Sr. Data & Analytics Engineer

Wells Enterprises; Le Mars (IA); Hybrid; USD 87,000 - 139,000; Full time

Job summary

Wells Enterprises in Le Mars, IA is seeking a skilled data governance lead to coordinate and deliver an enterprise data governance program while supporting analytics and AI adoption with business teams.

You will partner with stakeholders, data owners, analysts, and IT to keep governance materials current, standardize data definitions, and translate business needs into analytics and data modernization requirements.

Hybrid work arrangement in Le Mars with competitive compensation.

Qualifications

• 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.
• Strong working knowledge of relational and reporting database structures, data modeling, data definitions, data quality concepts, business glossaries, metadata, and governance practices.
• Understanding of how data is sourced, transformed, modeled, secured, consumed, and refreshed for BI, reporting, analytics, and AI-enabled use cases.
• Skilled at translating 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 strong follow-through, documentation discipline, and stakeholder responsiveness.
• Ability to facilitate groups, guide constructive decision-making, challenge unclear business rules, identify risks or blockers, and recommend practical paths forward.
• Ability to work with large datasets, reporting logic, data definitions, and analytics outputs while keeping the business user experience in focus.
• Ability to coach others, support adoption, ask thoughtful questions, and help teams use data responsibly and consistently.

Responsibilities

• 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.
• Partner 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 to ensure business and technical teams have consistent, current 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.

Skills

Data analytics

BI

Data governance

Data management

Stakeholder engagement

Communication

Training coordination

Documentation

Education

Bachelor's degree

Tools

Databricks

Tableau

SQL

Python

R

Oracle

Azure

Azure DevOps

Microsoft 365

Job description

This hybrid role in Le Mars, IA coordinates and delivers an enterprise data governance program while supporting analytics and AI adoption with business teams. You will partner with stakeholders, data owners, analysts, and IT to keep governance materials current, standardize data definitions, and convert business needs into analytics and data modernization requirements.

Key Responsibilities

• 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.
• Partner 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 to ensure business and technical teams have consistent, current 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.

Required Education

• Bachelor's degree in information technology, data analytics, business, information systems, engineering, or related field.

Required Experience and Skills

• 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.
• Strong working knowledge of relational and reporting database structures, data modeling, data definitions, data quality concepts, business glossaries, metadata, and governance practices.
• Understanding of how data is sourced, transformed, modeled, secured, consumed, and refreshed for BI, reporting, analytics, and AI-enabled use cases.
• Skilled at translating 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 strong follow-through, documentation discipline, and stakeholder responsiveness.
• Ability to facilitate groups, guide constructive decision-making, challenge unclear business rules, identify risks or blockers, and recommend practical paths forward.
• Ability to work with large datasets, reporting logic, data definitions, and analytics outputs while keeping the business user experience in focus.
• Ability to coach others, support adoption, ask thoughtful questions, and help teams use data responsibly and consistently.

Preferred Qualifications

• Data governance, data management, analytics, or BI certification.
• Hands-on experience with Databricks and BI/reporting tools such as Tableau (or related technologies), plus SQL, relational databases, and data modeling concepts.
• Background in CPG, manufacturing, finance, supply chain, sales, or enterprise operations.
• Familiarity with SQL, Python or R, Oracle or related databases, Azure or cloud data storage, and modern analytics platforms.

Technologies

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

Location and Compensation

Location: Le Mars, IA (hybrid)

Compensation: USD 87,321 - 139,061 per year