Power BI Data Scientist
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Power BI/ Data Scientist
Primary Location: On-Site (5 days per week- Pilsen area)
Position Type: Direct Hire
Overview
We are seeking a forward-thinking Power BI / Data Scientist to lead the development of our next-generation data ecosystem. This role bridges traditional business intelligence with advanced AI capabilities by leveraging Microsoft Fabric to curate enterprise data build complex Power BI reporting and develop AI-driven data experiences.
A key focus of this role is preparing data for natural language interaction including building and refining Linguistic Schemas and AI-ready semantic models that enable intuitive high-value business insights.
What Youll Do
- Power BI & Reporting
Design develop and maintain high-impact Power BI dashboards and interactive reports
Leverage advanced DAX and Power Query to deliver performant business-aligned analytics
- Data Curation & Fabric Engineering
Curate transform and model raw data into high-quality reporting-ready datasets
Utilize Microsoft Fabric OneLake to ensure data integrity scalability and optimized retrieval
- AI Agent Development
Build and configure Fabric Data Agents that enable natural language (Q&A) interaction with enterprise data
Partner with stakeholders to align AI capabilities with real business use cases
- Linguistic Schema & AI Readiness
Prepare data for AI consumption by building and importing Linguistic Schemas
Enhance natural language understanding and usability across AI-driven experiences
- Model Optimization
Refine semantic models with AI-specific instructions example queries and synonym mapping
Improve the accuracy relevance and reliability of generative AI outputs
What You Bring
810 years of experience in data engineering BI development or reporting solutions with a strong delivery track record
Deep experience with Power BI data modeling and enterprise reporting
Hands-on experience with or strong interest in Microsoft Fabric AI-enabled analytics and semantic modeling
Practical understanding of IT infrastructure software development lifecycles and cloud operations
Strong communication and business-alignment skills with the ability to translate between technical and non-technical stakeholders
What Success Looks Like
- First 90 Days
Build strong relationships with teammates and business stakeholders
Learn existing data applications systems processes and infrastructure
- 6 Months
Own delivery of core systems and reporting solutions
Ship initial AI-driven data and analytics capabilities
- 12 Months
Earn strong trust from business users
Deliver measurable impact through AI data curation and advanced reporting
Compensation Information
The expected salary range for this position is $120000 - $150000 a year depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance 401(k) and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.
This role requires authorization to work in the U.S. without current or future visa sponsorship.
All offers are contingent upon the completion of a background check which may include but is not limited to reference checks education verification employment verification drug testing criminal records checks and any required certifications or compliance requirements based on the end clients background check policies and applicable laws.
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI video screening and our unique platform. TalentFish focuses on providing the best employee consultant and client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
