Analytics manager Jobs in Lowell, MA

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?

About Analog Devices

Analog Devices, Inc. (NASDAQ :  ) 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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at and on and.

At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.

ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.

At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.

Apply now for the opportunity to grow your career and help innovate ahead of what’s possible.

As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI / ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions.

Key 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.

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.

Skills & Qualifications

Basic knowledge of SQL and relational / non-relational databases.

Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus.

Strong foundation in statistics and predictive modeling; AI / ML exposure preferred.

Interest in ETL processes, scalable data pipelines, and data architecture.

Excellent attention to detail and communication skills

Job Req Type : Internship / CooperativeRequired Travel : NoThe expected wage range for a new hire into this position is $22 to $41.

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