Senior Analyst - Data Quality

• Preferred Degree: Degree in Computers/Maths/Stats
• Certifications / Special Training Microsoft Certified: Power BI Data Analyst Associate
• Microsoft Certified: Power BI Data Analyst Associate
• Experience Entry-Level (0 to 1 Year) Mid-Level (1 to 3 Years) Senior Level (3 to 6 Years)
• Entry-Level (0 to 1 Year)
• Mid-Level (1 to 3 Years)
• Senior Level (3 to 6 Years)
• Knowledge, Skills & Abilities Minimum of 3 years of hands-on experience in Data Quality or Data Analysis roles Strong proficiency in SQL and experience using data analysis and data profiling tools to assess and validate data Solid understanding of data quality principles, including accuracy, completeness, consistency, timeliness, and integrity Working knowledge of data privacy and security best practices when handling sensitive or regulated data Experience working with enterprise source systems and validating data across multiple platforms Ability to analyze complex datasets, identify data quality issues, and perform root cause analysis Experience working in an Agile delivery environment, including participation in backlog grooming, sprint planning, development cycles, and user acceptance testing Strong communication and collaboration skills to effectively partner with technical teams and business stakeholders Ability to stay current with industry trends, tools, and technologies related to data quality and analytics
• Minimum of 3 years of hands-on experience in Data Quality or Data Analysis roles
• Strong proficiency in SQL and experience using data analysis and data profiling tools to assess and validate data
• Solid understanding of data quality principles, including accuracy, completeness, consistency, timeliness, and integrity
• Working knowledge of data privacy and security best practices when handling sensitive or regulated data
• Experience working with enterprise source systems and validating data across multiple platforms
• Ability to analyze complex datasets, identify data quality issues, and perform root cause analysis
• Experience working in an Agile delivery environment, including participation in backlog grooming, sprint planning, development cycles, and user acceptance testing
• Strong communication and collaboration skills to effectively partner with technical teams and business stakeholders
• Ability to stay current with industry trends, tools, and technologies related to data quality and analytics

At Gallagher, we believe supporting our colleagues goes far beyond the role itself.

For more information, visit our Benefits page .

• Competitive compensation
• Comprehensive benefits programs designed to support your well-being
• Career development opportunities and ongoing learning
• A collaborative, people-first culture with accessible leadership
• The opportunity to do meaningful work with global reach and local impact

At Gallagher, we are dedicated to building an inclusive and authentic workplace.

If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities.

At times, we will consider transferable skills from previous roles.

Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)