M
MSD
Data Analyst

2027 Future Talent Program - Business Intelligence - Intern

On-siteJuniorData Analystposted 1mo ago
✦Role summaryAI-generated

This internship focuses on supporting the BI team by modeling data in Databricks and creating Power BI dashboards to track key performance indicators. You will collaborate across departments to transform raw data into actionable insights for business operations.

Skills required

About this role

Job Description

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research Lab Division can provide you with great development and a chance to see if we are the right company for your long-term goals.


As a Business Intelligence Intern, you will support the BI team in gathering, analyzing, and visualizing data to help improve business operations and decision-making processes. You will work closely with various departments, utilizing your analytical skills to turn data into actionable insights.

Key Responsibilities:

  • Assist in data product modeling in Databricks using the business data collected from various internal and external sources.

  • Develop reports and solutions using BI tools (e.g., Power BI and Power Automate) to track key performance indicators (KPIs) and metrics.

  • Collaborate with cross-functional teams to identify business needs and gather requirements.

  • Support data-driven decision-making by analyzing trends, patterns, and performance metrics.

  • Assist in automating reports and building data pipelines leveraging LLM capabilities.

  • Present findings and insights to team members and stakeholders.

Requirements:

  • Currently pursuing a degree in Business Analytics, Data Science, Computer Science, Information Systems, Engineering, or a related field (must have completed at least 2 years of college coursework by the start of the internship).

  • Familiarity with BI tool(s) (e.g., Power BI, Qlik, Tableau, ThoughtSpot, or others).

  • Strong analytical and problem-solving skills, with attention to detail.

  • Basic understanding of database management and data structures.

  • Ability to work independently and in a team environment.

  • Strong communication skills and the ability to present complex data in a clear and concise manner.

Preferred Qualifications:

  • Experience working with large datasets and data visualization tools.

  • Coding experience (SQL, Python) is advantageous.

  • Familiarity with cloud platforms (e.g., Databricks, AWS, Google Cloud) is a plus.

  • Knowledge of statistical analysis or machine learning techniques is advantageous.

Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.

Salary range:
The salary range for this role is $39,908 - $111,111 ​USD

FTP2027

RL2027

Required Skills:

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Intern/Co-op (Fixed Term)

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

10/9/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

✕ position closed

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