Intern, Data Analyst & BI, Summer 2027

Stanley Black & Decker, Inc.•Towson, MD

3d•$38,600 - $62,200•Onsite

About The Position

Stanley Black & Decker is seeking a Data Analyst Intern for Summer 2027, based onsite in Towson, Maryland. The intern will help develop and implement an enterprise materials database that serves as a central repository for materials-related data, with the goal of improving accessibility, accuracy, and efficiency in materials management. The internship program includes regular events, weekly lunch-and-learn sessions, and customized training from business units. Interns gain exposure to Stanley Black & Decker and opportunities to build cross-functional professional networks. Interns are expected to adapt to change and demonstrate strong interpersonal and communication skills, creativity, confidence, teamwork, and collaboration. The position offers a Maryland base pay range of $22.00–$27.00 per hour. The posting also lists an annual full-time salary range of $38,600–$62,200 and notes that pay may vary based on factors including location, job-related knowledge, skills, qualifications, and experience. The role is not eligible for visa sponsorship.

Requirements

Currently pursuing a master's degree or a recent graduate in Data Science, Business Analytics, Computer Science, Information Systems, or a related field.
Strong analytical and problem-solving skills, with attention to detail.
Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
Excellent communication skills and ability to work collaboratively in a team environment.
Self-motivated, with a strong desire to learn and contribute to a dynamic project.

Nice To Haves

Experience with database management systems such as MySQL or PostgreSQL.
Familiarity with data visualization tools such as Tableau or Power BI.

Responsibilities

Collaborate with cross-functional teams to gather and understand requirements for the materials database.
Assist in designing and developing the database structure to meet the needs of various stakeholders.
Collect, clean, and organize data from multiple sources to populate the database.
Develop data validation and quality assurance processes to ensure data integrity.
Create user-friendly dashboards and reports to facilitate data access and analysis.
Document database processes, structures, and user guidelines.
Provide support and training to team members using the database.
Participate in project meetings and provide updates on progress and challenges.