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Remote Data Analyst Jobs in Springfield, NE (NOW HIRING)

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... A Graduate degree in an analytical field (Math, Stats, CS, BI etc.) and 2+ years of experience in ...

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... Graduate degree in an analytical field (Math, Stats, CS, BI, etc.) and 2+ years of experience ...

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Showing results 1-20

Remote Data Analyst information

See Springfield, NE salary details

$33.3K

$80.9K

$133.2K

How much do remote data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data analyst in Springfield, NE is $80,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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.

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.

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 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 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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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 most commonly searched types of Data Analyst jobs in Springfield, NE? The most popular types of Data Analyst jobs in Springfield, NE are:
What job categories do people searching Remote Data Analyst jobs in Springfield, NE look for? The top searched job categories for Remote Data Analyst jobs in Springfield, NE are:
What cities near Springfield, NE are hiring for Remote Data Analyst jobs? Cities near Springfield, NE with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Springfield, NE as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,909 per year, or $38.9 per hour.

Bioinformatics Data Analyst

University of Nebraska Medical Center

Omaha, NE • On-site, Remote

$55K - $83K/yr

Full-time

Posted 26 days ago


University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

52nd of 1,055 rated hospitals


Job description

Requisition Details
GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location
Omaha, NE
Requisition Number:
Staff_14859
Department
Pharmacology/Exp Neuroscience 50000523
Business Unit
College of Medicine
Reg-Temp
Full-Time Regular
Work Schedule
TBD by Research Needs
Remote/Telecommuting
No remote/telecommuting opportunity
Position Summary
Responsible for providing assistance with bioinformatic analysis and programming support for Omics analysis, which include transcriptomics, proteomics, and metabolomics data analysis. Specifically, involved in Single cell RNA and ATAC seq data analysis, Microbiome analysis and other bioinformatics analysis as needed for the projects to enhancing translational research under the direction of supervisor.
Support spatial profiling analysis (Visium HD, Xenium, CosMx). Ensure data integrity, track metadata, standardize analysis pipelines and provide interpretation of results. This will include carrying out very large-scale sequence data management and analysis procedures in close and writing resulting data for manuscripts/grants.
Also, may perform basic lab techniques such as DNA/RNA isolation, submitting for data/sequencing data/omics data to appropriate resources. Generate publications ready figures, methods sections, and results for manuscripts, presentations, and grant applications. Able to apply machine learning and AI based tools for in silico drug development studies.
Position Details
Additional Information
Posting Category
Research - Non Academic
Working Title
Bioinformatics Data Analyst
Job Title
Data Coordinator L2
Salary Grade
RA22S
Appointment Type
B1 - REG MGR PROF SALARY
Salary Range
$55,400 - $83,100/annual
Job Requisition Begin Date
07/13/2026
Application Review Date
07/20/2026
Review Date Information:
Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.
Required and Preferred Qualifications
Required Education:
Bachelor's degree
If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)
Computer Science, Bioinformatics or related Quantitative/Biomedical Discipline
(Will consider additional related post high school education in lieu of required experience)
Required Experience
2 years
If any experience is required, please specify what kind of experience:
Experience with scientific data analysis, data management to include experience with quantitative/biomedical discipline.
(Will consider additional related post high school education in lieu of required experience)
Required License
No
If yes, what is the required licensure/certification?
Required Computer Applications:
Microsoft Excel, Microsoft Word, Microsoft PowerPoint
Required Other Computer Applications:
Adobe Suite
Required Additional Knowledge, Skills and Abilities:
General experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono)
Preferred Education:
Master's degree or equivalent
If any degree/training is preferred, please specify the type:
Relevant coursework/specialized training or equivalent
Preferred Experience:
Bioinformatics data analysis or related experience
Prefer progress towards or completion of a relevant Master's degree.
Preferred License:
No
If yes, what is the preferred licensure/certification?:
Preferred Computer Applications:
Microsoft Access
Preferred Other Computer Applications:
Preferred Additional Knowledge, Skills and Abilities:
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