Senior Data Analyst

Overview:

Alliance Laundry Systems is the world leader in commercial laundry equipment, and our Analytics team is building the data infrastructure that powers how our business makes decisions. We are looking for a Senior Data Analyst who can bridge the gap between traditional BI reporting and a modern, AI-forward data stack — someone who is equally comfortable translating a stakeholder’s business question into an actionable insight as they are building the pipeline that makes that insight repeatable.

This role sits at the center of our analytics transformation. You will own reporting and analysis today while actively participating in our migration toward Sigma Computing, Snowflake, and Python-based tooling. A strong understanding of data engineering fundamentals and a curiosity about AI-assisted analytics will set the strongest candidates apart.

Responsibilities:

• Design, develop, and maintain Power BI reports and dashboards that deliver clear, actionable insights to business stakeholders across operations, sales, finance, and product.
• Partner with business leaders to understand data needs and translate them into well-structured, sustainable analytical solutions.
• Participate actively in our migration to Sigma Computing and Snowflake, contributing to the design of semantic layers, data models, and reporting standards on the new platform.
• Write and maintain SQL transformations and dbt models to support reliable, governed data pipelines.
• Leverage AI tools, including Claude / Anthropic AI, to accelerate analysis, automate insight generation, and explore new approaches to data storytelling.
• Collaborate with Data Engineers to ensure report-ready datasets are accurate, performant, and well-documented.
• Proactively identify opportunities to improve data quality, streamline existing reports, and reduce manual analytical work across the organization.

Qualifications:

Education and Experience:  

• Bachelor’ degree in Data Science, Analytics, Computer Science, or a related field preferred.

• 3+ years of experience in a data analyst, BI developer, or similar role with demonstrated ownership of reporting solutions.
• Strong proficiency with Power BI, including data modeling, DAX, and report performance optimization.
• Solid SQL skills with experience querying and transforming data in enterprise environments.
• Familiarity with cloud data warehouse concepts; hands-on Snowflake experience is a strong plus.
• Exposure to dbt, Python (pandas, notebooks), or other modern data transformation tooling is highly desirable.
• Genuine curiosity about AI tools and their application to analytics — you have experimented with LLMs in your workflow, not just heard of them.
• Strong written and verbal communication skills; able to present findings clearly to non-technical audiences.
• Detail-oriented with a high bar for data accuracy and documentation.

Preferred Skills 

• Experience with Sigma Computing or similar cloud-native BI tools.
• Background in data engineering: pipeline development, orchestration (Airflow, dbt Cloud), or API integrations.
• Experience in a manufacturing, industrial, or B2B commercial environment.
• Familiarity with Anthropic Claude, prompt engineering, or AI-powered data workflows.

 

Core Technologies:

• Power BI
• Sigma Computing
• Snowflake
• dbt
• Phython
• SQL
• Claude/Anthropic AI 

 

Travel: 

• Ability to travel domestically as needed, no more than 10% of the time  

 
Standard and Physical Requirements: 

• Position involves sitting 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 perspective.   

• 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: 2026-11784 Pos. Type: Full-Time