Data Analyst/Technical Product Owner (contract)

Please note that this is a contract role providing services to Hilton through Talent Solutions. If you are selected for this role, you will be employed by Talent Solutions and will not be an employee of Hilton. Contract workers are not employees of Hilton or any of its subsidiaries, nor will they be eligible for Hilton benefits.

***US based remote role with a preference for a candidate near McLean, VA or in ET or CT***

Job Summary:
We are seeking a detail-oriented and analytically driven professional to join our data warehousing team. In this mid-level role, you will play a critical part in supporting data warehousing initiatives, ensuring the reliability and accuracy of data products, and enabling data-driven decision-making across the organization. You will work with a degree of autonomy to manage a broad range of responsibilities, from profiling new data assets and supporting quality assurance processes to providing production support and conducting in-depth data analysis. This is an excellent opportunity for a seasoned data professional who thrives in a collaborative environment and is passionate about maintaining high standards of data integrity and governance.

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:

• 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

Qualifications:

• 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

This role offers a unique opportunity to work at the intersection of data engineering, analytics, and governance within a globally recognized organization. You will gain hands-on experience with enterprise-scale data products and contribute meaningfully to initiatives that drive data reliability and business intelligence across the company. If you are a motivated data professional looking to grow your expertise and make a tangible impact, this position is an outstanding next step in your career.

Pay Rate Range

53 - 60 USD hourly