Description

• 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.
• 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.

Qualifications:

• 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.
• 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.
• Tableau or Google Cloud certification (e.g., Tableau Certified Data Analyst, Professional Data Engineer)

Key Skills

Education

Bachelor's degree