- Design develop and maintain interactive Tableau dashboards and visualizations that communicate data-driven insights clearly and effectively.
- Partner with data engineers and analysts to build clean scalable data models in BigQuery and data lakes that power dashboards and reports.
- Write and optimize SQL queries and ETL logic to prepare data for visualization and business use.
- Collaborate with business stakeholders to gather requirements define KPIs and translate them into impactful BI solutions.
- Develop automated data pipelines (in collaboration with data engineers) using GCP services such as BigQuery Dataflow and Cloud Composer.
- Implement data quality checks governance rules and access control to ensure trust and compliance in reporting.
- Build and maintain semantic layers and data marts optimized for BI and self-service analytics.
- Automate reporting workflows data refresh schedules and metadata documentation for consistent delivery.
- Promote best practices in data visualization user experience and dashboard performance optimization.
Required Skills & Experience
- 3 6 years of experience in Business Intelligence Data Analytics or Data Engineering roles.
- Strong expertise in Tableau Desktop Tableau Prep and Tableau Server/Cloud (dashboard design publishing data sources performance tuning).
- Advanced proficiency in SQL and working knowledge of Python or R for analytics automation.
- Hands-on experience with Google Cloud Platform (BigQuery Dataflow Cloud Storage Cloud Composer).
- Deep understanding of data modeling ETL/ELT processes and star/snowflake schema design.
- Experience building BI solutions on cloud-based data warehouses such as BigQuery
- Develop and manage Tableau Prep flows to clean transform and enrich datasets before visualization.
- Publish refresh and optimize Tableau data extracts and live connections for performance and scalability.
- Automate extract schedules flow runs and metadata updates using Tableau Server / Tableau Cloud.
- Strong analytical storytelling and communication skills - able to present technical insights in a business-friendly way.
- Exposure to machine learning integration or predictive analytics in dashboards.
Design develop and maintain interactive Tableau dashboards and visualizations that communicate data-driven insights clearly and effectively. Partner with data engineers and analysts to build clean scalable data models in BigQuery and data lakes that power dashboards and reports. Write and optim...
- Design develop and maintain interactive Tableau dashboards and visualizations that communicate data-driven insights clearly and effectively.
- Partner with data engineers and analysts to build clean scalable data models in BigQuery and data lakes that power dashboards and reports.
- Write and optimize SQL queries and ETL logic to prepare data for visualization and business use.
- Collaborate with business stakeholders to gather requirements define KPIs and translate them into impactful BI solutions.
- Develop automated data pipelines (in collaboration with data engineers) using GCP services such as BigQuery Dataflow and Cloud Composer.
- Implement data quality checks governance rules and access control to ensure trust and compliance in reporting.
- Build and maintain semantic layers and data marts optimized for BI and self-service analytics.
- Automate reporting workflows data refresh schedules and metadata documentation for consistent delivery.
- Promote best practices in data visualization user experience and dashboard performance optimization.
Required Skills & Experience
- 3 6 years of experience in Business Intelligence Data Analytics or Data Engineering roles.
- Strong expertise in Tableau Desktop Tableau Prep and Tableau Server/Cloud (dashboard design publishing data sources performance tuning).
- Advanced proficiency in SQL and working knowledge of Python or R for analytics automation.
- Hands-on experience with Google Cloud Platform (BigQuery Dataflow Cloud Storage Cloud Composer).
- Deep understanding of data modeling ETL/ELT processes and star/snowflake schema design.
- Experience building BI solutions on cloud-based data warehouses such as BigQuery
- Develop and manage Tableau Prep flows to clean transform and enrich datasets before visualization.
- Publish refresh and optimize Tableau data extracts and live connections for performance and scalability.
- Automate extract schedules flow runs and metadata updates using Tableau Server / Tableau Cloud.
- Strong analytical storytelling and communication skills - able to present technical insights in a business-friendly way.
- Exposure to machine learning integration or predictive analytics in dashboards.
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