Data Analyst II, Data AI Analytics

''•Florenceville-Bristol, NB

2d•CA$52,600 - CA$70,200•Onsite

About The Position

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.

Requirements

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

Nice To Haves

Knowledge of CPG data structures, including product hierarchies and regulatory requirements
Experience with governance tools such as Ataccama, Syniti, Collibra, MS Purview, Informatica, or Alation
Exposure to AI governance and responsible AI practices

Responsibilities

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