Description

You will lead data analytics initiatives by providing technical advisory, solution design, and architectural support to clients.

Responsibilities

• Serve as a strategic advisor to clients, providing guidance on leveraging data analytics for outcome-driven solutions.
• Conduct assessments of client data infrastructure, analytics capabilities, and business processes.
• Design and oversee the implementation of advanced data analytics solutions specifically for life sciences organizations.
• Develop customized data analytics proposals and solutions aligned with industry trends.
• Lead client meetings and presentations to articulate the value of data analytics services.
• Design and implement secure, scalable, and highly available cloud-based solutions on Azure.

Required Skills

• 15+ years in data analytics consulting with 10+ years in a Senior Architect role within a consulting firm.
• 5+ years designing solutions using Databricks, Snowflake, PySpark, and Big Data tools.
• Hands-on expertise with Azure Databricks on Azure.
• Proficiency in Python, R, and SQL.
• Deep technical understanding of major cloud platforms including Azure, GCP, and AWS.
• Experience with DataOps, Data Engineering, Data Integration, Data Orchestration, and Data Marketplace.
• Strong technical experience with BI reporting tools such as Power BI, Tableau, or ThoughtSpot.
• Strong ERP knowledge, specifically SAP, within the manufacturing industry.
• Proven track record of delivering data analytics projects for Fortune clients.

Preferred Skills

• Relevant certifications such as Snowflake, Databricks, Certified Analytics Professional, or AWS Certified Big Data - Specialty.

Key Skills

Education

Any Graduate