Overview
On Site
$100,000 - $130,000
Full Time
Skills
Analytics
Artificial Intelligence
Business Intelligence
Collaboration
Communication
DAX
Dashboard
Data Analysis
Data Engineering
Data Flow
Data Quality
Data Visualization
Databricks
Dimensional Modeling
User Stories
User Experience
UI
Data Warehouse
Microsoft Power BI
Microsoft SQL Server DBA
Microsoft SQL Server Management Studio (SSMS)
Relational Databases
Reporting
SQL Azure
Semantics
Microsoft
Microsoft Azure
Microsoft Excel
Modeling
Mentorship
Presentations
Tableau
Database
SQL
Job Details
Role: Data Visualization Engineer, onsite in Louisville, KY - Full-time
Job description: 384975/-DW
Experience Required: 8 - 15 + Years
Must Have Technical/Functional Skills
- Expertise in designing effective and user-friendly dashboards for data analysis and presentation.
- Proficiency in ad hoc analysis using Excel and querying Azure SQL databases.
- Strong command of DAX and Power BI semantic modeling.
- Deep Experience with dataflows and Microsoft Fabric environments.
- Familiarity with Databricks - Databricks One, Lakehouse, AI/BI Genie and Dashboards is a plus.
- Ability to understand and translate business requirements into comprehensive analytics solutions, including identifying potential conflicts or gaps.
- Strong collaboration skills and ability to thrive in cross-functional teams.
- Expert in the Microsoft data stack and advanced SQL skills for working with large datasets.
- Excellent written and verbal communication skills.
Experience Required
- Minimum 3 years of hands-on experience with Power BI (required); experience with Tableau desired.
- 5 years of experience in business intelligence.
- 3 - 5 years of experience with relational databases and dimensional modeling.
- 3 years of experience using SQL Server Management Studio (SSMS).
- Experience with Microsoft Azure services (e.g., Data Factory, Data Warehouse).
Roles & Responsibilities
- Lead the design and development of advanced Power BI reports and dashboards that deliver actionable insights.
- Translate complex business requirements into scalable and maintainable data models and visualizations.
- Apply advanced data visualization techniques and semantic modeling to support enterprise analytics initiatives.
- Collaborate with product owners and stakeholders to define reporting strategies and prioritize analytics needs.
- Guide and mentor junior developers, providing training, code reviews, and best practice recommendations.
- Champion user interface (UI) and user experience (UX) design principles to ensure intuitive and impactful visualizations.
- Partner with Data Engineering to identify, access, and integrate data from diverse sources, ensuring data quality and consistency.
- Support product owner activities as needed, including backlog refinement, user story development, and aligning deliverables with business goals.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.