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Remote Social Work Data Analyst Jobs in Minnesota

Data Analyst III

Minneapolis, MN Β· On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... work. Remote roles will also have the opportunity to come together in our offices for moments that ...

Skilled at breaking down case conceptualization, intervention planning, and policy analysis for social work practice. Guides students through conducting biopsychosocial assessments, developing ...

Skilled at breaking down case conceptualization, intervention planning, and policy analysis for social work practice. Guides students through conducting biopsychosocial assessments, developing ...

Social Work Tutor

Edina, MN Β· Remote

$40/hr

Skilled at breaking down case conceptualization, intervention planning, and policy analysis for social work practice. Guides students through conducting biopsychosocial assessments, developing ...

Sr Data Analyst

Eden Prairie, MN Β· On-site +1

$22 - $40/hr

This role offers the opportunity to work on meaningful data warehousing and integration initiatives ... Collaborate with data, analytics, and governance partners to support enterprise information ...

Data Intelligence Analyst

Eagan, MN Β· On-site +1

$22 - $46/hr

Work with APIs and JSON-based data flows to connect enterprise systems and support analytics integrations. * Perform data quality, governance, and metadata assessments to help ensure reliable and ...

Power BI Data Engineer

Minneapolis, MN Β· 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 Β· 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 Β· 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 ...

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Remote Social Work Data Analyst information

What is a remote social work data analyst?

A Remote Social Work Data Analyst is a professional who collects, analyzes, and interprets data related to social work programs and services, while working from a remote location. They use statistical tools and software to evaluate the effectiveness of social programs, identify trends, and help organizations make data-driven decisions to improve outcomes for clients. Their work supports social workers and agencies in measuring the impact of interventions and in securing funding or resources. Remote data analysts collaborate with teams via digital platforms and must ensure data confidentiality and ethical standards are maintained.

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

A Remote Social Work Data Analyst requires strong analytical skills, knowledge of social work principles, and a relevant degree such as social work, statistics, or data science. Familiarity with data analysis tools like Excel, SPSS, or Tableau and experience with case management or social services databases are typically expected. Attention to detail, effective communication, and the ability to work independently are standout soft skills for this role. These competencies are essential to accurately interpret data, inform better decision-making, and support impactful social work interventions from a remote setting.

What are some typical challenges faced by remote social work data analysts and how can they be addressed?

Remote Social Work Data Analysts often face challenges such as coordinating with multidisciplinary teams across different locations, ensuring data privacy and security, and interpreting complex social work datasets accurately. To address these, it’s important to establish clear communication channels, stay updated on data compliance regulations, and regularly participate in virtual team meetings. Utilizing collaborative data platforms and project management tools can also enhance workflow efficiency and foster team cohesion, even when working remotely.

What is the difference between Remote Social Work Data Analyst vs Remote Social Worker?

AspectRemote Social Work Data AnalystRemote Social Worker
Required CredentialsBachelor's or Master's in Social Work, Data Analysis certificationsBachelor's or Master's in Social Work, State licensure
Work EnvironmentData-focused, analytical tasks, remote settingsClient interaction, counseling, case management, remote or in-person
Employer & IndustryHealthcare, government, research organizationsNonprofits, healthcare, government agencies
Search & Comparison IntentUnderstanding data analysis roles in social workProviding direct client support and services

The main difference is that Remote Social Work Data Analysts focus on analyzing social work data to inform decisions, while Remote Social Workers provide direct client services. Both roles may be remote but serve different functions within the social services industry.

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

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

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

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

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

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

Infographic showing various Remote Social Work Data Analyst job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 51% Full Time, and 47% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst / Data Modeler - Digital Banking

Minneapolis, MN β€’ On-site, Remote

Expleo
IT ServicesΒ β€’Β 10K+ employees

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Overview

Location: Remote within USA with travel at least once a month to 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

Employment Type: OTHER