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Entry Level Power Bi Data Analyst Jobs in Minnesota

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

Data Analyst I

Bloomington, MN · On-site

$24.83 - $28.65/hr

Data Analyst I Essential Functions * Process report or data requests from various departments using ... use Power BI including DAX and M language. • Proficiency with SharePoint, Excel, and Power ...

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

Data Analyst I Essential Functions * Process report or data requests from various departments using ... Ability to use Power BI including DAX and M language. Proficiency with SharePoint, Excel, and Power ...

... data exploration, statistical literacy, and visualization tools such as Power BI, Tableau, Excel) to support analysis. • Communicate findings and recommendations clearly, translating technical ...

Showing results 21-40

Entry Level Power Bi Data Analyst information

What does an entry level Power BI data analyst do?

An Entry Level Power BI Data Analyst is responsible for collecting, cleaning, and analyzing data to help organizations make informed business decisions. They use Microsoft Power BI, a data visualization tool, to create interactive dashboards and reports that present insights in a clear and accessible way. Typical tasks include importing data from various sources, transforming data sets, building visualizations, and collaborating with team members to support data-driven strategies. This role is ideal for those starting their career in data analysis and looking to develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as an entry level Power BI data analyst?

To thrive as an Entry Level Power BI Data Analyst, you need a solid understanding of data analysis, statistics, and basic business intelligence concepts, often supported by a relevant degree such as in computer science or business analytics. Familiarity with Microsoft Power BI, Excel, SQL, and possibly a Power BI certification are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

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

Entry-level Power BI Data Analysts often encounter challenges such as understanding complex datasets, translating business requirements into effective visualizations, and ensuring data accuracy. To overcome these, it's important to communicate closely with stakeholders to clarify reporting needs, invest time in learning Power BI features, and regularly validate data sources for consistency. Joining team meetings and collaborating with more experienced analysts can also help build skills and confidence in handling real-world data tasks.

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

AspectEntry Level Power Bi Data AnalystData Analyst
Required SkillsPower BI, Excel, SQL, basic data visualizationExcel, SQL, data visualization, statistical analysis
CertificationsPower BI certification preferredNone specific, general data analysis certifications
Work EnvironmentBusiness intelligence teams, data departmentsVarious industries, departments, data-focused roles
Industry UsageCommon in tech, finance, marketingWidespread across all sectors

Entry Level Power Bi Data Analysts focus on creating dashboards and reports using Power BI, while Data Analysts may work with a broader set of tools and techniques. Both roles require foundational data skills, but Power BI expertise is key for the former. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Power Bi Data Analyst jobs in Minnesota?

The most popular types of Power Bi Data Analyst jobs in Minnesota are:

What are popular job titles related to Entry Level Power Bi Data Analyst jobs in Minnesota?

For Entry Level Power Bi Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Entry Level Power Bi Data Analyst jobs in Minnesota look for?

The top searched job categories for Entry Level Power Bi Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Entry Level Power Bi Data Analyst jobs?

Cities in Minnesota with the most Entry Level Power Bi Data Analyst job openings:

Infographic showing various Entry Level Power Bi Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

Tactile Medical

New Brighton, MN • On-site

$61K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.
The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Accountabilities & Responsibilities
  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:
  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:
  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:
  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions.
Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience.
US Pay Range
$61,500-$86,205 USD
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