Outdoor Quality Data Analyst: Data-Driven Quality & Insights

Turtlebox Audio LLC; Houston (TX); On-site; USD 85,000 - 110,000; Full time

Job summary

Turtlebox Audio LLC in Houston, TX seeks a Quality Data Analyst to transform quality data into actionable insights. You will analyze warranty returns, customer feedback, product reviews, and factory KPIs to identify trends and root causes.

Collaborating with Quality, Engineering, Operations, Customer Service, and Supply Chain, you will build dashboards, run experiments, and apply predictive modeling to improve customer experience and operational excellence.

Qualifications

• Bachelor’s degree in a related field.
• 3+ years of data analytics experience.
• Strong proficiency in SQL and scripting languages (Python or R).
• Experience with data visualization tools (Power BI or Tableau).
• Solid knowledge of statistical techniques and their business applications.
• Experience in a fulfillment, production, or operations environment.
• Excellent analytical, problem‑solving, and communication skills.

Responsibilities

• Collect, combine, and analyze quality data from multiple sources (warranty, returns, CS tickets, reviews, factory data).
• Review data structures, identify errors, gaps, and document steps for repeatability.
• Build and maintain dashboards for leadership and cross‑functional teams; automate reports.
• Develop predictive models to forecast warranty exposure and process improvements.
• Collaborate with Quality, Engineering, Operations, and Supply Chain to drive CAPA and continuous improvement.

Skills

SQL

Python or R

Statistics

Analytical thinking

Communication

Problem solving

Education

Bachelor’s degree in Statistics/Mathematics/Engineering/CS

Tools

Power BI

Tableau

Job description

Turtlebox Audio LLC in Houston, TX seeks a Quality Data Analyst to transform quality data into actionable insights. You will analyze warranty returns, customer feedback, product reviews, and factory KPIs to identify trends and root causes.

Collaborating with Quality, Engineering, Operations, Customer Service, and Supply Chain, you will build dashboards, run experiments, and apply predictive modeling to improve customer experience and operational excellence.