About this role
Requisition ID: 43381 Job DescriptionIn every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy. About the role.The Data Analyst II plays a critical role in strengthening McCain's enterprise data foundation as part of our digital transformation journey. This role is responsible for ensuring data is accurate, trusted, secure, and well-governed across the organization. By leading data quality initiatives, supporting metadata management, and operationalizing governance tools and policies, the Data Analyst II enables business teams to confidently leverage data for operational, reporting, and strategic decision-making. What you'll be doing.Support and maintain enterprise data quality frameworks, ensuring accuracy, completeness, consistency, and timeliness of dataPerform data profiling, cleansing, and monitoring using modern tools, including AI-enabled anomaly detectionInvestigate data quality issues and contribute to root-cause analysis and remediation effortsCollaborate with business and technical teams to define and track data quality KPIs and validation processesDocument business rules, validation logic, and exception handling procedures for critical datasetsMaintain enterprise data catalog and lineage, ensuring alignment with system changes and business needsPartner with data engineers, architects, and stakeholders to capture data flows, transformations, and lineageUtilize governance tools and AI-driven features to improve data classification, tagging, and discoverabilitySupport onboarding and training efforts for data governance tools, including developing user guides and documentationProvide day-to-day support to users, troubleshooting governance tool issues and answering questions What you'll need to be successful.Bachelor's degree in Management Information Systems, Computer Science, Engineering, Mathematics, Information Technology, or related fieldMinimum of 2 years of experience in data governance, data management, data engineering, or a related disciplineStrong understanding of metadata standards, data lineage, and data classification practicesProficiency in SQL and/or Python for data profiling, validation, and analysisExperience collaborating with cross-functional teams, including data owners, stewards, IT, and business stakeholdersExperience working with modern data platforms such as Databricks, Snowflake, or AWSAbility to work independently in a fast-paced environment with minimal supervisionPreferred: Knowledge of CPG data structures, including product hierarchies and regulatory requirementsPreferred: Experience with governance tools such as Ataccama, Syniti, Collibra, MS Purview, Informatica, or AlationPreferred: Exposure to AI governance and responsible AI practices About the team.The role sits within McCain's Global Data Governance team, a group focused on enabling business and technical teams to adopt consistent, high-quality data practices across regions and functions. The team partners closely with data engineering, architecture, analytics, and security teams to drive enterprise-wide data governance standards and solutions. About McCain.Click Here to learn more about McCain and how we provide opportunities to make an impact that matters. Leadership principles.At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results. The McCain experience.We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us