The Hiller Companies, LLC has an immediate opening for a Data Quality Analyst. 

Hiller offers fire protection and life safety products and services that are preserving lives and property all around the world. Headquartered in Mobile, Alabama, Hiller extends its reach globally as well as in domestic markets with offices across the United States. For more than 100 years, we have been laser-focused on one goal – making the world a safer place. We are proud to be on the forefront of technology and innovation by creating adaptable safety solutions. As we continue to grow and expand our life safety footprint, we pledge to keep our customers top of mind while striving to design, install and service the most compliant, reliable systems available.

Job Summary: The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data used across an organization, particularly for analytics and decision-making. This role involves identifying and resolving data inconsistencies, implementing data quality standards, and collaborating with stakeholders to maintain high-quality data governance practices.

 

This position will ideally be located in Phoenix, AZ area, with hybrid work scheduling.  We will consider other remote candidates, with preference given to those who are able to work hybrid in an established Hiller office location.

 

Job Responsibilities:

Support the creation and enhancements of all needed Master Data Assets Conduct continuous improvement of Master Data Asset backend queries and data pipelines Assess and monitor data quality across multiple data sources and reporting systems. Identify data inconsistencies, duplicates, missing values, and errors in structured and unstructured data. Lead the implementation of Hiller’s Data Governance Program, working with stakeholders to define and enforce data validation rules and business standards. Lead data cleansing processes to correct errors and inconsistencies. Conduct periodic data audits to ensure regulatory and business alignment. Work closely with Data Engineers, BI Analyst, and Business Teams to resolve data issues. Investigate root causes of data discrepancies and work on solutions to prevent future issues. Generate reports on data quality trends, issues, and improvements for leadership.