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