Priority Considerations:
Candidates with the following experience will be given preference:
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.
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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.
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 ...
Priority Considerations:
Candidates with the following experience will be given preference:
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.
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