outstanding performance**. * **Access to cutting-edge tools and technologies**. * **Flexible work arrangements**, including remote work options. **How to Apply** If you are a motivated and analytical individual with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter, highlighting your relevant experience and skills. We look forward to hearing from you!
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