Senior Data Solutions & Analytics Lead for Workforce Planning

The Walt Disney Company; Burbank (CA); On-site; USD 1,153,000 - 1,154,000; Full time

Benefits offered by this job

Bonus

Long-term incentive units

Job summary

The Walt Disney Company in Burbank, CA seeks a Senior Analyst for Data Solutions & Analytics to own end-to-end development of Workforce Planning tools and models. You will work with stakeholders and build statistical components to support planning decisions.

Responsibilities include building secure, user-friendly tools, ensuring data quality, crafting data structures with Python/SQL, and conducting UAT with timely bug fixes. Strong communication and analytical storytelling are essential.

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years of strategic analytics translating data into tools/insights.
• 2+ years in statistical methods, forecasting, and model building.
• Proficiency in Python and SQL.
• Ability to distill data into actionable narratives for stakeholders.

Responsibilities

• Build front-facing, user-friendly tools with a focus on UX and scalability.
• Maintain data quality and standardization across tools and platforms.
• Develop standardized data structures from the data warehouse using Python and SQL.
• Conduct user acceptance testing and address bugs quickly.
• Ensure timely delivery per ticketing timelines for bugs and enhancements.
• Generate audits to identify discrepancies in Workforce data.
• Create statistical algorithms and ML processes to support tools.
• Identify analytical opportunities to drive business actions.

Skills

Python

SQL

Data storytelling

Stakeholder communication

Statistical methods

Forecasting

Machine learning

Education

Bachelor's degree in Analytics/Data Science/Statistics/Economics/Math

Tools

Airtable

Tableau

SAS VA

Power BI

Streamlit

Job description

The Walt Disney Company in Burbank, CA seeks a Senior Analyst for Data Solutions & Analytics to own end-to-end development of Workforce Planning tools and models. You will work with stakeholders and build statistical components to support planning decisions.

Responsibilities include building secure, user-friendly tools, ensuring data quality, crafting data structures with Python/SQL, and conducting UAT with timely bug fixes. Strong communication and analytical storytelling are essential.