Description

Key Responsibilities

• Design and develop interactive dashboards, reports, and data visualizations that communicate key metrics, trends, and insights clearly and effectively
• Partner with business stakeholders, analysts, and data teams to gather requirements, understand KPIs, and translate business questions into compelling visual narratives
• Select the most appropriate visualization types, tools, and techniques based on the nature of the data and the needs of the audience
• Connect visualization tools to enterprise data sources including cloud data platforms, relational databases, APIs, and flat files
• Build and optimize underlying data models, semantic layers, and calculated metrics that power accurate and performant visualizations
• Apply data visualization best practices around layout, color, typography, accessibility, interactivity, and information hierarchy
• Establish and maintain visualization standards, design templates, style guides, and component libraries to ensure consistency across the reporting environment
• Optimize dashboard performance through efficient data modeling, query tuning, caching strategies, and incremental data loading
• Collaborate with data platform engineers and modelers to surface data quality issues and ensure visualizations are built on reliable, well-documented data assets
• Support self-service analytics adoption by developing user documentation, training materials, and reusable report templates
• Conduct peer reviews of visualization work and provide technical guidance to other contributors in the BI environment

Required Qualifications

• 6+ years of experience in data visualization, business intelligence engineering, or a closely related discipline
• Expert proficiency in one or more leading visualization platforms such as Power BI, Tableau, Looker, Qlik Sense, or equivalent
• Strong SQL skills with the ability to write, optimize, and troubleshoot queries against large relational and cloud-based datasets
• Solid understanding of data modeling concepts including star and snowflake schemas, relationships, aggregations, and calculated fields as applied to BI semantic layers
• Experience connecting visualization tools to modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Amazon Redshift
• Strong grasp of data visualization principles and UX best practices including accessibility standards (WCAG), color theory, visual hierarchy, and responsive design
• Demonstrated ability to gather and translate business requirements into polished, production-ready dashboards and reports
• Proven ability to work independently, manage a pipeline of deliverables, and communicate proactively in a contractor or consulting capacity

Preferred Qualifications

• Proficiency in more than one visualization platform is strongly preferred
• Familiarity with Python or R for data preparation, statistical analysis, or advanced analytics integration within visualization environments
• Knowledge of data governance, data cataloging, and metadata management practices and how they relate to trustworthy reporting
• Experience building visualization solutions within a Center of Excellence (COE), enterprise BI governance framework, or centralized data team
• Familiarity with version control (Git) and CI/CD practices applied to BI development and deployment workflows
• Background in regulated industries such as financial services, healthcare, retail, or government is a plus
• Relevant certifications in Power BI, Tableau, Looker, or cloud data platforms are welcome

Key Skills

Education

Not specified