Engineering Business Analyst

Alliance Laundry System • Ripon, WI

1d • Hybrid

About The Position

Alliance Laundry Systems is the world leader in commercial laundry equipment. Our Engineering organization spans three global sites - Ripon (WI), Pribor (Czech Republic), and Chonburi (Thailand) - and we are building the data and systems infrastructure needed to drive operational excellence at scale. We are looking for an Engineering Business Analyst who can build a data and reporting ecosystem from the ground up. This person will design and deliver dashboards that provide clear, actionable insights to Engineering leadership and cross-functional partners, while also deploying standardized systems and processes across all three global sites. This is a high-impact, foundational role where we need someone who comes in ready to assess what exists, architect what’s needed, and execute.

Requirements

• Bachelor’s degree in Business, Engineering, Data Science, Information Systems, or a related field required.
• 3+ years of experience in business analysis, data analytics, BI development, or engineering operations—with demonstrated ownership of building reporting solutions or systems from scratch.
• Proven track record of working across multiple sites, regions, or business units; international experience strongly preferred.
• Strong proficiency with Power BI, including data modeling and report performance optimization.
• Solid SQL skills with experience querying and transforming data in enterprise environments.
• Demonstrated ability to build data infrastructure or reporting ecosystems, not just maintain existing ones.
• Strong analytical and problem-solving aptitude with a high bar for data accuracy and documentation.
• Excellent written and verbal communication skills; able to present findings clearly to both technical and non-technical audiences.
• Ability to work independently and drive projects forward with minimal oversight.
• Comfortable operating across time zones with global teams; experience working with international colleagues is essential.

Nice To Haves

• Familiarity with cloud data warehouse concepts; hands-on Snowflake experience is a strong plus.
• Background in data engineering: pipeline development, orchestration (Airflow, dbt Cloud), or API integrations.
• Experience with Monday.com, workflow management tools, or similar platforms.
• Genuine curiosity about AI tools and their application to analytics, having experimented with LLMs in workflow, extending beyond awareness or theory.
• Familiarity with Anthropic Claude, prompt engineering, or AI-powered data workflows.
• Experience in a manufacturing, industrial, or B2B commercial environment.

Responsibilities

• Design, build, and maintain a reporting and analytics framework for Engineering from the ground up defining metrics, data models, and visualization standards.
• Develop and maintain Power BI dashboards that deliver clear, actionable insights and KPI trackers to Engineering leadership across operations, product development, product management, compliance, and project management.
• Write and maintain SQL queries and data transformations to support reliable, governed data pipelines feeding engineering reports.
• Participate in the company’s broader migration toward Sigma Computing and Snowflake, contributing engineering-specific reporting requirements and data models to the new platform.
• Work across lines and partner with, and align systems with, other teams such as digital and finance.
• Proactively identify opportunities to improve data quality, streamline existing reports, and reduce manual analytical work across the Engineering organization.
• Leverage AI tools, including Claude / Anthropic AI, to accelerate analysis, automate insight generation, and explore new approaches to data storytelling.
• Analyze engineering workflows end-to-end to identify opportunities for efficiency, standardization, and automation across all three sites.
• Build/maintain engineering processes including resource management, capacity tracking, and project pipeline visibility.
• Develop working knowledge of core engineering systems (Monday.com, SharePoint, and other platforms) and serve as a go-to resource for end users.
• Support evaluation and implementation of new tools and platforms in partnership with IT and Engineering leadership.
• Document system configurations, processes, and user guides to ensure sustainability and scalability.
• Deploy standardized dashboards, reporting processes, and system configurations to international Engineering teams in Pribor (Czech Republic) and Chonburi (Thailand).
• Coordinate with cross-functional and cross-regional teams to ensure consistent data definitions, workflows, and tooling across all sites.
• Adapt solutions for regional needs while maintaining global reporting standards and data integrity.
• Support change management and develop training materials to drive adoption of new systems and processes at each site.
• Build strong stakeholder relationships across geographies and time zones, demonstrating cultural awareness and communication adaptability.
• Partner with Engineering leaders to deeply understand operational needs and translate them into well-structured, sustainable analytical and system solutions.
• Prepare and deliver solution proposals, including scope, timeline, and expected business impact.
• Communicate system and process changes clearly to impacted engineering teams, ensuring alignment and adoption.
• Collaborate with Data Engineers and IT to ensure engineering datasets are accurate, performant, and well-documented.

Benefits

• Ability to travel domestically and internationally as needed, up to an estimated 10% of the time, including periodic trips to Pribor (Czech Republic) and Chonburi (Thailand) to support system deployment and training.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level