2

Remote Data Analyst Ai Jobs in Minnesota (NOW HIRING)

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

This position is remote in Minnesota and will need to be within a commutable distance to Minneapolis. Data Analyst I Essential Functions * Process report or data requests from various departments ...

Data Analyst III

Minneapolis, MN · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... a remote position. In this role, you will have the opportunity to: * Partner with Operating ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Remote Data Analyst Ai information

What is a remote data analyst AI?

Remote Data Analyst AI jobs involve analyzing large datasets to extract actionable insights, often by applying artificial intelligence and machine learning techniques. These professionals work from home or any remote location, using specialized software to process, visualize, and interpret data trends. They collaborate with businesses to solve complex problems, forecast outcomes, and support data-driven decision-making. Strong analytical, programming, and communication skills are essential for success in this role.

How does a remote data analyst AI typically collaborate with cross-functional teams while working remotely?

As a Remote Data Analyst AI, you will frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings and shared digital platforms. Effective communication is essential, as much of your work involves translating complex data insights into actionable recommendations for team members in different locations. You'll often use collaboration tools like Slack, project management software, and cloud-based data dashboards to share findings and coordinate tasks. Building strong working relationships virtually can be a challenge, but regular check-ins and clear documentation help ensure alignment and successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote data analyst AI, and why are they important?

To thrive as a Remote Data Analyst AI, you need strong analytical skills, expertise in statistics, and proficiency with data analysis, typically backed by a degree in a quantitative field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is commonly required. Outstanding problem-solving, attention to detail, and effective communication are vital soft skills for collaborating remotely and presenting insights clearly. These skills and qualifications are important to accurately interpret data, drive actionable recommendations, and succeed in a fast-evolving, distributed work environment.

What is the difference between Remote Data Analyst Ai vs Remote Data Scientist?

AspectRemote Data Analyst AiRemote Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Google Data AnalyticsBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentRemote, often in analytics teams within various industriesRemote or hybrid, working on complex models and research in tech, finance, healthcare
Employer & Industry UsageBusiness, marketing, finance, healthcare companiesTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesYes

Remote Data Analyst Ai focuses on analyzing data using AI tools to generate insights, often with a focus on business intelligence. Remote Data Scientist involves developing complex models and algorithms to solve advanced problems. While both roles require similar educational backgrounds and work environments, Data Scientists typically handle more technical, research-oriented tasks compared to Data Analysts.

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

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

What cities in Minnesota are hiring for Remote Data Analyst Ai jobs?

Cities in Minnesota with the most Remote Data Analyst Ai job openings:

Infographic showing various Remote Data Analyst Ai job openings in Minnesota as of August 2026, with employment types broken down into 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Enterprise Data Analyst

Husch Blackwell Llp

Minneapolis, MN • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 13 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

4th of 35 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Connecticut: $95,000 - $241,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


What Husch Blackwell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom