Data Analytics Intern at Analog Devices in Wilmington, MA

Summary: Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds. The Data Analytics Intern will work closely with data engineering and analytics teams to build and maintain data infrastructure while developing predictive models for operational insights. Responsibilities: - Assist in designing and developing ETL pipelines for data extraction, transformation, and loading - Work with data warehousing solutions such as Redshift or Snowflake - Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques - Write and modify scripts in Python or R for data manipulation and analysis - Collaborate with cross-functional teams to understand data infrastructure needs and best practices - Ensure data integrity, accuracy, and consistency across all processes Required Qualifications: - Assist in designing and developing ETL pipelines for data extraction, transformation, and loading - Work with data warehousing solutions such as Redshift or Snowflake - Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques - Write and modify scripts in Python or R for data manipulation and analysis - Collaborate with cross-functional teams to understand data infrastructure needs and best practices - Ensure data integrity, accuracy, and consistency across all processes - Basic knowledge of SQL and relational/non-relational databases - Familiarity with scripting languages (Python or R) - Strong foundation in statistics and predictive modeling - Interest in ETL processes, scalable data pipelines, and data architecture - Excellent attention to detail and communication skills Preferred Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field - Proven academic or project experience in data analysis and modeling - Exposure to JavaScript, Apache Spark, and MongoDB is a plus - AI/ML exposure preferred Required Skills: Data pipeline development, Predictive modeling, SQL Important Skills: Python, Statistics, ETL processes Nice-to-Have Skills: R, Data analysis, Communication skills, Attention to detail