Join the Disney Team as a Senior Data Optimization Analyst and Unlock Exciting Opportunities in Advanced Analytics!
Are you a data-driven professional with a passion for analytics and optimization? Do you have a knack for working with complex data sets and developing innovative solutions? Look no further! The Advanced Analytics & Optimization (AAO) team at Disney is seeking a highly skilled Senior Data Optimization Analyst to join our remote team. As a Senior Data Optimization Analyst, you will play a critical role in designing, implementing, and maintaining core capabilities and solutions that drive business growth and improvement across the AAO region and other internal CIMA organizations.
About Disney and the Advanced Analytics & Optimization Team
At Disney, we are committed to creating a workplace that is inclusive, diverse, and rewarding for all employees. Our Advanced Analytics & Optimization team is at the forefront of driving business growth and improvement through data-driven insights and solutions. We are a team of passionate professionals who are dedicated to delivering high-quality analytics and optimization solutions that exceed business expectations.
Key Responsibilities
- Data Ingest and Footprint Expansion: Focus on increasing the data ingest footprint to include new data assets and Consumer Products data in line with the MSAO data roadmap.
- Data Quality and Lineage: Build object-level automatic policies to discover and rectify data quality issues, enabling lineage to be tracked and tested from ingest to end-use within a day of ingestion.
- Data Mapping and Handoff: Build end-to-end data mapping for new data tables and coordinate the handoff to the development team for code review and load implementation.
- ETL Process Design and Implementation: Design and implement ETL processes for internal DPEP business data to be used in modeling and reporting.
- Production Support: Assist with the support of production source data ingest, ETL processes, and batch scheduling.
Essential Qualifications
- Professional Experience: Minimum 2 years of professional work experience in a related field.
- Cloud Experience: Experience with developing and deploying in cloud-native environments, ideally AWS cloud and/or Snowflake (1-3 years).
- ETL and Programming Skills: Working experience in ETL utility design, data infrastructure structure disciplines, and languages such as Python, R, JAVA, and SQL.
- Advanced SQL Experience: Advanced SQL experience developing complex queries and tuning (2+ years).
- Programming Skills: Programming experience in Python or R (1-3 years).
- Data Architecture and Science: Demonstrated expertise in Data Architecture, Data Warehousing, Advanced Analytics, or Data Science implementations such as Data Modeling and Data Cataloguing.
- Data Modeling and Cataloguing: Data Modeling experience with ERWin or other enterprise-standard DM tools (2+ years) and Data Cataloguing experience with Informatica Metadata Manager, Alation, or other enterprise-standard cataloguing tools (2+ years).
- Communication Skills: Demonstrated strong written and verbal communication skills, including the ability to summarize and present complex analytics to senior leadership.
Preferred Qualifications
- Professional Experience: 3+ years of professional work experience.
- Media or Analytics Consulting Experience: Prior work experience in a media company or analytics consulting firm.
- Product and Delivery Experience: Demonstrated product and delivery experience across all levels in data management solutions – from data sourcing to end-state delivery/consumption.
- Technology Integration: Proven ability to leverage and integrate technology components into a basic solution structure in support of business requirements.
- Agile Framework: Experience working in a team environment using Agile framework.
- Git and Continuous Integration: Experience with Git, Continuous Integration, and associated tools.
- Unit Testing and Integration Testing: Demonstrated unit testing and integration testing skills.
Education and Benefits
- Bachelor's Degree: Bachelor's degree or equivalent in Statistics, Mathematics, Computer Science, Engineering, or Operations Research.
- Career Development: Opportunities for career growth and professional development.
- Community Involvement: Opportunities for community involvement and volunteer work.
- Commuter Assistance: Commuter assistance programs.
- Exclusive Discounts: Exclusive discounts on Disney products and services.
- Health Insurance: Comprehensive health insurance benefits.
- On-Site Childcare: On-site childcare facilities.
- Paid Time Off: Paid time off and vacation days.
- Retirement Savings Plans: Retirement savings plans.
- Theme Park Admission: Free theme park admission.
- : Tuition assistance programs.
- Weekly Pay: Weekly pay.
- Wellness Programs: Wellness programs and initiatives.
What We Offer
As a Senior Data Optimization Analyst at Disney, you will have the opportunity to work on complex data optimization projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that drive business growth. We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.
How to Apply
If you are a motivated and talented data professional looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role.
Apply Now
Conclusion
As a Senior Data Optimization Analyst at Disney, you will have the opportunity to work on exciting projects, collaborate with talented professionals, and contribute to the development of innovative solutions that drive business growth. We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development. If you are a motivated and talented data professional looking for a new challenge, we encourage you to apply for this exciting opportunity.
Apply Now