**Experienced Data Analyst - Remote Part-Time Opportunity in Consumer Insight, Measurement & Analytics at Disney Parks, Experiences and Products**

Are you a detail-oriented and analytical individual with a passion for data-driven insights? Do you want to join a dynamic team that's shaping the future of entertainment and hospitality? Look no further! We're seeking an experienced Data Analyst to join our Consumer Insight, Measurement & Analytics team at Disney Parks, Experiences and Products. As a Data Analyst, you'll play a critical role in helping us make informed business decisions by analyzing complex data sets and providing actionable insights. **About Us** Disney Parks, Experiences and Products is a global leader in the entertainment and hospitality industry, with a rich history of innovation and creativity. Our Consumer Insight, Measurement & Analytics team is at the forefront of this innovation, using data analytics to drive business growth and improve guest experiences. We're a collaborative and dynamic team that's passionate about using data to tell stories and drive business outcomes. **Job Summary** As a Data Analyst, you'll be responsible for analyzing complex data sets, identifying trends and patterns, and providing actionable insights to inform business decisions. You'll work closely with cross-functional teams to develop and implement data-driven solutions, and collaborate with stakeholders to communicate findings and recommendations. This is a part-time remote opportunity, with a flexible schedule that allows you to work from the comfort of your own home. **Key Responsibilities** * Conduct forecasting, ad-hoc modeling, and deep-dive analysis to inform business decisions * Analyze agent performance, proactively identify areas that require further research, and own analyses from start to finish * Build displays and visualizations to inform compelling stories with data * Present and communicate findings, insights, and recommendations to Senior Leadership and stakeholders * Build, maintain, audit, and continuously optimize reports and documents used to support various programs * Manage projects essential to the business operation correctly under strict timelines **Measurement and Analytics** * Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) for behavior analyses and build/preserve reports * Supervise data quality and record accuracy * Collaborate with team, leaders, and business partners to respond to summary business questions with sound quantitative analyses and reproducible results * Apply modern analytic techniques to test hypotheses and extract actionable insights * Stay up-to-date with current data science trends and share expertise and best practices with team members **Required Qualifications & Skills** * 2+ years of quantitative, non-internship experience in forecasting and analytics * Experience with time series forecasting techniques and modeling using machine learning or deep learning techniques * Proficient in Python * Proactive interest to identify the "Why" behind performance, decisions, etc. * Strong interest in details and ability to observe through tasks and complete whole tasks on time * Effective verbal, written, and visual skills * Desire to excel in a fast-paced, and ambiguous business environment **Preferred Qualifications** * Solid expertise in statistical inference and 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 * Graduate degree and/or 4+ years of proven experience in analytics or data science **Education** * Bachelor's degree or equivalent **Compensation & Benefits** The base pay provided will be based on internal fairness and may vary depending on the candidate's geographic region, job-associated knowledge, skills, and experience among other factors. A bonus and/or long-term performance incentive devices may be provided as part of the compensation package, similar to the whole range of medical, financial, and/or other benefits, depending on the scope and role provided. **Our Company is an Equal Opportunity Employer** We value diversity and encourage individuals from all backgrounds to apply. **How to Apply** If you're 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 a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply for this job