MKS Inc. is seeking a Data & Analytics Intern to support its Data & Analytics team across data engineering, reporting, data analytics, and machine learning initiatives. The intern will develop dashboards, analyze and prepare data, collaborate with cross-functional stakeholders, and maintain reporting documentation.
Responsibilities
Data Visualization & Reporting: Assist in designing, developing, and maintaining interactive dashboards and reports using tools like SAP Business Objects, Power BI
Data Exploration & Analysis: Perform exploratory data analysis (EDA) to identify trends, anomalies, and key performance patterns that help solve business problems
Data Cleaning & Preparation: Support data engineering efforts by cleaning, transforming, and validating raw data datasets using SQL or Python/R
Stakeholder Collaboration: Partner with cross-functional teams (Marketing, Finance, Product, Operations) to gather requirements and translate business questions into data requirements
Documentation: Maintain and update data dictionaries, documentation for internal metrics, and standard operating procedures for reporting
Qualification
Required
Currently pursuing or recently graduated with a Bachelor's or Master's degree in Data Analytics, Computer Science, Information Systems, or a related quantitative field
Strong foundational knowledge of SQL (joining tables, writing queries)
Familiarity with programming languages like Python or R for data manipulation (pandas, numpy)
Basic experience with BI tools (Power BI, Tableau, or similar)
Proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables)
Strong problem-solving abilities and a highly analytical mindset
Excellent written and verbal communication skills to present complex data findings simply
Ability to work both independently and collaboratively within a fast-paced team
High attention to detail and data integrity
Preferred
Benefits
For interns/co-ops working at least 20 hours per week: 11 paid holidays, sick time, and 15 paid vacation days accrued on a biweekly basis.
MKS enables technologies that transform our world.
