Data Analysis Engineer (Python/Tableau ON-SITE)

Overview: Seeking a Data Analysis Engineer. The role involves building Tableau dashboards, Python scripting, and working with hardware-generated data. This role will focus on building interactive Tableau dashboards, developing Python scripts, analyzing datasets, and creating clear visualizations to drive insights for engineering teams.Responsibilities: Design, develop, and maintain Tableau dashboards for hardware and operational data reporting.Write and optimize Python scripts for data processing, automation, and analysis.Perform data cleaning, transformation, and statistical analysis to extract insights.Manage and process large datasets, including uploading and parsing CSV files from hardware systems.Build clear and effective data visualizations to communicate trends, anomalies, and key findings to stakeholders.Collaborate with cross-functional engineering teams to understand requirements and deliver actionable insights.AI/ML knowledge where relevant to support predictive analysis and pattern recognition.Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies.Qualifications:Strong experience with Tableau (dashboard design, advanced calculations, performance optimization).Proficiency in Python (data analysis libraries such as Pandas, NumPy, Matplotlib/Seaborn).Solid background in data analysis, statistics, and visualization best practices.Experience with data uploads, ETL workflows, and handling hardware-generated files (CSV, JSON, etc.).Understanding of AI/ML concepts and how to apply them to real-world datasets.Exposure to embedded systems data or hardware-related analytics is a strong plus.Excellent problem-solving, communication, and collaboration skills.Submit resume to jobs@ Location: Cupertino, CA Type: ContractDuration12+ Months (with possible extension)Pay Rate Range: $60-$80/h (DOE)

Created: 2025-10-02