Sr. Data & Analytics Engineer - Le Mars, IA or Chicago, IL

Company: Wells Enterprises (a Ferrero Company)

Functional Area: IT

The Role

Coordinate and execute the enterprise data governance program while enabling analytics and AI adoption across business teams. Partner with business stakeholders, data owners, analysts, and Information Technology teams to maintain governance artifacts, standardize data definitions, support data quality and ownership discussions, and translate business needs into actionable analytics and data modernization requirements. Apply strong knowledge of data structures, reporting data sources, BI tools, SQL, and data modeling concepts to support reliable self-service analytics, governance documentation, training, and change management activities.

What You’ll Do

• Manage day-to-day execution of the enterprise data governance program, including governance roadmap maintenance, action item tracking, stewardship meeting preparation, committee coordination, process artifact management, and follow-up on commitments.

• Work directly with business stakeholders to gather requirements, capture concerns, facilitate data ownership and definition discussions, and build cross-functional consensus around data governance and analytics needs.

• Maintain business glossaries, data definitions, governance documentation, data quality guidance, and related process artifacts so business and technical teams have consistent, current, and usable reference materials.

• Support analytics and AI enablement through adoption planning, communication planning, training coordination, user engagement activities, community building, and feedback loops that improve business understanding and self-service adoption.

• Collaborate with data analytics, Information Technology, architecture, and platform teams to support data modernization workstreams, BI source alignment, cloud data platform readiness, report refresh considerations, security awareness, and reliable analytics delivery.

• Mentor junior analysts and business users by reviewing presentations and deliverables, coaching communication and storytelling skills, providing business context, and supporting onboarding into governance, analytics, and AI enablement practices.

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What You’ll Bring

• Bachelor’s degree in information technology, data analytics, business, information systems, engineering, or related field. Data governance, data management, analytics, or BI certification preferred.

• 5-7 years of experience in data analytics, BI, data governance, data management, or related business technology roles. Experience partnering with business stakeholders to gather requirements, define data needs, document processes, improve data quality, and support adoption of analytics or governance practices. Hands-on experience with Databricks, BI/reporting tools such as Tableau[BP1] [RR2]  or related technologies, SQL, relational databases and data modeling concepts is preferred. Background in CPG, manufacturing, finance, supply chain, sales, or enterprise operations is a plus.

• Knowledge - Strong working knowledge of relational and reporting database structures, data modeling, data definitions, data quality concepts, business glossaries, metadata, and governance practices. Understands how data is sourced, transformed, modeled, secured, consumed, and refreshed for BI, reporting, analytics, and AI-enabled use cases. Familiarity with Databricks and BI tools such as Tableau or related technologies is preferred. Familiarity with SQL, Python or R, Oracle or related databases, Azure or cloud data storage, and modern analytics platforms is a plus.

• Skilled in translating business questions into clear data requirements, governance artifacts, definitions, and adoption plans. Strong communication, facilitation, documentation, training coordination, and stakeholder engagement skills. Able to gather datasets, understand reports and dashboards, validate business logic, support data source alignment, and review deliverables for clarity, usability, and business relevance. Able to collaborate and build trust across business partners, Information Technology, analysts, data stewards, and platform teams. Technologies used may include Databricks, Azure DevOps, and Microsoft 365 productivity tools.

• Abilities -Able to thrive in a fast-paced and dynamic environment with limited supervision while maintaining strong follow-through, documentation discipline, and stakeholder responsiveness. Able to facilitate groups, guide constructive decision-making, challenge unclear business rules, identify risks or blockers, and recomme