DATA QUALITY ANALYST

DATA QUALITY ANALYST

WINNIPEG, MB

• Competitive salary and benefits package.
• Defined-benefit pension plan.
• Nine-day work cycle which normally results in every other Monday off, providing for a balanced approach to work, family life and community.
• Flex-time and partially remote work schedule (providing the option to work remotely 3 days per 2 week period), depending on nature of work, operational requirements and work location.

• Act as a champion for data quality and governance by advocating for and promoting best practices in data management and data governance across the organization.
• Perform and support data profiling and quality analysis to examine the structure, content, and data quality of existing and incoming data.
• Collaborate with data owners and stewards, IT teams, and business units to define data quality, identify and resolve data quality issues, and establish guidelines for key data dimensions.
• Develop and maintain data quality metrics, validation rules, and monitoring processes to ensure accuracy, completeness, consistency, and reliability.
• Work with data stewardship team, data producers and data engineers to cleanse and transform data to rectify inconsistencies and inaccuracies.
• Collaborate with business stakeholders to identify and remediate data quality issues by analyzing and improving underlying business processes.
• Create and maintain documentation on data quality rules, validation processes and issues resolution procedures for reuse.
• Assist in the development and maintenance of enterprise level data quality reporting solutions.
• Communicate data quality status and issues to stakeholders and management.
• Leverage data governance tools and platforms to support data quality, metadata management, and data stewardship workflows.
• Support the development, implementation, and continuous improvement of data governance frameworks, strategies, policies, and procedures to align with organizational goals.
• Support metadata management initiatives by contributing to metadata standards.
• Deliver training and guidance to data producers and stewardship teams on data quality principles, data governance practices, and effective data management. 

• A four-year bachelor's degree in Information Technology, Computer Science, Data Management, or a related field from a university of recognized standing with a minimum of three years data governance, data management or analytics-related experience
  OR 
• A two-year diploma in a relevant discipline from an institute of recognized standing with a minimum of five years data governance, data management or analytics related experience
• Strong understanding of data management principles, data governance frameworks and data quality best practices.
• Experience with data quality profiling and assessment tools and methodologies.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Experience with SQL and writing queries to extract data for profiling.
• Experience working in Agile environments and with product management frameworks.
• Ability to work effectively with cross-functional teams and stakeholders.
• Knowledge of relevant data protection regulations and compliance requirements.
• Certification in data quality or data governance (e.g., CDMP, DGSP) is a plus.
• Strong problem-solving ability with a focus on managing business outcomes through collaboration with multiple internal and external parties.
• Demonstrated ability to work effectively in team environments and to lead cross functional teams
• Excellent verbal and written communication skills, able to convey complex ideas with ease
• Must have strong interpersonal and organizational skills
• Demonstrable knowledge and application of the DAMA International Body of Knowledge is an asset