Senior Quality Data Analytics Lead

11 MasterBrand Cabinets LLC; Miami (FL); On-site; USD 85,000 - 130,000; Full time

Job summary

MasterBrand Cabinets LLC is seeking a Sr. Quality Data Analyst to partner with Quality, Manufacturing and Operations to translate data into strategic insights and drive improvements. You will develop standardized reporting, advanced analytics and predictive models across the enterprise.

Responsibilities include EDA, A/B testing, KPI development, and NLP pipelines using large datasets and AI tools. Travel up to 20% may be required.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 2+ years in data analytics, quantitative analysis, preferably in manufacturing.
• Experience with distributed data processing tools and BI platforms.
• Proficient in visualization tools (Power BI, Tableau).
• Statistical modeling tools: R, Minitab, SAS, Python preferred.
• Travel up to 20% as required.

Responsibilities

• Data Exploration & Insights: analyze trends and translate findings into actionable recommendations.
• Experimentation & A/B Testing: design and analyze tests to measure impact of countermeasures.
• Cross-Functional Collaboration: align with leadership, Operations and Quality to define KPIs and data roadmaps.
• Model Development: build predictive models, recommendation engines, and NLP pipelines using large datasets.
• KPI Workflow management: develop and maintain KPI workflows and data definitions.
• Training: provide cross-department training on data systems and insights.
• Perform other duties as required.

Skills

EDA & insights

A/B testing

KPI development

Predictive modeling

NLP pipelines

Data visualization

SQL & Snowflake

Power BI & Tableau

Python & R

Cross-functional collaboration

Data governance

Education

Bachelor's degree in Statistics/CS/Analytics

Master's degree (a plus)

Tools

Snowflake

Qlik Sense

SQL Server

Job description

MasterBrand Cabinets LLC is seeking a Sr. Quality Data Analyst to partner with Quality, Manufacturing and Operations to translate data into strategic insights and drive improvements. You will develop standardized reporting, advanced analytics and predictive models across the enterprise.

Responsibilities include EDA, A/B testing, KPI development, and NLP pipelines using large datasets and AI tools. Travel up to 20% may be required.