**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!

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