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Remote Climate Data Analyst Jobs in Minnesota (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 ...

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Data Analysis & Reporting: Analyze system performance metrics, including ticket closure rates ... This role is remote however, calls will occur during EST hours. * Previous military or Department ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... As climate change leads to more frequent and severe weather events, we are taking bold action to ...

Responsible for coordinating, analyzing, and submitting regulatory data requests from state ... As climate change leads to more frequent and severe weather events, we are taking bold action to ...

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 ...

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Planning Analyst

Saint Paul, MN · On-site +1

$80K - $120K/yr

Hazelwood Professional Center, MN Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number ... A background in environmental health, waste management, or data analysis is highly valued, along ...

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Media Supervisor

Minneapolis, MN · On-site +1

$80K - $115K/hr

Modern Climate is a full-service marketing company with a modern twist. We combine Modern Climate ... analytics, budget management, forecasting, and optimization. * Ability to turn complex data and ...

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Showing results 21-40

Remote Climate Data Analyst information

What is a remote climate data analyst?

A Remote Climate Data Analyst is a professional who analyzes climate-related data from various sources, such as weather stations, satellites, and environmental sensors, while working remotely. They use statistical and computational tools to interpret data trends, assess environmental impacts, and support climate research or policy decisions. This role often involves creating reports, visualizations, and models to communicate findings to scientists, policymakers, or the public. Remote Climate Data Analysts typically collaborate with teams online and may use specialized software for data analysis, modeling, and geographic information systems (GIS).

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

To thrive as a Remote Climate Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant degree in climatology, meteorology, or data science. Proficiency in data analysis tools such as Python, R, GIS software, and experience with climate databases or remote sensing systems is typically required. Excellent problem-solving, attention to detail, and effective communication skills help you interpret complex data and present findings clearly to stakeholders. These skills ensure accurate analysis and actionable insights that inform climate-related decisions and policies.

How do remote climate data analysts typically collaborate with other team members and stakeholders while working off-site?

Remote Climate Data Analysts often collaborate through digital communication tools, such as video conferencing, shared data platforms, and project management software. They work closely with scientists, engineers, and policy experts to interpret climate data and provide actionable insights. Regular virtual meetings, transparent progress tracking, and clear documentation are essential to ensure alignment and effective teamwork. Additionally, analysts may participate in cross-functional projects, requiring them to adapt communication styles and coordinate with colleagues across different time zones.

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

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

What job categories do people searching Remote Climate Data Analyst jobs in Minnesota look for?

The top searched job categories for Remote Climate Data Analyst jobs in Minnesota are:

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

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

Infographic showing various Remote Climate Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 63% Full Time, 8% Part Time, 8% Temporary, and 21% Contract. Highlights an 100% Remote job distribution.

Data Management Strategic Planner

Expleo

Saint Paul, MN • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

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