Quality Data Analyst

DataJobs; Loveland (CO); On-site; USD 65,000 - 87,000; Full time

Benefits offered by this job

Health and wellness benefits

401(k)

Paid time off

Medical/dental/vision insurance

Bonus Pay (eligible)

Job summary

Hach is seeking a Quality Data Analyst to turn complex data into practical insights that improve product quality and customer satisfaction. The role is onsite in Loveland, CO, and emphasizes building scalable analytics, dashboards, and data-driven decision support across the product lifecycle.

You will collaborate with engineering and operations to identify root causes, develop AI-enabled analytics, and strengthen data governance. A strong foundation in data science and BI tools is required.

Qualifications

• Bachelor’s degree in a quantitative field.
• Experience in data analysis in manufacturing, hardware, or product development.
• Experience using Python/SQL for data prep, workflow automation, and statistical analysis.
• Experience developing dashboards/reports with Power BI/Tableau.
• Ability to translate analytical findings into measurable quality or process improvements.

Responsibilities

• Analyze trends across quality metrics and deliver actionable recommendations.
• Create and maintain dashboards, automated reports, KPI tracking tools, and analytics infrastructure.
• Partner with engineering/operations to identify root causes and support CAPA initiatives.
• Monitor field performance, warranty data, and customer trends to surface risks.
• Develop and validate predictive models and AI-enabled analytics solutions.
• Support root cause analysis with data preparation and visualization.
• Collaborate to establish data governance standards and improve data consistency across systems.

Skills

Data analysis

Quality engineering

Analytical mindset

Education

Bachelor’s degree in Data Science, CS, Statistics, Engineering, or related field

Tools

Python

SQL

Power BI

Tableau

Job description

Hach is hiring a Quality Data Analyst onsite in Loveland, CO. In this role, you will turn complex quality and operational data into practical insights that help improve product quality, reduce defects, and strengthen customer satisfaction across Hach’s global product portfolio. You will also build scalable analytics solutions that support data-driven decisions throughout the product lifecycle.

What you’ll be doing

• Analyze trends across quality metrics for the global product portfolio and deliver actionable recommendations to improve quality, compliance, and customer satisfaction.
• Create and maintain dashboards, automated reports, KPI tracking tools, and analytics infrastructure to increase 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 performance, warranty data, and customer complaint trends to proactively surface emerging risks and improvement opportunities.
• Develop and validate predictive models, classification tools, and AI-enabled analytics solutions to accelerate quality investigations and engineering decision making.
• Support root cause analysis with data preparation, analysis, and visualization of quality and reliability information.
• Collaborate with stakeholders to establish data governance standards and improve quality data consistency across systems.

Required qualifications

• 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 ability to translate analytical findings into measurable quality, operational, or process improvements.

Helpful experience (plus)

• 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.

Technologies

Python, SQL, Power BI, Tableau

Compensation and benefits

Salary: USD 65,000 - 87,000 per year.

• Competitive compensation and benefits
• Professional onboarding and training opportunities
• Career coaching and development programs
• Health and wellness benefits
• 401(k)
• Paid time off
• Medical/dental/vision insurance
• Bonus Pay (eligible)