Note: The job is a remote job and is open to candidates in USA. Hilton is seeking a detail-oriented and analytically driven professional to join their data warehousing team. In this mid-level role, you will support data warehousing initiatives, ensuring the reliability and accuracy of data products while enabling data-driven decision-making across the organization.
Responsibilities
- Support data warehousing initiatives and monitor data products to ensure the reliability and accuracy of information loaded into databases
- Analyze Source to Target mappings and ensure they are in accordance with established standards and are kept up-to-date
- Query tables, analyze data, and prepare reports to support business objectives
- Profile new data assets and document results to facilitate the development of new data ingestions
- Support the QA process during the development of new data products or enhancements to existing data products
- Provide production support for incident tickets and user questions related to data products
- Conduct in-depth data analysis to understand trends and data behavior, and effectively communicate or document findings for internal teams
- Catalog data assets and apply classification labels in accordance with the company's PII classification standards
- Support data health initiatives by applying knowledge of Data Quality fundamentals and documenting data quality processes
Skills
- 5 + years of relevant experience in data warehousing, data analysis, or a related discipline
- Experience supporting QA processes for data products or data pipelines
- Experience providing production support, including responding to incident tickets and end-user inquiries
- Demonstrated experience conducting data analysis and documenting results for internal stakeholders
- Strong analytical and problem-solving skills with the ability to interpret complex data sets
- Proficiency in querying databases and working with large volumes of structured data
- Solid understanding of data warehousing concepts and best practices
- Experience with Source to Target mapping analysis and documentation
- Knowledge of Data Quality principles and data health monitoring practices
- Understanding of PII classification standards and data governance frameworks
- Strong written and verbal communication skills with the ability to present findings to technical and non-technical audiences
- Ability to prioritize work effectively and exercise sound judgment in moderately complex situations
- Demonstrated ability to work independently with general supervision while managing multiple tasks and projects
- Experience with programming languages (Python) preferred
- Experience using AI tools preferred
- Experience translating business requirements for data questions and data capabilities
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