Data Visualization Lead

Quick Facts

• Role: Data Visualization Lead

Description

Lead and mentor a team of analysts to convert raw data into actionable insights through dashboards and data storytelling. Oversee the full lifecycle of data solution development with an emphasis on quality and stakeholder satisfaction. Build and maintain pipelines and visualization assets using modern data engineering and BI tools, guiding both front-end design and scalable back-end architecture.

Responsibilities

• Lead and mentor analysts focused on turning raw data into actionable insights
• Oversee end-to-end lifecycle of data solution development (quality and stakeholder satisfaction)
• Develop and refine data pipelines with Azure Data Factory, Databricks, and dbt
• Integrate pipelines into cloud infrastructure
• Create and maintain dashboards using Tableau, Datawrapper, R, Python, SAS, and SQL
• Coordinate with IT and manage partnerships with data providers
• Establish analytical frameworks and ensure data integrity across platforms
• Drive organizational adoption of advanced analytics and visualization strategies
• Guide human-centered front-end design and scalable back-end architecture
• Lead cross-functional analytics initiatives and manage complex data projects
• Perform quality assurance and expand visualization best practices within the team
• Champion continuous learning through training in modern data tools

Requirements

• Proven experience as a Data Visualization Lead, BI Developer, or related dashboard and data storytelling role
• Expertise in data visualization tools such as Tableau, Power BI, Datawrapper, R, Python, and SAS
• Strong understanding of data architecture, dashboard design principles, and user-centered design
• Hands-on experience with Azure Data Factory, Databricks, and dbt
• Ability to design and implement scalable data pipelines for real-time and batch analytics
• Familiarity with SQL and cloud-based data environments (e.g., Azure Synapse, Data Lake)
• Experience setting up visualization standards, QA processes, and governance protocols
• Knowledge of data integrity, security, automation, and workflow optimization best practices
• Strong leadership and mentoring skills across cross-functional analytics teams
• Excellent communication skills to make complex data accessible to diverse stakeholders

Benefits

• Premium-free health insurance plan that can save employees over $10K annually (per a 2024 assessment)
• Additional health, fitness, and financial benefits may be available depending on the position’s union/benefit fund
• Public sector defined benefit pension plan
• Tax-deferred savings program
• Worksite Wellness Program
• Work from home policy: up to two days per week depending on position
• Job security compared to the private sector