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Full Time Remote Data Modeler Jobs in Minneapolis, MN

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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 and optimize data models using star schema, snowflake schema, and other dimensional ...

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 and optimize data models using star schema, snowflake schema, and other dimensional ...

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 and optimize data models using star schema, snowflake schema, and other dimensional ...

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

The successful candidate will leverage statistical modeling, machine learning, predictive analytics ... The salary for this role will range from $91,700 - $163,700 annually based on full-time employment.

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

The successful candidate will leverage statistical modeling, machine learning, predictive analytics ... The salary for this role will range from $91,700 - $163,700 annually based on full-time employment.

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 ... modeling. Strong data consistency and results logic check. Deductive and inductive reasoning ...

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Full Time Remote Data Modeler information

See Minneapolis, MN salary details

$10

$61

$86

How much do full time remote data modeler jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for full time remote data modeler in Minneapolis, MN is $61.28, according to ZipRecruiter salary data. Most workers in this role earn between $54.95 and $71.25 per hour, depending on experience, location, and employer.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Minneapolis, MN?

The most popular types of Remote Data Modeler jobs in Minneapolis, MN are:

What job categories do people searching Full Time Remote Data Modeler jobs in Minneapolis, MN look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Full Time Remote Data Modeler jobs?

Cities near Minneapolis, MN with the most Full Time Remote Data Modeler job openings:

Infographic showing various Full Time Remote Data Modeler job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,472 per year, or $61.3 per hour.

Data Analyst / Data Modeler - Digital Banking

Expleo

Minneapolis, MN • On-site, Remote

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Location: Hybrid (Minneapolis, MN)

Employment Type: Full-Time

Shape Modern Data Foundations Through Analysis & Modeling

Are you a seasoned Data Modeler who excels at understanding complex business processes, analyzing data, and translating requirements into scalable data solutions? Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking who will play a key role in supporting data initiatives within a modern Snowflake-based ecosystem.

While data modeling remains an important component of this role, the primary focus will be partnering with business and technology teams to analyze data, support data quality initiatives, document requirements, and ensure data structures effectively support reporting, analytics, and business outcomes.

For the immediate hiring need, we are prioritizing candidates local to the Minneapolis area. However, exceptional remote candidates will also be considered.

What's in It for You?

• High-Impact Data Work – Support critical digital banking and enterprise data initiatives that influence strategic business decisions

• Business Partnership – Work closely with stakeholders to understand business processes and translate requirements into actionable data solutions

• Modern Technology Stack – Leverage Snowflake and cloud-based data platforms in a mature, enterprise-scale environment

• Strategic Visibility – Contribute to data decisions that influence reporting, analytics, governance, and operational effectiveness

• Balanced Responsibilities – Combine analytical problem-solving with data modeling and governance activities

• Career Growth – Expand your expertise across Snowflake, enterprise analytics, data governance, and cloud-based data platforms

• Collaborative Culture – Join a team focused on data quality, continuous improvement, and delivering business value

Your Role & Responsibilities

You will:

• Analyze business requirements and translate them into scalable data solutions

• Partner with business stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives

• Perform data profiling, discovery, and quality assessments across multiple data domains

• Validate data accuracy and integrity through advanced SQL analysis and testing

• Assist with source-to-target mappings and data lineage documentation

• Identify data anomalies, investigate root causes, and recommend improvements

• Maintain metadata, business definitions, and data dictionaries

• Collaborate with governance teams to support naming standards, data quality processes, and metadata management

• Participate in design reviews, impact assessments, and change-management activities

Skills & Experience You Should Possess

• 10+ years of experience in data modeling, data analysis, data management, or related disciplines

• Strong experience analyzing complex datasets and translating business requirements into data solutions

• Advanced SQL skills for data analysis, validation, and troubleshooting

• Experience performing data profiling, data quality analysis, and data validation

• Familiarity with metadata management, lineage, and data governance practices

• Ability to communicate effectively with both technical and non-technical stakeholders

• Strong analytical, problem-solving, and critical-thinking skills

Bonus Points If You Have

• Banking, Financial Services, or Digital Banking experience

• Python experience for data analysis, profiling, or automation

• Experience working with semi-structured data such as JSON

• Exposure to data cataloging, metadata management, or governance tools

• Experience supporting enterprise cloud data modernization initiatives

Education & Certifications You Need

• Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field

• Data modeling, data governance, or analytics certifications are a plus, but not required

What We Offer

At Trissential, we believe great data work happens when talented people are supported, valued, and empowered. When you join our client's team through Trissential, you gain access to meaningful work, professional growth opportunities, and a comprehensive benefits package.

• Competitive Compensation – You choose the model that works best for you, both with company-sponsored benefits! $155,000-$165,000 annually or $92-$102 per hour, depending on your skills, experience, and location. 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

• Career Development and Advancement – Expleo is a global organization operating across 29 countries with a strong focus on professional growth and development

• Strong Team Culture – Collaborate with experienced professionals who value partnership, innovation, and continuous learning

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

Ready to help shape trusted data that drives better business decisions? Apply today and take the next step in your career as a Data Analyst / Data Modeler - Digital Banking with Trissential