MSAT Strategic Operations & Packaging (so&p) Business Solutions Developer

MSAT Strategic Operations & Packaging (SO&P) Business Solutions Developer

Do you love turning business challenges into digital solutions? We're looking for a MSAT Strategic Operations & Packaging (SO&P) Business Solutions Developer to lead the charge in innovation and impact.

Key Responsibilities:

• Collaborate with business partners to identify problems and translate them into smart, scalable business solutions
• Design and build custom business tools using Quickbase, Power Apps, and Power Automate and Power BI—delivering real value.
• Build Data connections by integrating with platforms like SharePoint, SQL Server, CDL, SAP and Dynamics 365 to create flawless digital workflows.
• Deliver projects from concept to launch, handling timelines, aligning teams, and ensuring every solution lands with impact.
• Empower users through hands-on training, clear documentation, and ongoing support—ensuring adoption and long-term success.
• Continuously improve applications by monitoring performance, gathering feedback, and iterating to meet evolving business needs.

Qualifications:

Education:

• A degree or equivalent experience in Software Engineering, Business Information Systems, Computer Science, or a related field — or equivalent real-world experience that shows you've got the skills and attitude to thrive.

Experience and Skills:

Required:

• Experience in application and dashboards development where you've delivered real impact.
• Confidence working with business analytics platforms like Quickbase, Power Apps, Power Automate, and Power BI.
• A solid understanding of data transformation, workflow automation, and user-centered design.
• Excellent communication skills and the ability to collaborate across teams to bring ideas to life.
• A proactive, adaptable mindset—we're always learning, improving, and moving forward together!
• Experience in Azure Databricks technology and data engineering (Python).
• 3-5 years experience developing business analytics solutions in Life Science industry.

Preferred:

• Master's Degree or equivalent
• Familiarity with Agile or Scrum methodologies.
• Experience in Data Science, AI and Machine learning