Senior Data Analytics Engineer - Manufacturing (Hybrid)

Biogen; Milwaukee (WI); Hybrid; USD 98,000 - 127,000; Full time

Benefits offered by this job

Medical, Dental, Vision, & Life insur.

401(k) with company match

Tuition reimbursement up to $10,000

Job summary

Biogen in Milwaukee seeks a Senior Engineer I, Manufacturing Sciences - Data Analytics to enable data-driven decisions across manufacturing. You will develop and deploy data solutions to improve process understanding, performance, investigations, and reporting, partnering with Automation, IT, and cross-functional teams.

This hybrid role requires onsite collaboration three days per week. Ideal candidates have a strong data analytics background, experience with ETL, data pipelines, and multiple

Qualifications

• Bachelor’s degree in relevant scientific or technical fields.
• 4+ years of directly relevant data analytics experience.
• Master’s degree may be considered as relevant experience.
• Experience working with manufacturing, process, engineering, and/or operational data.
• Strong understanding of data management, data quality, and analytics principles.
• Experience building and maintaining data pipelines, integrations, or ETL workflows.
• Demonstrated ability to work with multiple enterprise data sources and manufacturing systems.
• Experience creating technical documentation and presenting findings to diverse audiences.

Responsibilities

• Define manufacturing data requirements and establish processes that ensure data quality, reliability, and meaningful business insights.
• Partner with Manufacturing Sciences, Technical Development, and other stakeholders to translate business needs into analytical and data solutions.
• Build and maintain product-specific data configurations, mappings, documentation, and ETL processes across multiple source systems.
• Develop and support integrations with enterprise manufacturing platforms including DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, and Statistica.
• Enable and support AI-based capabilities, including semantic search, document comparison, and automated report generation.
• Create clear technical documentation and communicate methodologies, findings, and recommendations to cross-functional teams.
• Support manufacturing investigations, process improvement initiatives, and GMP reporting activities through data management, analysis, and modeling.
• Collaborate across technical and operational organizations to advance digital manufacturing and data modernization efforts.

Skills

Data analytics

ETL pipelines

Data integration

Data quality

Cross-functional collaboration

Documentation

Problem solving

Statistical thinking

Education

Bachelor’s degree in relevant field

Master’s degree may be considered

Tools

Spotfire

PowerBI

Tableau

Job description

Biogen in Milwaukee seeks a Senior Engineer I, Manufacturing Sciences - Data Analytics to enable data-driven decisions across manufacturing. You will develop and deploy data solutions to improve process understanding, performance, investigations, and reporting, partnering with Automation, IT, and cross-functional teams.

This hybrid role requires onsite collaboration three days per week. Ideal candidates have a strong data analytics background, experience with ETL, data pipelines, and multiple