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Remote Sports Data Analyst Jobs in Minnesota (NOW HIRING)

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 Product Manager

Saint Paul, MN · On-site +1

$89 - $95/hr

Location: Fully Remote (Must be located within the United States) Client Location: St. Paul ... Work alongside data engineers, architects, analysts, scientists, and business leaders to drive ...

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 ... Work alongside data engineers, architects, analysts, scientists, and business leaders to drive ...

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 ... Work alongside data engineers, architects, analysts, scientists, and business leaders to drive ...

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Remote Sports Data Analyst information

What does a remote sports data analyst do?

A Remote Sports Data Analyst collects, processes, and interprets data related to sports events, teams, and athletes, all while working from a remote location. They use statistical tools and software to analyze game results, player performance, and other metrics to provide meaningful insights. These insights can help teams improve strategies, support media coverage, or assist betting companies. The role requires strong analytical skills, proficiency in data analysis software, and a deep understanding of sports. Remote Sports Data Analysts often present their findings through reports, dashboards, or visualizations for stakeholders.

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

To thrive as a Remote Sports Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in mathematics, statistics, or data science. Familiarity with data analysis tools such as Python, R, SQL, and sports analytics software, along with experience in data visualization platforms like Tableau, is typically required. Exceptional attention to detail, clear communication, and the ability to work independently are standout soft skills for this remote role. These skills are essential for accurately interpreting sports data, delivering actionable insights, and effectively collaborating with teams from a distance.

How do remote sports data analysts effectively collaborate with team members despite working from different locations?

Remote Sports Data Analysts typically use a variety of digital tools—such as project management platforms, instant messaging apps, and video conferencing software—to stay connected with colleagues. Regular virtual meetings and shared dashboards ensure that data insights are communicated clearly and deadlines are met. Collaboration often involves working closely with coaches, scouts, and other analysts to interpret data and provide actionable recommendations. Establishing strong communication habits and being proactive in sharing updates are key to overcoming the challenges of remote teamwork.

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

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

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

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

Infographic showing various Remote Sports Data Analyst job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Analyst / Data Modeler - Digital Banking

Minneapolis, MN • On-site, Remote

Expleo
IT Services • 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