Staff Analytics Engineer

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

          

Responsibilities: 

• Proactively identify and address challenges in semiconductor manufacturing and data automation using strong problem-solving and critical thinking skills. 

• Deliver customer-focused, impactful data solutions by leveraging sound judgment, creativity, and collaboration with cross-functional teams, including data analysts, product managers, data scientists, and engineers. 

• Gather and translate business and functional requirements into scalable, robust solutions aligned with Data Architecture guidelines for manufacturing and test environments. 

• Design, develop, and optimize data pipelines and products to process critical manufacturing data, leveraging scripting and programming skills to efficiently parse, extract, and transform diverse formats such as STDF files, wafer metrology data, wafer sort results, final test data, tool logs, MES data, FDC data, KLARF files, and visual inspection images, ensuring seamless integration into data pipelines. 

• Enhance data quality and completeness by partnering with source owners across MES, SPC, and test systems, ensuring consistent integration and accessibility of data from front-end fabs and back-end assembly/test sites. 

• Conduct root cause analysis on data delivery and quality issues, ensuring adherence to SLA requirements and maintaining high data reliability. 

• Build expertise in key strategic data sources, data lineage, and manufacturing automation systems, including MES platforms like Camstar/OpCenter and PROMIS, SPC tools, and advanced analytics platforms. 

• Drive automation and optimization of manufacturing processes, including wafer sort, wafer metrology, and final test operations, leveraging advanced analytics and data engineering best practices. 

• Standardize and streamline data flows from tool logs, wafer tracking systems, and test equipment for accurate reporting and analysis. 

• Facilitate the integration of manufacturing and test data into cloud-based modern data platforms, leveraging tools such as Snowflake, Azure Data Lake, DBT, and Airflow to enable scalable storage, processing, and analytics while ensuring alignment with enterprise data architecture and governance standards. 

Qualifications: 

• 10+ years of experience in Data Engineering, Data Science or Data Analytics roles. 

• Experience in semiconductor industry highly preferred. 

• Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.  

• Experience with data modeling, ELT processes, medallion architecture, open file formats and data integration techniques. 

• Proficiency in SQL and Python. 

• Experience with big data technologies (Spark, Hadoop, etc.), containerization (Kubernetes), and cloud technologies like Snowflake, Azure, DBT, Airflow/Dagster, etc. 

• Experience with cloud-based data pipeline observability tools such as Splunk Observability Cloud, Grafana Cloud, Datadog Observability Platform, etc. 

• Strong knowledge of statistical methods and techniques and how to apply them to identify anomalies and root causes for anomalies.  

• Experience building guided analysis flows utilizing advanced analytic techniques.  

• Strong proficiency in analytics & visualization tools such as Spotfire, Exensio, Klarity ACE,  DataAiku, Alteryx, PowerBI, Tableau. 

• Experience delivering solutions based on pandas, Seaborn, Matplotlib, Scikit-learn. 

• Experience delivering solutions leveraging Pytorch, MLFlow. 

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $149,500 to $205,563.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.