Sr. Data & Analytics Engineer

Wells Enterprises is seeking a Sr. Data & Analytics Engineer to help coordinate and deliver an enterprise data governance program while supporting analytics and AI adoption across business teams. In this hybrid role in Le Mars, IA, you will partner with stakeholders, data owners, analysts, and IT to keep governance materials current, align on data definitions, and translate business needs into analytics and data modernization requirements.

Role overview

• Coordinate day-to-day execution of the enterprise data governance program, including roadmap maintenance, action item tracking, stewardship meeting preparation, committee coordination, process artifact management, and commitment follow-up.
• Work with business stakeholders to gather requirements, capture concerns, facilitate discussions on data ownership and definitions, and build cross-functional consensus for governance and analytics needs.
• Maintain business glossaries, data definitions, governance documentation, data quality guidance, and related process artifacts to support consistent, usable references for business and technical teams.
• Enable analytics and AI adoption through adoption planning, communication planning, training coordination, user engagement activities, community building, and feedback loops that improve business understanding and self-service uptake.
• 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.

What you’ll bring

• Bachelor’s degree in information technology, data analytics, business, information systems, engineering, or a related field.
• Certification preference: data governance, data management, analytics, or BI certification.
• Experience: 5-7 years 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.
• Preferred technical experience: hands-on Databricks; BI/reporting tools such as Tableau or related technologies; SQL; and relational databases with data modeling concepts.
• Plus: background in CPG, manufacturing, finance, supply chain, sales, or enterprise operations.
• Strong knowledge of relational and reporting database structures, data modeling, data definitions, data quality concepts, business glossaries, metadata, and governance practices, including how data is sourced, transformed, modeled, secured, consumed, and refreshed for BI, reporting, analytics, and AI-enabled use cases.
• Additional plus: familiarity with SQL, Python or R, Oracle or related databases, Azure, or cloud data storage and modern analytics platforms.
• Ability to translate business questions into clear data requirements, governance artifacts, definitions, and adoption plans.
• Strong communication, facilitation, documentation, training coordination, and stakeholder engagement skills.
• Ability to gather datasets, understand reports and dashboards, validate business logic, support data source alignment, and review deliverables for clarity, usability, and business relevance.
• Ability to collaborate and build trust across business partners, Information Technology, analysts, data stewards, and platform teams.
• Ability to thrive in a fast-paced environment with limited supervision while maintaining follow-through, documentation discipline, and stakeholder responsiveness.
• Ability to facilitate groups, guide decision-making, challenge unclear business rules, identify risks or blockers, and recommend practical paths forward.
• Comfort working with large datasets, reporting logic, data definitions, and analytics outputs while keeping the business user experience in focus.
• Ability to coach others and support responsible, consistent use of data.

Technologies

• Databricks
• Tableau
• SQL
• Python
• R
• Oracle
• Azure
• Azure DevOps
• Microsoft 365

Location and compensation

• Location: Le Mars, IA (hybrid)
• Salary range: USD 87,321 - 139,061 per year
• Minimum experience: 5 years