Master Data Management Analyst

Salary Confidential Position range in Dallas County $104k - $159k Per Year Master Data Management Analyst Lennox International Inc.

Occupation:

Database Architects

Location:

RICHARDSON, TX - 75080

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment

Posted:

05/08/2026 Positions available: 1

Source:

WorkInTexas

Web Site:

WorkInTexas Onsite /

Remote:

Work onsite all of the time

Updated:

05/11/2026

Expires:

06/08/2026 Job #: 17012165 Job Requirements and Properties Help for Job Requirements and Properties. Work Onsite Full Time Education Master's Degree Experience 24 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Hours 40 Hours Per Week Help for . Master Data Management Analyst needed by Lennox International Inc. in

Richardson, TX:

 Design and deliver data visualization projects using Qlik Sense and other BI tools to provide actionable insights. Develop data preparation solutions utilizing Alteryx and advocate for its platform adoption. Support Qlik platform administration and troubleshooting. Augment dashboards with advanced analytics and assist in big data projects. Design, develop, and optimize ETL (Extract, Transform, Load) workflows using SAP BusinessObjects Data Services (BODS) for data migration, profiling, validation, clean-up, and remediation. Manage business data assets to improve data quality, accessibility, and reusability. Measure and report data quality metrics to data stewards and stakeholders. Provide basic training and support on master data processes to business users. Contribute to Master Data Management (MDM) strategy by defining standards, guidelines, and processes for enterprise master data. Manage master data assets to improve data quality, accessibility, and reusability across systems. Facilitate data governance processes with IT and business stakeholders to ensure compliance and consistency. Address issues related to master data definition, metadata acquisition, and data migration, including profiling, validation, clean-up, and remediation. Measure and report data quality, coverage, and access metrics to data stewards and stakeholders.