Data Analyst – Quality & Customer Satisfaction

1 month ago
Full-time
Mid Level
Data Science and Analytics
ALTEN Technology

ALTEN Technology

ALTEN Technology is an engineering services company and consulting firm in the USA, providing tailored engineering solutions across various industries such as aerospace, medtech, robotics, automotive, and more. With a team of over 600 professionals, we...

Construction & Engineering
251-1K
Founded 1988

Description

  • Analyze data using fundamental and advanced statistical techniques to support quality improvement initiatives.
  • Identify emerging product quality issues and contribute to early detection, forecasting, and predictive insights.
  • Structure, model, and interpret data to support problem-solving and business decision-making.
  • Work with multiple data sources, including warranty data, vehicle data, customer feedback, and manufacturing data.
  • Partner with product quality leaders to provide insights and recommendations that improve product performance and uptime.
  • Develop and implement analytical methodologies to enhance quality tracking and reporting.
  • Collaborate with cross-functional teams including data analysts, data engineers, data architects, and data scientists.
  • Support the implementation and deployment of advanced analytics solutions.
  • Contribute to continuous improvement efforts by identifying opportunities to optimize data processes and tools.
  • Communicate findings through clear data storytelling to ensure the voice of the customer is represented.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field; Master’s preferred.
  • Experience working in a technical or manufacturing-focused quality environment.
  • Strong proficiency in Power BI for data visualization and reporting.
  • Hands-on experience with SQL, Python, R, Azure Analytics, Jupyter Notebook, or Apache Spark.
  • Knowledge of machine learning techniques, including classification, regression, clustering, and anomaly detection.
  • Proven ability to solve complex problems using data-driven approaches.
  • Strong understanding of data modeling, data structuring, and analytics methodologies.
  • Experience working with large, complex datasets from multiple sources.
  • Excellent written and verbal communication skills with the ability to present insights clearly.
  • Ability to collaborate effectively with cross-functional teams.
  • Self-driven with a proactive mindset and a strong desire to learn new technologies and techniques.

Benefits

  • Salary range of $90,000 to $100,000.
  • Comprehensive benefits package.
  • Mentorship and career growth opportunities.
  • Opportunity to work on challenging engineering projects across aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and related industries.
  • Equal opportunity employment consideration for all qualified applicants.
  • Drug-free workplace with pre-employment drug screening required for selected candidates.

Interested in this position?

Apply directly on the company website

Apply Now

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