About The Position

The Business Intelligence Developer is a hands‑on business intelligence professional responsible for leading the design, development, and optimization of enterprise‑grade dashboards and reporting solutions. This role serves as a subject‑matter expert in Power BI and partners closely with BI Engineers and data platform teams to ensure scalable, well‑modeled data structures that support business intelligence tools and performance at scale. The role blends deep technical expertise with strong consulting and advisory skills, helping shape both front‑end visualization standards and back‑end data modeling decisions.

Requirements

  • Bachelor’s degree in a quantitative or technical field (Analytics, Computer Science, Information Systems, etc.)
  • 5+ years of experience in business intelligence, analytics, or data visualization
  • Experience supporting executive or client‑facing dashboards
  • Expert‑level experience with Power BI, including: Advanced DAX, Data modeling and semantic layers, Power BI Service administration concepts
  • Strong SQL skills and experience working directly with enterprise data warehouses
  • Demonstrated experience collaborating with BI Engineers or data engineers on data modeling decisions
  • Experience working in Snowflake, Azure, Databricks, or similar cloud data platforms
  • Ability to influence technical design without direct ownership of data pipelines

Nice To Haves

  • Intermediate to advanced experience in Tableau (development or strong comprehension) strongly preferred
  • Experience in healthcare, life sciences, or regulated data environments strongly preferred

Responsibilities

  • Lead the design and development of advanced Power BI reports and dashboards for internal stakeholders and/or clients
  • Serve as a Power BI subject‑matter expert, advising on best practices for DAX, data modeling, Power Query, and visualization design
  • Develop complex DAX measures and calculations to support analytical use cases
  • Optimize report performance, dataset size, refresh strategies, and semantic models
  • Establish and promote visualization and dashboard standards across teams
  • Advise on data structures, dimensional models, and semantic layers
  • Ensure data models are optimized for BI consumption and performance
  • Identify gaps or inefficiencies in source data that impact reporting
  • Translate reporting requirements into clear data model and source table recommendations
  • Help bridge the gap between business requirements and technical data design
  • Create and maintain both technical and design standards for business intelligence products
  • Contribute to decision‑making around tool usage, migration, or standardization, where applicable
  • Partner with analytics leaders and business stakeholders to define requirements and success criteria
  • Review and validate analytical outputs for accuracy, clarity, and business relevance
  • Support UAT, dashboard certification, training, and knowledge transfer

Benefits

  • health and welfare and/or other benefits
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