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Power Bi Data Scientist Jobs (NOW HIRING)

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Understanding of data science concepts and predictive analytics Technical Environment * Power BI Desktop, Power BI Service, Power BI Premium/Fabric * SQL Server, Azure SQL Database, Azure Synapse ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Understanding of data science concepts and predictive analytics Technical Environment * Power BI Desktop, Power BI Service, Power BI Premium/Fabric * SQL Server, Azure SQL Database, Azure Synapse ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Understanding of data science concepts and predictive analytics Technical Environment * Power BI Desktop, Power BI Service, Power BI Premium/Fabric * SQL Server, Azure SQL Database, Azure Synapse ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

Understanding of data science concepts and predictive analytics Technical Environment * Power BI Desktop, Power BI Service, Power BI Premium/Fabric * SQL Server, Azure SQL Database, Azure Synapse ...

Power BI Developer / BI Data Analyst Location: Remote Job Type: Contract Duration: 6+ Months Job ... Python, R, or other data science tools * Statistical analysis, predictive modeling, and machine ...

KAPITAL is seeking a Power BI Data Analyst to enhance their situational awareness capability through advanced dashboard designs. The role involves transforming curated data into actionable visuals ...

Build a Power BI data model optimized for large datasets * Develop visualizations for ticket volume, aging, type, category, priority, facility, and AVATAR metrics * Create filters, drill‑downs, and ...

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Power Bi Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do power bi data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for power bi data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Power BI Data Scientist?

A Power BI Data Scientist is a professional who combines expertise in data science with proficiency in Microsoft Power BI, a business analytics tool. Their primary role is to analyze complex datasets, build predictive models, and visualize insights using Power BI dashboards and reports. They work closely with stakeholders to turn raw data into actionable business intelligence, enabling data-driven decision-making. In addition to technical skills in statistics, programming, and machine learning, they have a strong understanding of data visualization best practices using Power BI's features.

How does a Power BI Data Scientist typically collaborate with business stakeholders to deliver actionable insights?

Power BI Data Scientists work closely with business stakeholders to understand their analytical needs, translate business questions into data models, and design interactive dashboards. They often conduct regular meetings to gather requirements and validate findings, ensuring that insights are both relevant and accessible to non-technical users. Collaboration is ongoing, as data scientists must adapt reports based on feedback and evolving business objectives, making communication and adaptability key aspects of the role.

What are the key skills and qualifications needed to thrive as a Power BI Data Scientist, and why are they important?

To thrive as a Power BI Data Scientist, you need a strong background in data analysis, statistics, and business intelligence, typically supported by a degree in computer science, mathematics, or a related field. Expertise in Power BI, SQL, DAX, and familiarity with data modeling and visualization tools are essential, along with relevant certifications like Microsoft Certified: Data Analyst Associate. Strong problem-solving, communication, and stakeholder management skills help translate complex data insights into actionable business strategies. These skills are crucial for delivering valuable, data-driven solutions that support informed decision-making across an organization.

What cities are hiring for Power Bi Data Scientist jobs?

Cities with the most Power Bi Data Scientist job openings:

What states have the most Power Bi Data Scientist jobs?

States with the most job openings for Power Bi Data Scientist jobs include:

What are popular job titles related to Power Bi Data Scientist jobs?

For Power Bi Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Power Bi Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Power BI Data Engineer

Minneapolis, MN • On-site, Remote

legence
Nonresidential Building Construction • 1 - 5K employees

$119K - $143K/yr

Full-time

Re-posted 24 days ago


Job description

Position Overview: We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Legence’ s office locations.

Key Responsibilities

Power BI Development & Visualization

  • Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions
  • Develop advanced DAX calculations, measures, and calculated columns to support complex analytical requirements
  • Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features
  • Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting
  • Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding

Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory
  • Develop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniques
  • Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms
  • Write and optimize complex SQL queries, stored procedures, and database functions for performance and efficiency
  • Establish data governance frameworks, including data quality checks, validation rules, and documentation standards

Technical Implementation

  • Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control
  • Implement row-level security (RLS) and object-level security (OLS) for data protection
  • Optimize report performance through query optimization, data model refinement, and DAX tuning
  • Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms
  • Automate data refresh schedules and monitor gateway configurations

Required Qualifications

Technical Skills

  • 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server)
  • Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language)
  • Strong SQL skills with experience in database design, query optimization, and performance tuning
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles
  • Experience with data visualization best practices and UI/UX design principles
  • Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric)

Data & Analytical Expertise

  • Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional)
  • Strong grasp of statistical concepts and analytical methodologies
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data quality assessment and data profiling

Professional Competencies

  • Proven ability to create visually compelling, executive-level dashboards and reports
  • Strong problem-solving skills with a hands-on, solution-oriented approach
  • Excellent communication skills to explain technical concepts to non-technical stakeholders
  • Detail-oriented with commitment to code quality and documentation
  • Demonstrated ability to use AI and automation in software engineering

Preferred Qualifications

  • CS or CIS bachelor 's degree
  • Microsoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)
  • Experience with Python or R for advanced analytics integration
  • Familiarity with Git/Azure DevOps for version control and CI/CD pipelines
  • Knowledge of DAX Studio, and other Power BI development tools
  • Experience with Power BI Embedded or custom API development
  • Understanding of data science concepts and predictive analytics

Technical Environment

  • Power BI Desktop, Power BI Service, Power BI Premium/Fabric
  • SQL Server, Azure SQL Database, Azure Synapse Analytics
  • Azure Data Factory, Azure Data Lake Storage
  • DAX Studio, Tabular Editor, Power Query
  • Git/Azure DevOps for version control

What Makes You Stand Out

  • Portfolio of impressive Power BI dashboards demonstrating design excellence and technical complexity
  • Track record of optimizing poorly performing reports and data models
  • Experience mentoring others in Power BI development and best practices
  • Contributions to the Power BI community (blog posts, speaking engagements, open-source projects)

This is a hands-on technical role requiring daily interaction with data, code, and visualization design. The ideal candidate thrives in environments where they can build solutions from the ground up and take ownership of the entire BI development lifecycle.

Base salary: $105,000–$120,000 per year. This role may be eligible for participation in discretionary bonus plan based on company and individual performance.
Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date). This posting reflects compensation at the time of posting and may be updated.

Unable to provide sponsorship for this position. 
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