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Data Analyst Data Science Jobs in Nebraska (NOW HIRING)

Data Analyst

Omaha, NE ยท On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Data Science Tutor

Lincoln, NE ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Omaha, NE ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Required : โ€ข A bachelor's degree or higher in Data Science, Computer Science, Data Analytics, Business Analytics, Management Information Systems, Statistics, Applied Mathematics, Applied Physics ...

New

Analyzing data that is collected in our current and future products and services, Develop ... QUALIFICATIONS: โ€ข Completed Post Secondary Degree in Data Science, Mathematics or Statistics ...

The selected candidate will apply advanced data science methodologies to integrate, analyze, and exploit multi-intelligence (multi-INT) data sources in support of mission-critical objectives. This ...

The selected candidate will apply advanced data science methodologies to integrate, analyze, and exploit multi-intelligence (multi-INT) data sources in support of mission-critical objectives. This ...

Data Scientist

Omaha, NE ยท On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Data Scientist

Omaha, NE ยท On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Sandhills Global is seeking a Data Scientist to analyze data from current and future products and services. The role involves developing statistical and machine learning models, visualizing insights ...

Data Analyst

Omaha, NE ยท On-site

Leidos is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) decision-making, strategic planning, and assessment activities through the collection, management ...

Data Analyst

Omaha, NE ยท On-site

Leidos is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) decision-making, strategic planning, and assessment activities through the collection, management ...

Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience. * Experience leveraging tools for ETL and data wrangling.

Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience. * Experience leveraging tools for ETL and data wrangling.

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. * Ensure compliance with all security protocols, classification guidelines, and ...

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. * Ensure compliance with all security protocols, classification guidelines, and ...

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. * Ensure compliance with all security protocols, classification guidelines, and ...

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Data Analyst Data Science information

See Nebraska salary details

$12

$34

$58

How much do data analyst data science jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data analyst data science in Nebraska is $34.10, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $41.35 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Nebraska? For Data Analyst Data Science jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Nebraska look for? The top searched job categories for Data Analyst Data Science jobs in Nebraska are:
What cities in Nebraska are hiring for Data Analyst Data Science jobs? Cities in Nebraska with the most Data Analyst Data Science job openings:
Data Analyst

Full-time

Posted 10 days ago


Job description

Our client is looking Data Analyst for Long term project in Omaha, NE (Onsite) Below is the detail requirement.
Job Title: Data Analyst
Location: Omaha, NE (Onsite)
Job Description:
  • Senior Data Analyst responsible for leading reporting and analytics initiatives across operations, with a focus on scalable reporting, operational insights, and data-driven decision-making.
  • Design and build end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analysis aligned with business requirements.
  • Partner with cross-functional stakeholders (Operations, DQAS, OPCC, Technology teams) to define reporting requirements, KPIs, and success metrics.
  • Develop, maintain, and optimize data models and data pipelines to support accurate and reliable reporting solutions.
  • Analyze large and complex datasets to identify trends, anomalies, performance gaps, and opportunities for operational improvement.
  • Own data quality validation processes and ensure the accuracy, consistency, and integrity of reporting outputs.
  • Translate complex datasets and analytical findings into clear, actionable insights for business and leadership teams.
  • Drive reporting standardization and automation initiatives to improve efficiency and reduce manual effort.
  • Support incident and operational analysis through data-driven root cause investigations and reporting.
  • Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization, and performance improvements.

Required Technical Skills
  • Strong SQL expertise, including complex joins, query optimization, performance tuning, and data validation.
  • Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
  • Proficiency in data analysis, data wrangling, and automation using Python and/or R.
  • Experience working with large-scale datasets, data warehouses, and cloud data platforms such as Snowflake, Azure, and Hadoop.
  • Strong understanding of ETL/ELT processes, data integration, and data modeling concepts.
  • Advanced Microsoft Excel skills for reporting, validation, and ad-hoc analysis.
  • Experience implementing and maintaining data quality frameworks and validation methodologies.

Preferred Skills
  • Experience supporting operational and real-time reporting environments.
  • Familiarity with railroad, logistics, transportation, or similar operational datasets.
  • Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks.
  • Understanding of event-driven architectures, streaming data, and real-time analytics.

Soft Skills
  • Strong stakeholder communication skills with the ability to translate technical findings into business value and impact.
  • Ability to work effectively across business and technology teams without direct authority.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Self-motivated and capable of operating in fast-paced, ambiguous, and evolving environments.

Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical roles.
  • Proven experience designing and delivering enterprise-scale reporting and analytics solutions.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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