Senior Product Data Analyst

Why join us?

Our purpose is design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of HermanMiller means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows HermanMiller to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.

Job Summary

The Senior Product Data Analyst plays a critical role in enabling accurate, scalable, and actionable product data that supports business growth, customer experience, and operational efficiency. This role partners closely with the product data team and cross‑functional stakeholders to ensure product data is governed, high‑quality, and optimized for analytics and decision‑making. The ideal candidate brings strong technical expertise and problem-solving skills.

Key Responsibilities

Product Data Set‑Up & Maintenance

Support the management and prioritization of the product data intake funnel. Build and maintain Python scripts that transform and validate product catalogs.

Ensure accurate and timely setup of new products, ongoing maintenance, and product changes across systems. 

Partner with upstream teams to validate requirements and resolve data issues impacting product launches or updates.

Data Governance & Quality

Apply and enforce product data governance standards and definitions.

Monitor data quality and proactively identify issues, partnering with technical teams to implement automated checks, alerts, and controls.

Perform root‑cause analysis on data quality issues and recommend sustainable solutions.

Systems & Process Optimization

Support system implementations, enhancements, and process improvements related to product data management.

Identify opportunities to streamline or automate product data setup and maintenance to improve efficiency and scalability.

Collaborate with engineering and data platform teams on data modeling and integration efforts.

Cross‑Functional Collaboration

Work closely with product management, pricing, engineering, supply chain, and analytics teams to ensure product data aligns with governance standards and business needs.

Act as a subject‑matter expert on product data structures, metrics, and usage.

Analytics & Reporting

Develop and maintain product‑related datasets, dashboards, and reports to support operational and strategic decision‑making.

Support scenario modeling, simulations, and ad‑hoc analyses for new products, pricing strategies, and business initiatives.

Translate complex data into clear, actionable insights for both technical and non‑technical stakeholders.

Mentorship & Team Contribution

Serve as a senior individual contributor, mentoring junior analysts and promoting best practices in data management and analytics.

Contribute to a culture of continuous improvement, learning, and accountability within the product data team.

Qualifications

Required

5+ years of experience in data analytics, data management, product management/operations, or a related field.

Proficiency in writing Python scripts for data transformation, validation, and automation in complex datasets.

Solid understanding of data modeling concepts and ETL processes.

Experience supporting cross‑functional, data‑driven initiatives in a fast‑paced environment.

Excellent analytical, problem‑solving, and communication skills.<