Data Visualization Engineer
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Job Description
Data Visualization Engineer building AI-enhanced Power BI dashboards and semantic models. Transforming insurance brokerage data into scalable, actionable self-service analytics.
Responsibilities:
- Design, develop, and maintain sophisticated Power BI dashboards, reports, scorecards, and analytical applications for business and executive audiences
- Translate complex business requirements into intuitive and actionable analytical experiences
- Develop scalable semantic models, measures, calculated columns, and business logic using DAX
- Build efficient data transformations using Power Query
- Apply dimensional modeling techniques, including star schema, fact and dimension design, hierarchies, and reusable semantic models
- Design dashboards using data visualization, UX/UI, information hierarchy, and data storytelling principles
- Optimize Power BI solutions for performance, scalability, usability, and maintainability
- Implement advanced Power BI capabilities including drill-through, bookmarks, tooltips, dynamic measures, field parameters, and conditional formatting
- Use AI and Generative AI tools to accelerate dashboard and report development, requirements interpretation, DAX development, documentation, testing, and troubleshooting
- Leverage AI-assisted analytical capabilities to identify patterns, anomalies, trends, correlations, and business insights
- Create conversational and AI-assisted data exploration experiences
- Explore natural-language querying, AI-generated narratives, automated summaries, anomaly detection, forecasting, and intelligent visualization recommendations
- Identify opportunities where AI can reduce manual reporting effort and improve productivity
- Establish reusable patterns and best practices for responsible AI adoption within BI and analytics
- Connect Power BI to cloud platforms, databases, APIs, data warehouses, lakehouses, Excel/SharePoint sources, and other enterprise applications
- Collaborate with data engineering teams to define datasets and data models for analytics consumption
- Perform data profiling, validation, reconciliation, and troubleshooting to ensure dashboard accuracy
- Develop incremental refresh and data refresh strategies
- Understand data dependencies and assist with root-cause analysis of data-quality issues
- Implement Row-Level Security (RLS) and data-access controls
- Follow standards for workspace management, deployment, naming conventions, documentation, and governance
- Participate in development, testing, deployment, and production-support processes
- Promote reusable datasets and governed semantic models
- Partner with data governance and security teams on sensitive or confidential information
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or related field required
- Minimum of 3 years of experience in Business Intelligence, Data Analytics, or Data Visualization
- Proven hands-on experience developing and maintaining solutions using Microsoft Power BI
- Strong SQL skills, with the ability to write, optimize, and troubleshoot complex queries
- Experience working with modern cloud data platforms such as Databricks, Snowflake, or similar technologies
- Experience designing dimensional data models and enterprise semantic models
- Demonstrated ability to optimize Power BI reports and datasets for performance
- Strong understanding of data quality, validation, and reconciliation
- Experience translating ambiguous business requirements into effective analytical solutions
- Demonstrated proficiency using Generative AI or AI-assisted tools in analytics and BI workflows
- Ability to critically evaluate AI-generated output for accuracy and business context
- Strong analytical, problem-solving, and critical reasoning skills
- Excellent written and verbal communication skills, including the ability to present technical concepts and data-driven insights to non-technical stakeholders
- Ability to pass a criminal background check, as permitted by law
- Preference given to candidates in Eastern or Central U.S. time zones
Benefits:
- Competitive Salary
- Health Insurance Plans (PPO, HSA, Copay Options)
- Dental Insurance
- Vision Insurance
- Company Paid Disability Insurance
- Supplemental Insurance including Critical Illness, Accident, Legal, Pet Insurance
- 401(k) with Safe Harbor Match
- Paid Time Off
- Paid Holidays
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