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Advanced Analytics Remote 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 ...

First American

Design and maintain semantic data models that support AI readiness, advanced analytics, and chatbot capabilities. Reporting & Data Management * Gather, consolidate, and analyze data from multiple ...

Manulife

This opportunity is a remote role and can be based anywhere in the US. Key Accountabilities ... Analyze sophisticated client fact patterns and develop practical planning approaches that are ...

Three Point Solutions, Inc.

Payroll Analyst - Exempt

MN · On-site +1

Medical Device Manufacturing Company Duration: 3 Months (possible extension) Location: 100% Remote ... Advanced Excel skills for auditing and variance analysis Additional Skills: * Strong analytical and ...

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Advanced Analytics Remote information

What is an advanced analytics remote job?

An Advanced Analytics Remote job involves using data analysis, statistical modeling, and machine learning techniques to extract insights and support business decisions, all while working from a remote location. Professionals in this role analyze complex datasets, build predictive models, and create data visualizations to help organizations solve problems and identify trends. These positions often require strong skills in programming languages such as Python or R, as well as experience with analytics platforms and data visualization tools.

What are some common challenges faced by professionals in remote advanced analytics roles, and how can they be addressed?

Professionals in remote Advanced Analytics roles often encounter challenges such as effective communication with cross-functional teams, managing data security, and maintaining access to necessary tools and datasets. To address these, it's important to establish clear communication channels, leverage collaboration platforms, and follow strict data governance protocols. Regular virtual meetings and documentation also help ensure alignment and project progress, while proactive engagement with IT teams can resolve technical hurdles quickly.

What are the key skills and qualifications needed to thrive as an advanced analytics professional working remotely, and why are they important?

To excel as an Advanced Analytics professional in a remote setting, a strong background in statistics, data analysis, and a relevant degree (such as in mathematics, computer science, or data science) is essential. Expertise with technical tools like Python, R, SQL, data visualization platforms (such as Tableau or Power BI), and familiarity with cloud analytics services is typically required. Outstanding problem-solving abilities, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and project delivery. These skills ensure that analytical insights are accurate, actionable, and delivered efficiently in a distributed work environment.

What is the difference between Advanced Analytics Remote vs Data Analyst Remote?

AspectAdvanced Analytics RemoteData Analyst Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often certifications in analytics toolsBachelor's in Data, Statistics, or related fields; some certifications preferred
Work EnvironmentRemote, often collaborative with data science teamsRemote, typically individual-focused data analysis tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsRetail, marketing, finance, and healthcare sectors
Common Search & Comparison IntentUnderstanding roles requiring advanced analytics skills remotelyFinding remote data analysis jobs and differentiating roles

Advanced Analytics Remote involves working with complex data models, machine learning, and predictive analytics, often requiring specialized skills and certifications. Data Analyst Remote focuses on interpreting data, creating reports, and supporting decision-making with less emphasis on advanced modeling. Both roles are remote but differ in complexity and technical depth.

What are the most commonly searched types of Advanced Analytics jobs in Minnesota?

The most popular types of Advanced Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Advanced Analytics Remote jobs?

Cities in Minnesota with the most Advanced Analytics Remote job openings:

Advanced Analytics Remote jobs near you
Infographic showing various Advanced Analytics Remote job openings in Minnesota as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Power BI Data Engineer

Minneapolis, MN • On-site, Remote

legence
Nonresidential Building Construction • 1 - 5K employees
Learn more about legenceexternal

$119K - $143K/yr

Full-time

Re-posted 29 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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