External Manufacturing & Supply Business Data Analyst - VIE
Job in
Framingham, Middlesex County, Massachusetts, 01704, USA
Listed on 2026-05-30
Listing for:
BioSpace
Contract
position Listed on 2026-05-30
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Job Description & How to Apply Below
About The Job
External Manufacturing & Supply Business Data Analyst VIE within the Digital Data & Technology team. You will work with autonomy on defined projects while being mentored by the AI, Data Foundations & Analytics team. Take ownership of deliverables, contribute to cross‑functional discussions, and help drive the External Manufacturing & Supply data strategy forward.
Main Responsibilities- Contribute with autonomy to data analytics projects across the EM&S organization, from scoping through delivery.
- Take ownership of specific deliverables within larger data science and analytics initiatives.
- Develop and maintain data pipelines, dashboards, and reports with limited supervision.
- Participate actively in cross‑functional meetings and contribute to project discussions.
- Collaborate with Supply Chain, Quality, Finance, and Digital teams to translate business needs into data solutions.
- Contribute to the development and maintenance of EM&S databases and reporting environments (Snowflake, Power BI).
- Minimum of one significant internship or equivalent academic project demonstrating end‑to‑end work on a data science or analytics initiative.
- Demonstrated ability to contribute to data engineering or analytics projects with some independence.
- Familiarity with agile working methods and collaborative development environments.
- Basic understanding of pharmaceutical or manufacturing operations is a plus.
- Solid proficiency in Python programming for data engineering and analytics.
- Good working knowledge of SQL and relational databases.
- Experience with data visualization tools (Power BI, Dataiku, or similar).
- Familiarity with cloud platforms, particularly Snowflake and AWS.
- Experience with Git Hub and version control practices.
- Exposure to machine learning frameworks (scikit‑learn, pandas, Num Py) would be a plus.
- Familiarity with Streamlit or similar application development tools would be a plus.
- Masters degree in Data Science, Computer Science or related field.
- Fluent English (written and verbal).
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