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Remote Data Analyst Jobs in Excelsior, MN (NOW HIRING)

Fully Remote (St. Paul, MN) Employment Type: Full-Time Experience Level: Advanced (10+ Years) Are you passionate about helping organizations unlock the power of data, analytics, and AI? Trissential ...

New

Lead Business Systems Analyst

Minnetonka, MN · On-site +1

$70K - $140K/yr

... Data Analyst, or related work. * 2+ years of experience building data queries (preferred SQL ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... 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 ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

Showing results 21-40

Remote Data Analyst information

See Excelsior, MN salary details

$38K

$92.4K

$152.1K

How much do remote data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data analyst in Excelsior, MN is $92,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Excelsior, MN?

The most popular types of Data Analyst jobs in Excelsior, MN are:

What job categories do people searching Remote Data Analyst jobs in Excelsior, MN look for?

The top searched job categories for Remote Data Analyst jobs in Excelsior, MN are:

What cities near Excelsior, MN are hiring for Remote Data Analyst jobs?

Cities near Excelsior, MN with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Excelsior, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $92,395 per year, or $44.4 per hour.

Data Management Strategic Planner

Expleo

Saint Paul, MN • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Location: Fully Remote (St. Paul, MN)

Employment Type: Full-Time
Experience Level:
Advanced (10+ Years)

Are you passionate about helping organizations unlock the power of data, analytics, and AI? Trissential is hiring a Data Management Strategic Planner to join our client's team in a highly visible, strategic role where you'll help shape data-driven decision-making, advance data management capabilities, and influence enterprise-wide data strategy. If you enjoy bridging business and technology while driving measurable outcomes, this could be the perfect next step in your career

What's in It for You?

  • Strategic Impact – Help define and influence enterprise data management, governance, analytics, and AI initiatives
  • Cross-Functional Leadership – Partner with business leaders, data teams, project managers, analysts, and technical stakeholders across the organization
  • Innovation Exposure – Contribute to initiatives involving analytics, machine learning, natural language processing, data architecture, and decision modeling
  • Remote Flexibility – Enjoy the benefits of a fully remote work environment while collaborating with high-performing teams
  • Thought Leadership Opportunity – Promote data literacy, governance best practices, and data-driven decision-making across the enterprise
  • Professional Growth – Expand your expertise across data management, business strategy, analytics, governance, and emerging technologies

Your Role & Responsibilities

  • Develop and support strategic data management initiatives that align with business goals and enterprise priorities
  • Collaborate with stakeholders to identify opportunities where data, analytics, AI, and automation can create measurable business value
  • Facilitate workshops, discovery sessions, and stakeholder discussions to gather requirements and drive alignment
  • Help establish and promote data governance practices including master data management (MDM), data stewardship, and data quality initiatives
  • Support the creation of business cases that justify investments in data and analytics programs
  • Work closely with project managers to align business expectations, project objectives, and delivery capabilities
  • Partner with business analysts and technical teams to prioritize and evaluate use cases
  • Contribute to decision modeling efforts that improve organizational decision-making and support complex business trade-offs
  • Influence data literacy initiatives through storytelling, presentations, and stakeholder engagement
  • Assist in defining and communicating enterprise data architecture concepts including data warehouses, data lakes, and data hubs
  • Collaborate with design and user experience teams to ensure data products and visualizations are intuitive and effective
  • Present recommendations, insights, and strategic plans to both technical and non-technical audiences

Skills & Experience You Should Possess

  • 10+ years of experience in data management, data strategy, analytics, business intelligence, data governance, or a related field
  • Strong understanding of analytics methodologies, including descriptive, diagnostic, predictive, and prescriptive analytics
  • Knowledge of artificial intelligence concepts including machine learning, graph analytics, and natural language processing
  • Experience with data management disciplines including ETL, metadata management, data integration, and governance frameworks
  • Understanding of enterprise data architecture concepts, including data warehouses, data lakes, and data hubs
  • Knowledge of structured, semi-structured, and unstructured data environments
  • Experience supporting data governance initiatives including MDM, data quality, and stewardship programs
  • Strong statistical knowledge, including understanding correlation versus causation
  • Experience participating in or supporting project delivery initiatives
  • Business case development experience with demonstrated ability to articulate business value
  • Exceptional communication, facilitation, and presentation skills
  • Ability to influence stakeholders and build effective relationships across technical and business teams
  • Strong storytelling skills with the ability to translate complex concepts into clear business narratives
  • Proven collaboration and teamwork experience across multidisciplinary teams

Bonus Points If You Have

  • Experience with SQL, Python, R, or similar programming languages
  • Familiarity with notebooks and analytical development environments such as RStudio
  • Experience with Informatica, Talend, or comparable data integration platforms
  • Hands-on experience with business intelligence tools such as Microsoft Power BI or Tableau
  • Exposure to data science and machine learning platforms including Dataiku, SAS, or IBM Watson Studio
  • Experience supporting enterprise AI and advanced analytics programs
  • Background working within large-scale enterprise data modernization initiatives

Education & Certifications You Need

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, Business, or a related field
  • Advanced degree preferred
  • Relevant certifications in Data Management, Analytics, Data Governance, Project Management, or Cloud/Data Platforms are highly desirable

What We Offer

At Trissential, we value innovation, collaboration, and the ability to make an impact. When you join our client's team, you'll have the opportunity to work on strategic initiatives that shape the future of data-driven business decision-making.

  • Competitive Compensation – You choose the model that works best for you, both with company-sponsored benefits! $144,000–$154,000 annually or $86–$96 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents – Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
  • Paid Holidays and Paid Time Off
  • Career Development and Advancement – Expleo is a global company in 29 Countries worldwide with a high focus on development
  • Strong Team Culture – Collaborate with experienced professionals who value precision, performance, and teamwork

This role is only open to candidates who are authorized to work in the United States

Ready to be part of something exciting?

If you're passionate about helping organizations leverage data as a strategic asset and want to influence the future of data management, analytics, and AI, we'd love to hear from you. Apply today and take the next step in your career with Trissential