Analog Devices
Semiconductor
Biosensors&DeviceAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Biosensors & Device Analytics at Analog Devices. Skills: Data analytics, Device testing, Data systems, Statistical methods. Lead analysis of device, test, and reliability data. Develop repeatable analytical workflows”
Industry & Context.
Root cause analysis
10% travel
What They're Looking For.
Must Have
Degree in Engineering, Computer Science, Data Analytics, or related discipline, 4–8 years’ experience in data analysis roles, Python and SQL skills, Experience analysing test, validation, reliability, or manufacturing data, Ability to structure and analyse complex datasets, Experience using Git for version-controlled workflows, Ability to communicate data insights to technical stakeholders, Documentation and collaboration skills
Nice to Have
Experience with large-scale data systems, Experience analysing high-volume datasets, Exposure to regulated industries, Experience integrating data from multiple sources, Experience applying statistical or ML techniques
What You'll Do.
Lead analysis of device
Develop repeatable analytical workflows
Apply statistical methods
Analyse production and yield data
Implement version-controlled analysis workflows
Work with large datasets
Develop dashboards and visualisations
Define metrics and KPIs
Document analysis methods and outputs
How You'll Work.
Team & Collaboration
Engineering teams
Communication Scope
Communicate data insights
Full Job Description
**About Analog Devices** Analog Devices, Inc. (NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). We are seeking a technically strong **Data Analyst** to work at the intersection of data analytics, device testing, and data systems within our **Healthcare Biosensors** group, focused developing a portfolio of novel biosensing products for a range of medical applications, including point-of-care diagnostics and therapeutics. The role emphasises deep analytical capability applied to real-world device, test, and reliability data, supported by robust data pipelines, version-controlled workflows, and scalable data systems. This is a hands-on data analysis role focused on extracting insight from complex engineering datasets, building reproducible analytical workflows, and enabling data-driven decision-making across development and manufacturing. **Roles & Responsibilities** * Lead analysis of device, test, and reliability data to generate actionable insights. * Develop repeatable analytical workflows using SQL and Python. * Apply statistical methods (trend analysis, variance analysis, anomaly detection) to support decision-making. * Analyse production and yield data to identify trends and root causes. * Implement version-controlled analysis workflows (e.g. GitHub) to ensure reproducibility. * Work with large datasets using app
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