Alliance Laundry Systems→
Engineering Business Analyst at Alliance Laundry Systems in Ripon, WI
Skills
Job Description
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.
EEO
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
ID
2026-11981
Pos. Type
Full-Time