Sr. Business Intelligence Engineer (Power BI)

Hybrid in Chicago, IL, US • Posted 30+ days ago • Updated 26 days ago
Full Time
Hybrid
$120,000 - $150,000/yr
Fitment

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Job Details

Skills

  • Power BI
  • Business Intelligence
  • DAX
  • Star Schema
  • Data Modeling

Summary

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

A prestigious company is looking for a Sr. Business Intelligence Engineer (Power BI). This role is focused on Power BI, DAX, Star Schema, Data Modeling, row vs. filter context, governance, Premium capacity, dashboard architecture, etc.

Responsibilities:

  • Designing and building Power BI dashboards and reports
  • Developing semantic/data models where needed
  • Translating business requirements into technical specifications
  • Partnering with stakeholders (Finance, Marketing, etc.) to define KPIs
  • Collaborating with data engineers when new data ingestion is required
  • Supporting migration from legacy tools (Cognos, SSRS)
  • Breakdown: ~80% hands-on development, ~20% stakeholder engagement
  • Power BI as the primary reporting platform
  • Databricks (or similar cloud platform) as the data foundation
  • Data is generally clean and curated, but gaps may require coordination with data engineering

Qualifications:

  • 5 years designing and delivering enterprise BI solutions
  • Education requirements met (BA)
  • Databricks or data platform exposure
  • Expert in Power BI
  • Legal of Professional Services Exp
  • 5+ years of experience designing and delivering enterprise BI solutions
  • Strong Power BI expertise (critical) - Experience with one or more additional enterprise BI platforms such as Tableau, Cognos, Looker, or Qlik is also acceptable, provided the candidate is willing and able to develop deep Power BI expertise.
  • Strong SQL and Data querying skills
  • Experience building semantic models, Advanced dashboards using DAX and Power Query data modeling, visualization best practices
  • Experience working directly with business stakeholders
  • Exposure to cloud data platforms (e.g., Databricks (preferred), Snowflake, Azure Synapse etc.)
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.
  • Dice Id: napil006
  • Position Id: 8983217
  • Posted 30+ days ago
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