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Remote Data Analysis Intern Jobs in Minnesota (NOW HIRING)

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ...

Dahl Consulting

Data Product Manager (Remote)

Minneapolis, MN · Remote

$67.67 - $112.78/hr

Data Product Manager Location : Remote Job Type : Contract (5 Months) Compensation : $67.67 - $112 ... This role will serve as a strategic liaison between business stakeholders, analytics teams, source ...

New

Essentia Health

Access Analyst II

Duluth, MN · On-site +1

$68K - $102K/yr

Performs data analysis to identify trends, evaluate business processes, and support data-driven ... Remote Shift Rotation: Day Rotation (United States of America) Shift Start Time: Days Shift End ...

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Remote Data Analysis Intern information

What is a remote data analysis intern?

Remote Data Analysis Interns are students or recent graduates who work from a remote location to support organizations in gathering, cleaning, analyzing, and interpreting data. They often use tools like Excel, SQL, Python, or R to identify trends and provide actionable insights. These interns typically assist with tasks such as data collection, report generation, and data visualization, all while collaborating virtually with their team. The role helps interns develop technical and analytical skills in a real-world business context.

What are the key skills and qualifications needed to thrive as a remote data analysis intern?

To thrive as a Remote Data Analysis Intern, you need foundational skills in statistics, data interpretation, and a relevant academic background, such as coursework in mathematics, computer science, or a related field. Familiarity with data analysis tools like Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, self-motivation, and effective remote communication are essential soft skills for success in a virtual work environment. These skills ensure accurate data insights, efficient collaboration, and the ability to contribute meaningfully to projects while working remotely.

How does a remote data analysis intern typically collaborate with team members and supervisors while working off-site?

As a Remote Data Analysis Intern, you’ll frequently collaborate with team members and supervisors through digital communication tools such as Slack, Zoom, and project management platforms like Asana or Trello. Regular check-in meetings and virtual stand-ups are common to discuss ongoing projects, clarify expectations, and receive feedback. You may also participate in shared code repositories or data dashboards, ensuring transparency and consistent progress. Being proactive in communication and comfortable with asynchronous feedback are key to succeeding in this remote, team-oriented environment.

What is the difference between Remote Data Analysis Intern vs Remote Data Analyst?

AspectRemote Data Analysis InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree or certification in data analysis, statistics, or related discipline
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time or part-time remote roles with more independent responsibilities
Employer & Industry UsageInternships offered by tech, finance, healthcare, and consulting firmsEstablished companies across various industries seeking experienced data professionals
Common Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsSeeking experienced roles or career advancement in data analysis

The main difference between a Remote Data Analysis Intern and a Remote Data Analyst lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining initial industry exposure, while data analysts are more experienced professionals handling complex data projects independently.

What are popular job titles related to Remote Data Analysis Intern jobs in Minnesota?

For Remote Data Analysis Intern jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis Intern jobs in Minnesota look for?

The top searched job categories for Remote Data Analysis Intern jobs in Minnesota are:

Remote Data Analysis Intern jobs near you
Infographic showing various Remote Data Analysis Intern job openings in Minnesota as of June 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% Remote job distribution.

Power BI Data Engineer

legence

Minneapolis, MN • On-site, Remote

$119K - $143K/yr

Full-time

Re-posted 2 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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