BI Visualization Architect

1 month ago

Columbus, United States Smart IT Frame LLC Full time

Job Title: Power BI Visualization Architect

Location: Columbus, OH (Hybrid)

Work Type: Full Time



Job Summary:

We are seeking a seasoned Power BI Visualization Architect with extensive experience in building and enhancing data visualization solutions. This hybrid role requires expertise in Power BI, UI/UX best practices, and a strong background in the insurance industry, preferably in finance. The successful candidate will be responsible for upgrading and refining the current Power BI reporting suite to represent key performance metrics effectively, ensuring the end user experience is optimized and the data available supports comprehensive analysis.


Role & Responsibilities Overview:

  • Develop and enhance Power BI dashboards and reports with a focus on user experience, clarity, and performance.
  • Collaborate closely with business stakeholders to understand reporting needs and deliver visualizations that cater to various end-user personas.
  • Design and implement intuitive data models and ensure proper data flows are established to enable detailed insights.
  • Apply best practices in UI/UX design to create visually appealing and functional reports.
  • Ensure data consistency and integrity in reports, enabling detailed analysis and seamless data drilldowns.
  • Integrate Power BI with multiple data sources to ensure seamless data availability and optimized reporting workflows.
  • Use SQL, DAX, and other query languages to manage, manipulate, and retrieve data for visualization.


Candidate Profile:

  • 8+ years of experience in data visualization, with a strong focus on Power BI.
  • Proven expertise in designing and developing Power BI reports and dashboards.
  • Strong understanding of insurance industry, with a preference for candidates with experience in insurance finance.
  • Proficiency in SQL, DAX, and data modeling techniques.
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (Master’s degree preferred).
  • Ability to collaborate with cross-functional teams, including business analysts and data engineers.
  • Strong communication skills to convey complex data insights to nontechnical stakeholders.

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