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Remote Data Analyst Jobs in Rochester, MN (NOW HIRING)

About Enara Enara is a world renowned obesity and medical weight loss start-up, based in Silicon Valley, pioneering the use of data, digital, and clinical treatments to provide personalized plans

Remote Nutrition Specialist

Rochester, MN Β· On-site +1

$26 - $36/hr

About Enara Enara is a world renowned obesity and medical weight loss start-up, based in Silicon Valley, pioneering the use of data, digital, and clinical treatments to provide personalized plans

About Enara Enara is a world renowned obesity and medical weight loss start-up, based in Silicon Valley, pioneering the use of data, digital, and clinical treatments to provide personalized plans

Risk & Legal Analyst

Rochester, MN Β· On-site +1

$88K - $110K/yr

If you think your skills, experience and aspirations make you a good match for this position, we encourage you to apply. Your initial assignment will be on a 2.0+ million square foot healthcare

Be Seen First

Role : Senior Software Engineer (Java) Location : Remote Role Duration : 12+ Months Contract Role Responsibilities We are seeking a Senior Software Engineer to design and build back-end services that

Biostatistician

Rochester, MN Β· Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Showing results 41-60

Remote Data Analyst information

See Rochester, MN salary details

$34.6K

$84K

$138.2K

How much do remote data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data analyst in Rochester, MN is $84,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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 degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Rochester, MN?

The most popular types of Data Analyst jobs in Rochester, MN are:

What are popular job titles related to Remote Data Analyst jobs in Rochester, MN?

For Remote Data Analyst jobs in Rochester, MN, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Rochester, MN look for?

The top searched job categories for Remote Data Analyst jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Remote Data Analyst jobs?

Cities near Rochester, MN with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Rochester, MN as of September 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,003 per year, or $40.4 per hour.

Senior Database Reliability Engineer

Rochester, MN β€’ Remote

micro1 AI
Software DevelopmentΒ β€’Β 11 - 50 employees

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 13 days ago


Job description

Senior Database Reliability Engineer:


Job Type: Full-time


Location: Remote


Job Summary:

Join our team as a Senior Database Reliability Engineer, where you’ll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL environments. You will leverage your deep technical expertise to drive database reliability, high availability, and performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent opportunity for talented engineers who are passionate about building robust data systems and thrive in collaborative, fast-paced environments.


Key Responsibilities:

β€’ Design, implement, and manage highly available, resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

β€’ Optimize database performance by analyzing query execution plans, tuning indices, and implementing advanced partitioning strategies.

β€’ Ensure disaster recovery readiness through robust backup, replication, and failover processes.

β€’ Diagnose and resolve slow queries, locks, deadlocks, and complex bottlenecks impacting large-scale databases.

β€’ Automate routine maintenance tasks and promote operational excellence across all database environments.

β€’ Collaborate cross-functionally to support new features, data migrations, and ongoing application scaling.

β€’ Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.


Required Skills and Qualifications:

β€’ 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

β€’ Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

β€’ Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability design.

β€’ Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

β€’ Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

β€’ Deep care for clear, proactive written and verbal communication.

β€’ Ability to work independently and collaboratively within a remote team.


Preferred Qualifications:

β€’ Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

β€’ Familiarity with Infrastructure as Code (Terraform), CI/CD pipelines, and cloud-native service environments.

β€’ Exposure to supporting modern data architectures and advanced monitoring tools.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $120,000-$150,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.