Data Quality Engineer

Job Title: Data Quality EngineerDuration: 12+ Months (Possible extension)Location: Arden Hills, MN 55112Onsite RoleResponsibilities:Develops, maintains, and continuously improves post-market surveillance and complaint trending methodologies, tools, and processes to support product quality, patient safety, and regulatory compliance.Performs statistical analyses, signal evaluations, and complaint monitoring activities to identify emerging risks and product performance trendsServes as a technical resource for post-market analytics, statistical process control, visualization development, and risk-based monitoring approaches.Supports the development and maintenance of analytical tools, dashboards, and automated solutions to enhance post-market surveillance effectiveness and efficiency.Performs complaint monitoring, statistical trending, and signal evaluation activities to identify emerging product quality and patient safety concerns.Develops, maintains, and improves complaint monitors aligned with risk management documentation, product hazards, and surveillance requirements.Executes ad hoc data analyses to support Quality, Regulatory, Clinical, Engineering, and business partner requests.Creates, maintains, and validates Power BI dashboards, visualizations, reports, and analytical tools.Applies statistical methodologies and Statistical Process Control (SPC) techniques to evaluate product performance and identify meaningful trends.Investigates data anomalies and develops recommendations to improve data quality, monitoring effectiveness, and signal detection capabilities.Communicates analytical findings to both technical and non-technical audiences through clear visualizations, presentations, and written summaries.Supports audit readiness and compliance with applicable quality system and regulatory requirements.Contributes to the development of innovative analytical approaches, including machine learning techniques, predictive analytics, and advanced statistical methodologies where appropriate.Education/Experience:Bachelor's degree in one of the following: Statistics, Mathematics, Computer Science, Engineering, Data Science, Analytics or related technical field4-7 years of experience in data analytics, statistical analysis, quality engineering, post-market surveillance, or data science.Understanding of Statistical Process Control (SPC) principles and methodologies.Experience performing statistical analyses and interpreting complex datasets.Knowledge of post-market surveillance and risk management principles.Experience supporting complaint trending, signal detection, or safety monitoring activities preferred.Proficiency with Python and/or R.Experience with SQL and relational databases.Experience developing Power BI dashboards and data visualization tools.Knowledge of machine learning methods and practical applications preferred.Experience with process automation and analytical tool development preferred.Familiarity with medical device, pharmaceutical, biotechnology, or other regulated industries preferred.