Description:
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 data
- Perform data profiling, cleansing, and monitoring using modern tools, including AI-enabled anomaly detection
- Investigate data quality issues and contribute to root-cause analysis and remediation efforts
- Collaborate with business and technical teams to define and track data quality KPIs and validation processes
- Document business rules, validation logic, and exception handling procedures for critical datasets
- Maintain enterprise data catalog and lineage, ensuring alignment with system changes and business needs
- Partner with data engineers, architects, and stakeholders to capture data flows, transformations, and lineage
- Utilize governance tools and AI-driven features to improve data classification, tagging, and discoverability
- Support onboarding and training efforts for data governance tools, including developing user guides and documentation
- Provide 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 field
- Minimum of 2 years of experience in data governance, data management, data engineering, or a related discipline
- Strong understanding of metadata standards, data lineage, and data classification practices
- Proficiency in SQL and/or Python for data profiling, validation, and analysis
- Experience collaborating with cross-functional teams, including data owners, stewards, IT, and business stakeholders
- Experience working with modern data platforms such as Databricks, Snowflake, or AWS
- Ability to work independently in a fast-paced environment with minimal supervision
- Preferred: Knowledge of CPG data structures, including product hierarchies and regulatory requirements
- Preferred: Experience with governance tools such as Ataccama, Syniti, Collibra, MS Purview, Informatica, or Alation
- Preferred: Exposure to AI governance and responsible AI practices