Jobs › Companies › Hach › Quality Data Analyst (onsite in Loveland, CO)

Sobre esta vaga de Quality Data Analyst (onsite in Loveland, CO) na Hach

Hach · Presencial · Loveland, Colorado, United States

Imagine yourself… 

  • Doing meaningful work that makes an everyday impact on the world around you. 
  • Growing your expertise and expanding your skillset with every project. 
  • Collaborating with a vibrant, global team. 

At Hach, a Veralto company, we ensure water quality for people around the world, and every team member plays a vital role in that mission. Our founding vision is to make water analysis better, faster, simpler, greener, and more informative. We accomplish this through teamwork, customer partnerships, passionate experts, and reliable, easy-to-use solutions. 

As part of our team and the broader Veralto network, you'll be part of a unique work environment where purpose meets possibility, where you'll make an immediate, measurable impact on a global scale while helping deliver high-quality products and solutions that support the world's water needs. 

Motivated by the highest possible stakes in climate change and global health, we're working together within a rapidly digitizing industry to develop innovative technologies that safeguard water quality around the world. 

We offer: 

  • Competitive compensation and benefits 
  • Professional onboarding and training opportunities 
  • Career coaching and development programs 
  • Health and wellness benefits 
  • 401(k) 
  • A collaborative and innovative team environment 

Reporting to the Manager, Product Quality Engineering, the Quality Data Analyst is responsible for transforming complex quality and operational data into actionable insights that drive product quality improvements, reduce defects, and enhance customer satisfaction across Hach's global product portfolio. This role serves as a critical partner to engineering, operations, and quality teams by building scalable analytics solutions, identifying emerging quality risks, and supporting data-driven decision making throughout the product lifecycle. 

This position is part of the Quality Organization located in Loveland, Colorado and will be on-site. 


In this role, a typical day will look like: 

  • Analyze trends in quality metrics across the global product portfolio and provide actionable recommendations to improve product quality, compliance, and customer satisfaction. 
  • Create and maintain dashboards, automated reports, KPI tracking tools, and analytics infrastructure that provide visibility into quality performance across global operations. 
  • Partner with engineering and operations teams to identify root causes of recurring quality issues and support corrective and preventive action initiatives. 
  • Monitor field quality performance, warranty data, and customer complaint trends to proactively identify emerging risks and opportunities for improvement. 
  • Develop and validate predictive models, classification tools, and AI-enabled analytics solutions that accelerate quality investigations and engineering decision making. 
  • Support root cause analysis investigations through data preparation, analysis, and visualization of quality and reliability data. 
  • Collaborate with cross-functional stakeholders to establish data governance standards and improve quality data consistency across systems. 

The essential requirements of the job include: 

  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. 
  • Experience in data analysis, quality engineering, or a related analytical role within a manufacturing, hardware, or product development environment. 
  • Experience using Python, SQL, or similar tools for data preparation, workflow automation, and statistical analysis. 
  • Experience developing dashboards and reports using Power BI, Tableau, or similar business intelligence tools. 
  • Proven track record of translating analytical findings into measurable quality, operational, or process improvements. 

It would be a plus if you also possess: 

  • Experience with machine learning, natural language processing (NLP), large language models (LLMs), retrieval-augmented generation (RAG), or related AI-enabled analytical workflows. 
  • Experience with Quality Management Systems (QMS) and standards such as ISO 9001. 
  • Knowledge of Statistical Process Control (SPC), Design of Experiments (DOE), or Six Sigma methodologies. 
  • Familiarity with root cause analysis tools such as 8D, Fishbone/Ishikawa, or FMEA. 
  • Experience working with ERP or PLM systems such as SAP or Oracle. 

Hach is proud to be part of the Water Quality segment of Veralto (NYSE: VLTO), a global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network, you join a culture where purpose meets possibility, where the work you do has an everyday impact on the resources we all rely on and where you'll have opportunities to grow your career while making a difference. 

For Colorado roles only: We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application. 

US ONLY: 

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate’s position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs.

The compensation range for this role is $65,000 - $87,000 USD per year. This job is also eligible for Bonus Pay.

We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. 

US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.  Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

The EEO posters are available here.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.
 

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

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