Data Analysis Engineer (Python/Tableau)

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.

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Location: Cupertino, CA

Type: Contract

Duration: 12+ Months (with possible extension)

Pay Rate Range: $60-$80/h (DOE)