Senior Engineer, Business Intelligence

Job Location s: US-AR-Bentonville

Requisition :

# of Openings: 1

Category (Portal Searching):
Information Technology

Walton Enterprises is seeking a skilled, highly motivated and entrepreneurial individual to join the team as a Senior Engineer, Business Intelligence. The ideal teammate will have the demonstrated ability to transform complex enterprise data into actionable insights through advanced SQL, data modeling, and business intelligence solutions while collaborating with stakeholders to support informed decision-­making.

The Senior Engineer, Business Intelligence builds and maintains the analytics and visualization layer used by Walton Enterprises teams to support data-informed decisions. This position transforms raw enterprise data into governed metrics, curated data models, production dashboards, and reusable self-service reporting tools. The role partners with business stakeholders, software engineering, and infrastructure teams to ensure analytics are accurate, secure, actionable, and aligned with business needs.

In this role, you will develop and maintain business intelligence solutions that make enterprise data accessible, reliable, and actionable. You will partner with stakeholders to understand business needs, design reporting solutions, establish consistent data definitions, and support self-service analytics across the organization.

• Write, optimize, and maintain advanced SQL queries against the enterprise data warehouse to source, join, and validate data for analysis.
• Design and maintain curated data models, views, and a governed semantic layer that makes enterprise data reusable and ready for self-service reporting.
• Build and maintain production dashboards and data visualizations, from requirements gathering through implementation and user adoption.
• Establish and document shared metric definitions, data dictionaries, and reporting standards to promote consistency across teams.
• Partner with stakeholders to frame business questions and translate analysis into clear recommendations and actions.
• Develop data-quality checks and monitoring within reporting solutions; investigate discrepancies and work with business and engineering partners to resolve root causes.
• Use AI-assisted tools to accelerate analysis and documentation while validating AI-generated output before it is shared with stakeholders.
• Train and support business users in self-service reporting to increase adoption and reduce recurring ad hoc reporting requests.
• Collaborate with software engineering and infrastructure teams regarding data availability, access controls, and upstream data-pipeline requirements.
• Perform other duties as needed to support the Data Strategy and Insights team.

Skills needed

• Advanced SQL and hands-on experience working with data warehouses
• Data visualization, dashboard design, and data storytelling
• Data modeling and semantic-layer design for self-service analytics
• Business acumen and the ability to translate ambiguous business questions into structured, analyzable problems
• Strong communication and collaboration skills with technical and nontechnical audiences
• Data quality, documentation, and data-stewardship discipline

Qualifications required for success

• Bachelor's degree in analytics, statistics, computer science, information systems, business, or a related field, or equivalent professional experience
• Five to seven years of experience in data analysis, business intelligence, analytics engineering, or a related field
• Demonstrated proficiency in SQL, including performance tuning of complex queries against large datasets
• Experience with other programming languages, such as Python, or advanced statistical-analysis software preferred
• Hands-on experience with Google Big Query or a comparable cloud-based data warehouse
• Proven experience building and maintaining production dashboards using Looker, Looker Studio, Power BI, or comparable visualization tools
• Demonstrated examples of data visualizations or analyses that influenced how a team operated or what a stakeholder decided
• Experience defining and governing shared metrics across multiple stakeholder groups
• Experience working with accounting, investment, philanthropic, or family-office data preferred

Personal attributes that support success

• Demonstrates discretion, integrity, and expertise while serving as a trusted advisor to principals and colleagues.
• Collaborates respectfully and…