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Remote Data Jobs in Minnesota (NOW HIRING)

Expleo

Data Product Manager

Saint Paul, MN · On-site +1

$89 - $95/hr

Fully Remote (Must be located within the United States) Client Location: St. Paul, Minnesota Are you passionate about transforming complex data ecosystems into scalable, high-value products?

Expleo

Data Product Manager

Saint Paul, MN · On-site +1

$89 - $95/hr

Fully Remote (Must be located within the United States) Client Location: St. Paul, Minnesota Are you passionate about transforming complex data ecosystems into scalable, high-value products?

Expleo

Data Product Manager

Saint Paul, MN · On-site +1

$89 - $95/hr

Fully Remote (Must be located within the United States) Client Location: St. Paul, Minnesota Are you passionate about transforming complex data ecosystems into scalable, high-value products?

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Showing results 21-40

All JobsData JobsRemote Data JobsRemote Data Jobs in Minnesota

Remote Data information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do remote data jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote data in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

The most popular types of Data jobs in Minnesota are:

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

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

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

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

What cities in Minnesota are hiring for Remote Data jobs?

Cities in Minnesota with the most Remote Data job openings:

Remote Data jobs near you
Infographic showing various Remote Data job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Data Product Manager

Saint Paul, MN • On-site, Remote

Expleo
IT Services • 10K+ employees
Learn more about Expleoexternal

$89 - $95/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Overview
Location: Fully Remote (Must be located within the United States)
Client Location: St. Paul, Minnesota
Are you passionate about transforming complex data ecosystems into scalable, high-value products? Trissential is hiring a Data Product Manager to join our client's team and help drive a major data modernization initiative. This is an opportunity to lead the strategy, roadmap, and execution of enterprise data products that directly impact decision-making, operational efficiency, and future innovation across a large public-sector organization
What's In It for You?
  • Lead a large-scale data transformation initiative focused on modernizing legacy systems and enabling enterprise-wide data accessibility
  • Shape the vision and roadmap for critical data products, analytics platforms, and data services
  • Work alongside data engineers, architects, analysts, scientists, and business leaders to drive meaningful outcomes
  • Influence enterprise data governance, responsible AI practices, and data-sharing frameworks
  • Help build trusted, reusable, and scalable data assets that support long-term organizational success
  • Enjoy the flexibility of a remote work environment while working on high-impact initiatives

Your Role & Responsibilities
  • Define and execute the vision, strategy, and roadmap for enterprise data products
  • Identify high-value opportunities by assessing business needs, data landscapes, and organizational challenges
  • Align data product initiatives with enterprise architecture strategies and organizational goals
  • Lead the end-to-end lifecycle of data products, from ideation through deployment, enhancement, and retirement
  • Partner closely with data engineering and data science teams to build scalable data pipelines, models, and services
  • Translate business requirements into data transformations, metadata structures, and domain-specific data rules
  • Ensure data products maintain high standards for quality, governance, documentation, lineage, and scalability
  • Serve as the primary bridge between technical teams and business stakeholders
  • Communicate product roadmaps, value propositions, priorities, and outcomes to leadership and cross-functional teams
  • Define product success metrics and measure adoption, performance, and business impact
  • Support the development of dashboards, KPIs, reporting frameworks, and analytics solutions
  • Promote responsible data use, privacy compliance, governance standards, and ethical AI practices
  • Provide knowledge transfer and mentorship to teams throughout the product lifecycle

Skills & Experience You Should Possess
  • 8+ years of experience in Data Product Management, Data Management, Data Analytics, Data Engineering, or related disciplines
  • Proven ability to lead products and teams within complex and evolving environments
  • Strong understanding of data architecture, data modeling, warehousing, metadata management, governance, and pipelines
  • Experience collaborating with Data Architects, Data Engineers, Data Scientists, and Analytics teams
  • Strong stakeholder management and communication skills with the ability to translate technical concepts into business language
  • Experience developing and managing product roadmaps and prioritization frameworks
  • Proficiency with SQL and data pipeline technologies
  • Hands-on experience with data lakes, ETL processes, and enterprise data platforms
  • Strong analytical and problem-solving skills with a focus on measurable business outcomes

Bonus Points If You Have
  • Significant experience with Databricks
  • Experience using dbt, Looker, Tableau, Power BI, or Google Analytics
  • Familiarity with Python and Java
  • Experience implementing modern enterprise data architectures
  • Background building internal platforms or developer-focused products
  • Experience within a highly regulated industry involving reporting, compliance, and statistical analysis
  • Understanding of data-sharing agreements and large-scale organizational data-sharing constraints
  • Experience supporting cloud-based data modernization initiatives

Education & Certifications You Need
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related field preferred
  • Equivalent combinations of education and relevant professional experience will be considered
  • Product Management, Data Management, Cloud, or Analytics certifications are advantageous

What We Offer
At Trissential, we believe talented professionals perform their best when they are empowered, supported, and given opportunities to make a meaningful impact. By joining our client's team, you'll play a key role in a major modernization initiative while enjoying flexibility, collaboration, and career growth opportunities
  • Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $144,000-$153,000 annually or $89-$95 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 - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Both compensation models offer paid time away from work
  • Fully Remote Flexibility - Work remotely while collaborating with a high-performing cross-functional team
  • Career Growth Opportunities - Gain exposure to enterprise-scale data modernization, governance, analytics, and product leadership
  • Collaborative Culture - Partner with experienced professionals who value innovation, accountability, and continuous improvement

This opportunity is only available to candidates who are authorized to work in the United States
Ready to be part of something exciting?
If you're passionate about data-driven innovation, enterprise data strategy, and building products that create measurable impact, we'd love to hear from you. Apply today and take the next step in your career as a Data Product Manager with Trissential

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