Employment Requirements
This opportunity is not open to C2C relationships or visa sponsorship.

This opportunity is for local candidates only.

Job Description
The Data Quality Analyst is responsible for evaluating, profiling, and improving the quality of data across key business systems, partnering with business stakeholders and subject matter experts to identify and resolve data quality issues. This role supports the organization's data governance and data quality initiatives, leveraging tools such as Collibra to monitor, measure, and enhance data quality standards.

Qualifications

• Proficiency in SQL – reading and writing/developing in multiple SQL languages
• Experience utilizing Data Management principles, including data profiling, data cleansing, and data transformation
• Excellent problem-solving skills and attention to detail
• Ability to communicate and work with the business, including subject matter experts at various levels within the organization
• Excellent time management ability, including managing project timelines and schedules, and the ability to prioritize work efforts
• Must be a self-starter
• Ability to work in a collaborative team environment with individual work responsibilities, and to communicate with team members and provide status updates on work efforts
• Business Analyst experience – working with the business to understand their needs and requirements related to data quality issues
• Data Management experience working on projects to implement and/or enable the business with best practices, data literacy capabilities, and experience with data catalogs and data quality tools/applications
• Ability to manage work efforts and plan out the work needed for projects

Preferred Qualifications

• Foundational understanding and experience in Enterprise data quality approaches and implementation
• Experience conducting Data Quality improvement projects, preferably utilizing the Ten Steps to Quality Data
• Experience with Collibra Data Quality & Observability and Data Catalog/DIP
• Experience in an agile environment with daily standups and a kanban/storyboard approach to work efforts
• Information Governance/Data Management experience – mid-level
• Experience with Data Modeling – creating conceptual and logical models a plus
• Experience using Erwin data modeling application a plus