Priority Considerations:
Candidates with the following experience will be given preference:
Proven experience in Data Pipeline development using Python and PySpark.
Hands-on experience in the Healthcare domain.
Key Skills and Experience:
Expertise in creating complex Tableau dashboards with a strong emphasis on UI/UX design.
Proficiency in wireframing, data visualization, and presenting analytical insights to senior leadership.
Strong background in report optimization, Tableau data modeling, and performance tuning.
Advanced SQL skills with exposure to Google BigQuery or similar data warehouse platforms.
Excellent data storytelling and visualization skills.
Solid experience in developing data pipelines using Python and PySpark.
Responsibilities:
Design, develop, and support analytics solutions and data pipelines to deliver actionable business insights.
Collaborate with data and analytics teams to enhance the functionality and efficiency of existing data systems.
Partner with cross-functional teams to address data-related technical challenges and support data infrastructure needs.
Develop, maintain, and monitor interactive Tableau dashboards for various business functions.
Translate business requirements into technical specifications and deliver insightful data visualizations.
Present findings and insights through clear narratives and visual storytelling suitable for both technical and non-technical audiences.