Engineering Business Analyst in Ripon, Wisconsin at Alliance Laundry System LLC

Alliance Laundry System LLC
Engineering Business Analyst

US-WI-Ripon

Job ID: 2026-11981
Type: Full-Time
# of Openings: 1
Category: Product Development
Alliance Laundry Systems

Overview

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.

Responsibilities

Data Systems & Dashboard Development

• 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.

Engineering Process & Systems Optimization

• 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.

Global Deployment & Collaboration

• 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.

Business Partnership & Stakeholder Engagement

• 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.

Qualifications

Education & Experience:

• 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.

Required Skills & Abilities

• 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.

Preferred Skills

• 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.

Travel:

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.

Standard and Physical Requirements:

Position involves sitting for long periods, standing, manual dexterity, stooping, bending and minimal lifting.

Alliance Team Members Demonstrate DRIVE

• Dedicated: Follows through on commitments. Strong say/do.

• Respectful: Acts with integrity and values diverse perspectives.

• Innovative: Always looking for a better way; leads change.

• Versatile: Adapts quickly to changing circumstances. Demonstrates agility.

• Engaged: Acts like an owner. Wants to create and grow a business which is tightly aligned with market needs.