Business Data Analyst

Client Name: Akkodis
End Client Name: AstraZeneca

Job Title: Business Data Analyst
Location: Wilmington, DE (4 days on-site)- Local needed
Work Type: Onsite
Job Type: Contract (6 18 months+)
Rate: $55/hr on W2

Notes:

Citizens only.

Must provide a LinkedIn page.

Job Description:
We are seeking a Business Data Analyst with strong analytical and reporting expertise to support business operations and data-driven decision-making.

Must Have:

• 5+ yr exp as Business Data Analyst
• 3+year PowerBI
• Pharma industry
• LinkedIn Page

Business Data Analyst
Reporting to the IT Director of Data Products and Analytics, the Business Analyst Manager will manage the development of high priority data analytics projects that ultimately improve Incyte's ability to produce positive patient outcomes. This role will have high visibility from business and IT leadership and will have a direct impact on Incyte's strategic initiative to build out a modern data lake platform.


This role is part of a rapidly growing team: the successful candidate will have opportunities for expanding responsibility and shaping the future vision of how data and AI are used at Incyte. The ideal candidate has a blend of Business Analysis (driving requirements, stakeholder enagement, etc) data analytics technical experiences (powerBI / moderate level) leadership ability, and relevant subject matter knowledge. The ideal candidate is comfortable working in a dynamic fast-paced environment and highly motivated to grow in responsibility as the team grows, including opportunities for direct people management. This position is hybrid with expectation to be in office 4 days per week in Chadds Ford PA and/or Wilmington, DE.



Responsibilities
Drive technical solutions based on business requirements in alignment with IT architecture standards and processes.
Define (as a BA) and drive the Dev/Design of relational models developing semantic relationships between tables and entities based on requirement gathering and interaction with stakeholders.
Convert business requirements and problem statements into actionable code delivering ETL/ ELT data transformation, using notebook-based development using PySpark. (relaying requirements to Tech teams etc)