Data Analyst Intern

Acutec is looking for a Data Analyst Intern (Summer, 2026) to report to the Demand Planner in support of the Sales Department by collecting, cleaning, and analyzing data from various sources, creating visualizations (dashboards, charts) to find trends, and helping prepare reports that inform business decisions, using tools like SQL, Excel, Python, and R Studio. 

Key responsibilities include data preparation, statistical analysis, insight communication, and cross-functional analytical support.

• Gather, clean, and organize raw data from databases and other source systems
• Perform statistical analyses, identify patterns, build basic analytical models, and write SQL queries
• Develop dashboards, charts, and recurring or ad hoc reports for business stakeholders
• Partner with cross-functional teams (Operations, Finance, Supply Chain, Sales) to understand data needs and deliver actionable insights
• Support the Demand Planner in preparing materials for the monthly SIOP (Sales, Inventory, Operations, and Planning) meeting
• Assist Sales team members with analytical requests as needed
• Attend planning meetings; document discussion points, action items, and decisions, and distribute summaries as appropriate
• Support ad hoc analyses that inform both operational execution and strategic decision-making
• Conduct independent industry and market research, reporting on trends, potential disruptions, and growth opportunities

• Strong analytical thinking and problem-solving, with the ability to simplify and clearly communicate complex concepts 
• High attention to detail and data accuracy
• Experience with at least one programming language (Python or R preferred)
• Ability to perform effectively in a fast-paced, dynamic work environment

Preferred Qualifications:

• Experience with data visualization tools (e.g., Power BI, Tableau, or similar)
• Basic understanding of statistics, forecasting, or analytical modeling concepts
• Prior internship, project, or coursework experience involving real-world datasets
• Interest in business operations, demand planning, and/or sales
• Exposure to pandas, NumPy, or similar data analysis libraries