Job Title: Data Analyst Intern
Location: Sudbury, MA
ABOUT METHODS
Methods Machine Tools, Inc. supplies high-quality, high-precision machine tools and automation solutions, and designs integrated custom machining processes and systems. Headquartered in Sudbury, Mass., and in operation since 1958, Methods provides an end-to-end portfolio of best-in-class products, engineering, service, parts, training, and integration.
Methods has more than 300 employees, nine technology centers, one high precision machining center, and has installed in excess of 45,000 machines throughout North America.
We currently have the following career opportunity available reporting into our Sudbury, MA national headquarters. More about this location.
POSITION OVERVIEW
The Data Analyst Intern is responsible for collecting, analyzing, and interpreting data to help the organization make informed business decisions. This entry-level position supports the development of reports, dashboards, and data visualizations while maintaining data accuracy and consistency across systems.
duties & responsibilities
- Gather, clean, and organize data from multiple internal and external sources.
- Perform basic statistical analyses to identify trends, patterns, and insights.
- Build and maintain regular reports and dashboards to track key performance indicators (KPIs).
- Assist in data validation, quality assurance, and database maintenance.
- Collaborate with cross-functional teams to understand reporting needs and deliver actionable insights.
- Document processes, data sources, and methodologies for reporting transparency.
- Support senior analysts or management with ad hoc data requests and projects.
Minimum Education and Experience:
- Pursuing a bachelor’s degree in data Analytics, Statistics, Computer Science, Business, or a related field (or equivalent experience).
- 0–2 years of relevant experience in data analysis, reporting, or business intelligence.
TECHNICAL SKILLS
- Proficiency in Excel and familiarity with data visualization tools (Power BI, Tableau, or similar)
- Basic understanding of SQL for data extraction and manipulation.
- Exposure to Python, R, or other analytics tools is a plus.
TECHNICAL SKILLS
- Strong analytical and problem-solving abilities.?
- High attention to detail and commitment to data accuracy.
- Effective communication skills and the ability to explain technical concepts to non-technical stakeholders.
- Strong organizational and time management skills.
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift up to 20 pounds at times.
Additional Information
This job description is designed to provide an overview of basic skills, experiences and education required to perform the job and is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities required of the employee to perform the essential functions of the job. In instances where educational degrees are required, the company will take into consideration factors such as additional experience, training, or certifications in lieu of specific educational requirements.
Methods Machine is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.