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Data Analytics Jobs in Springfield, NE (NOW HIRING)

Agile Defense

Data Scientist

Omaha, NE · On-site

Drive Data-Driven Discovery Conduct deep-dive analyses to understand customer behavior, market trends, and business performance Design and execute sophisticated experiments to test business ...

Varsity Tutors

Data Analysis Tutor

Omaha, NE · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Milliman

Strategic Data Partnership Manager

Omaha, NE · Remote

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... MedInsight's data licensing business is one of the fastest-growing, highest-margin businesses ...

Kemper

Senior Data Systems Analyst

Omaha, NE · On-site

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent work experience considered. * 6+ years of experience in one or more of ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Omaha, NE · On-site

$80K - $110K/yr

Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial ...

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All JobsData Analytics JobsData Analytics Jobs in Springfield, NE

Data Analytics information

See Springfield, NE salary details

$24

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Springfield, NE is $53.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $60.72 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Springfield, NE? The most popular types of Data Analytics jobs in Springfield, NE are:
What job categories do people searching Data Analytics jobs in Springfield, NE look for? The top searched job categories for Data Analytics jobs in Springfield, NE are:
What cities near Springfield, NE are hiring for Data Analytics jobs? Cities near Springfield, NE with the most Data Analytics job openings:
Data Analytics jobs near you

Bioinformatics Data Analyst

University of Nebraska Medical Center

Omaha, NE • On-site, Remote

$55K - $83K/yr

Full-time

Posted 27 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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https://unmc.peopleadmin.com/postings/99173

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