Hybrid Senior Analyst, Data Quality Engineering

at The Walt Disney Company

• Job title: Senior Analyst, Data Quality Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: $133,800 - $154,800 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Cognos, Python, SQL, Tableau
• Location requirements: Hybrid, Lake Buena Vista, United States

About the role

• Senior Analyst managing data quality and governance at The Walt Disney Company. Engaging with cross-functional teams to enhance data accuracy and reliability across platforms.

Responsibilities

• Gather data quality requirements from collaborators, seeking to understand the subjective “quality” measures that are important to the data consumers
• Collaborate with Data Engineers, Product Designers, Data Analysts, and business leaders to understand data quality pain points within data workflows and end products/tools
• Design and implement intuitive metrics that show partners the health of their data in an actionable format
• Identify areas of improvement in data quality processes, connecting dots from data input to output, and propose solutions that enhance data accuracy and reliability
• Automate processes, procedures, and workflows to ease data validation processes across complex, interdependent data systems (source systems to data warehouse environments to BI environments)
• Leverage your skills in SQL, Snowflake/AWS, and Python/R to build models that measure and evaluate the quality, consistency, resilience, accuracy, and availability of our data
• Collaborate across teams as a data quality advocate, guiding on the need to balance which data/sources require high accuracy versus directionally accurate data
• Develop and execute manual and automated test cases to ensure reliability of data pipelines, data migration processes and data transformations
• Create and maintain technical documentation of acceptance criteria, test plans, use cases and results
• Conduct initial root cause analysis for data issues, collaborating with partners to clearly identify the issue, scope of the issue, and path for research/solutioning
• Analyze and clearly communicate impacts of data updates, changes, additions/removals to technical and non-technical partners

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems or related field or 7+ years equivalent work experience
• 5+ years of experience in data management, data engineering, data governance, business intelligence or analysis-based environments
• Expertise with SQL and Python or other scripting languages and experience working with Snowflake or similar cloud data warehouse platforms
• Experience with visualization and reporting tools (Tableau, Power BI, Cognos) and agile tools (Jira, Confluence, Git)
• Solid understanding of data warehousing and integration architecture, inclusive of experience working with cloud platforms and data warehouses in large data environments
• Excellent problem-solving skills and ability to troubleshoot complex data issues and investigate systemic defects
• Familiarity and experience working with Data Quality programs, covering data quality processes, statistical methods for assessing data, and defining potential solutions for remediation
• Strong written and oral communication skills that translate across technical and business domains
• Strong collaboration skills and ability to work effectively in a cross-functional, interdependent team environment
• Familiarity with AI and machine learning concepts

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package
• Full range of medical, financial, and/or other benefits