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Remote Neuroimaging Data Analyst Jobs in Minnesota

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.

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 ...

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 ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

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Remote Neuroimaging Data Analyst information

What is a remote neuroimaging data analyst?

A Remote Neuroimaging Data Analyst is a professional who analyzes brain imaging data, such as MRI or CT scans, from a remote location using specialized software and statistical tools. Their work involves preprocessing, quality control, and extracting meaningful information from neuroimaging datasets for research or clinical purposes. They collaborate with neuroscientists, clinicians, and research teams, often using advanced computational methods to interpret complex brain images. Working remotely allows them to access and process data from various institutions without being physically present in a lab or hospital.

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

To thrive as a Remote Neuroimaging Data Analyst, you need a solid background in neuroscience, statistics, and computer science, often supported by a relevant degree such as neuroscience, psychology, or biomedical engineering. Familiarity with neuroimaging software (e.g., SPM, FSL, AFNI), programming languages like Python or MATLAB, and experience with data analysis tools are typically required. Attention to detail, problem-solving abilities, and strong communication are key soft skills for interpreting complex data and collaborating with research teams remotely. These skills ensure accurate analysis, meaningful scientific insights, and effective teamwork in distributed research environments.

What are some common challenges faced by remote neuroimaging data analysts, and how can they be addressed?

Remote Neuroimaging Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data security and privacy, and maintaining clear communication with multidisciplinary teams. Working remotely can add complexity to collaboration, so utilizing reliable project management tools and regularly scheduled virtual meetings is essential. Staying updated on the latest neuroimaging software and analysis techniques, as well as adhering to strict data governance protocols, can help overcome these hurdles and ensure high-quality results.

What is the difference between Remote Neuroimaging Data Analyst vs Remote MRI Data Technician?

AspectRemote Neuroimaging Data Analyst
CredentialsBachelor's or Master's in Neuroscience, Psychology, or related fields; experience with neuroimaging software
Work EnvironmentPrimarily remote, analyzing neuroimaging data, creating reports, and interpreting results
Employer & IndustryResearch institutions, healthcare, biotech companies, universities
Common TasksData processing, statistical analysis, report writing, data visualization

While both roles involve neuroimaging, the Remote Neuroimaging Data Analyst focuses on analyzing and interpreting neuroimaging data remotely, whereas the Remote MRI Data Technician typically handles data acquisition and equipment operation on-site. The analyst role emphasizes data analysis skills and software proficiency, making it more research and report-oriented, while the technician role is more technical and equipment-focused.

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

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

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

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

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

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

Infographic showing various Remote Neuroimaging Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst / Data Modeler - Digital Banking

Expleo

Minneapolis, MN • On-site, Remote

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Overview

Location: Minneapolis, MN Preferred (Remote Considered for Exceptional Candidates)

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

Employment Type: OTHER