Data Analytics Manager

Data Analytics Manager

Reporting to the IT Director of Data Products and Analytics, the Data Analytics Manager will lead the development of high priority data analytics projects that ultimately improve the ability to produce positive outcomes.

This role will have high visibility from business and IT leadership and will have a direct impact on the 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.

The ideal candidate has a blend of data analytics technical expertise, 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.

Responsibilities

• Accountable for end-to-end delivery of data analytics solutions using Microsoft Fabric Power
• Design technical solutions based on business requirements in alignment with IT architecture standards and processes.
• Design 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.
• Work closely with group of developers and data engineers to develop, troubleshoot and validate code, models and PowerBI data products.
• Lead technical project delivery teams consisting of data / BI engineers including assigning work, tracking progress, and providing technical guidance.
• Engage and manage business and IT stakeholders throughout the requirements gathering, delivery, and testing process.
• Negotiate project scope, cost, timeline, and changes with business and IT
• Take functional ownership of a specific business area (e.g. Clinical, Corporate Functions, etc).
• Identify and lead continuous improvement activities related to new technologies and business process within Data Products & Analytics department

Qualifications

• Technical expertise in both Power BI and cloud Data Lake / Lakehouse technology (Microsoft Fabric is preferred, but Databricks or equivalent will be considered).
• Strong experience designing data models in the context of a data lake platform, including the implementation of medallion architecture.
• Coding proficiency in PySpark and experience with Git based version control and CI/CD.
• Experience with delivering projects in adherence with IT and team Experience designing and implementing design standards is a plus.
• Experience leading data analytics projects and technical teams. Direct people management experience is a plus.
• Experience engaging with business and IT
• Relevant subject matter expertise in relevant business areas (e.g. Clinical Trials, Clinical Operations, Technical Operations) and source system types (e.g. SAP, Veeva, CTMS, PPM)

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