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Entry Level Power Bi Analyst Jobs in Minnesota (NOW HIRING)

Experience with data visualization and presentation tools, such as Power BI * Demonstrable record ... Analytical * Technical Expertise * Detail Oriented * Research and Development * Team Leadership

Project Scheduler

Minneapolis, MN · On-site

$90K - $115K/yr

Strong analytical, organizational, communication, and problem-solving skills. * Proficiency with Microsoft Office, including Microsoft Excel; Power BI and Microsoft Project experience preferred.

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Experience with data visualization and presentation tools, such as Power BI * Demonstrable record ... Analytical * Technical Expertise * Detail Oriented * Research and Development * Team Leadership

Showing results 41-60

Entry Level Power Bi Analyst information

See Minnesota salary details

$15

$34

$61

How much do entry level power bi analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for entry level power bi analyst in Minnesota is $34.38, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $41.49 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Power Bi Analyst vs Data Analyst?

AspectEntry Level Power Bi AnalystData Analyst
Required SkillsPower BI, Excel, basic SQLExcel, SQL, data visualization tools
CertificationsPower BI certification preferredNone mandatory, often Excel or SQL certifications
Work EnvironmentBusiness intelligence teams, reporting departmentsData teams, analytics departments
Industry UsageCommon in finance, marketing, salesWidespread across industries including healthcare, finance, retail

While both roles involve data analysis, an Entry Level Power Bi Analyst specializes in creating reports and dashboards using Power BI, focusing on visualization and business insights. A Data Analyst has a broader scope, working with various tools and data sources to analyze and interpret data across multiple platforms. The Power BI Analyst role is more focused on reporting, whereas the Data Analyst may handle more extensive data manipulation and analysis tasks.

Is entry level Power BI analyst in demand?

Entry-level Power BI analysts are in demand as organizations increasingly rely on data visualization and business intelligence tools to make informed decisions. Skills in Power BI, data analysis, and reporting are highly valued, and the role often offers opportunities for growth in data-driven environments.

What does an entry level Power BI analyst do?

An Entry Level Power BI Analyst is responsible for collecting, analyzing, and visualizing data using Microsoft Power BI. They create interactive dashboards and reports to help organizations make data-driven decisions. Their tasks often include cleaning and transforming raw data, connecting to various data sources, and collaborating with other team members to understand business requirements. This role is ideal for those who are new to data analytics but have strong analytical skills and familiarity with Power BI.

What are the key skills and qualifications needed to thrive as an entry level Power BI analyst, and why are they important?

To thrive as an Entry Level Power BI Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency in Power BI, often supported by a relevant degree in analytics, computer science, or a related field. Familiarity with Microsoft Power BI, Excel, and possibly SQL or other data visualization tools is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and present insights clearly to stakeholders. These skills ensure accurate data analysis, meaningful reporting, and the ability to drive informed business decisions.

What are some common challenges faced by entry level Power BI analysts, and how can they overcome them?

Entry level Power BI analysts often encounter challenges related to understanding complex datasets and adapting to diverse business requirements. Learning to effectively clean and transform raw data is essential, as is becoming familiar with DAX functions and Power Query. Collaborating with senior analysts or team members can help you grasp best practices and troubleshoot problems. Taking advantage of online tutorials and company-provided training will also accelerate your learning curve and boost your confidence in building impactful reports and dashboards.
What are the most commonly searched types of Power Bi Analyst jobs in Minnesota? The most popular types of Power Bi Analyst jobs in Minnesota are:
Infographic showing various Entry Level Power Bi Analyst job openings in Minnesota as of August 2026, with employment types broken down into 5% Internship, 73% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $71,515 per year, or $34.4 per hour.

Utility Data and Modeling Analyst

HDR

Saint Louis Park, MN

Full-time

Re-posted 24 days ago


HDR rating

9.1

Company rating: 9.1 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

40th of 446 rated engineering


Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story' 
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. 
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience.  We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.

About the Role

HDR is seeking an entrylevel Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing datadriven utility planning.

Key Responsibilities:

Hydraulic Modeling & System Analysis

  • Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, asbuilt drawings, and field data.
  • Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
  • Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro. 

Data Engineering, Analytics & Visualization

  • Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
  • Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
  • Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
  • Handle highly sensitive and confidential information with professionalism and discretion
  • Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
  • Develop data products including reports, visualizations, and dashboards
  • Adhere to software and data science development standards
  • Perform data acquisition, sourcing, cleaning and exploratory data analysis (EDA)
  • Transform raw data into usable attributes for machine learning modules through feature engineering
  • Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference.
  • Create automated data pipelines and data engineering solutions
  • Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
  • Tune models with training, hyperparameters with comprehensive validation and testing processes

Asset Management & Capital Planning

  • Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.
  • Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
  • Integrate asset, condition, and geospatial data to support longterm strategic planning for utility infrastructure.

Utility Planning, Policy Analysis & Technical Reporting

  • Support development of technical reports, planning documents, regulatory analyses, and client presentations.  
  • Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
  • Leverage predictive models to optimize business results
  • Contribute to studies involving financial planning, rate evaluation, and longrange system needs assessment.

Professional Collaboration

  • Actively participate in HDR's employeeowned, collaborative culture by working closely with multidisciplinary teams including engineers, planners, analysts, and project managers.  
  • Communicate findings through written reports, visualizations, engineering graphics, and presentations.  
  • Maintain high standards of quality control, documentation, and analytical accuracy.

Preferred Qualifications

  • Bachelor's Degree
  • A minimum of 3 years experience in a data science role
  • Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
  • Familiarity with or academic exposure to hydraulic modeling concepts or tools.  
  • Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
  • Oracle Spatial or SQL Server Spatial back-end data processing experience  
  • Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
  • Interest in environmental regulations and policy frameworks related to water and wastewater utilities.  

#LI-EV1

Required Qualifications
  • A degree in a closely related field or combination of education and relevant experience
  • Self-motivated, detail-oriented professional, ability to multitask a must
  • Proficiency with MS Office including Word and Outlook
  • Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
  • Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
  • Proficiency with data science languages such as Python and R
  • Ability to handle confidential information
  • Excellent writing and people skills
  • Strong math and organizational skills
  • Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
  • Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.


What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HDR logo

About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917