Supplier Quality Engineer leading Preventive Quality projects and ensuring compliance with AS9145 standards at Boeing. Collaborating with suppliers and internal teams to optimize product deliverables.
TC
Hybrid Senior Analyst, Data Quality Engineering
Posted 5 months ago
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
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