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Data Analytics Jobs in Nebraska (NOW HIRING)

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including ...

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including ...

Analytics Engineer

Scottsbluff, NE · On-site

$70K - $75K/yr

Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience * 2+ years in Business Intelligence, Analytics Engineering, or Process Automation * Experience ...

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 ...

Data Analysis Tutor

Lincoln, 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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Data Analytics information

See Nebraska salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Nebraska is $52.20, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $59.13 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 Nebraska? The most popular types of Data Analytics jobs in Nebraska are:
What cities in Nebraska are hiring for Data Analytics jobs? Cities in Nebraska with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Nebraska as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,572 per year, or $52.2 per hour.

Full-time

Posted 8 days ago


Job description

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including custom reporting, business intelligence dashboards, data transformations, and system integrations. The right candidate is execution-focused, intellectually curious, and eager to grow alongside an expanding technology stack. They will bring a strong aptitude for problem-solving, a collaborative mindset, and a genuine interest in using AI tools to work smarter and help the team build more efficient workflows.

RESPONSIBILITIES AND DUTIES:

  1. Evaluate and manage customer requests using internal systems, including the ability to scope, quote, design a solution, and execute on the project plan.
  2. Develop and deliver custom data solutions, including report writing, data extractions, forms customization, business intelligence dashboards, and system integrations.
  3. Use AI tools and assistants as a standard part of daily work to increase efficiency and contribute to the team’s development of AI-assisted workflows and internal tooling
  4. Build proficiency in DMSi’s evolving product and integration ecosystem, including current and emerging platforms.
  5. Develop and maintain an advanced working knowledge of DMSi’s internal support tools and delivery processes.
  6. Assist other DMSi personnel through escalation support, coaching, and training on data-related topics.
  7. Complete documentation related to job responsibilities and contribute to the DMSi Knowledge Base.
  8. Lead, attend, or assist with training for internal personnel, customers, and prospects.
  9. Assist with internal projects to support departmental and organizational objectives.

KNOWLEDGE, SKILLS AND ABILITIES:
Technical: SQL/query proficiency (Cyberquery a plus), BI tools (Power BI, Phocas, Tableau, etc.), ETL/data lineage and database fundamentals (schemas, indexes, keys).
Analytical: Genuine curiosity paired with strong problem-solving, research, and the ability to work independently through ambiguous business challenges.
AI-forward: Comfortable using AI tools (Claude, Copilot) to speed up and improve work quality.
Quality-focused: High attention to detail, diagnoses issues correctly and validates solutions before customers see them.
Technical collaboration: Familiar with integration/automation (Workato or similar), comfortable with code reviews and tools like GitHub.
Execution: Prioritizes well, works under pressure, hits deadlines.
People skills: Communicates clearly, builds relationships across all levels (including customers/vendors), exercises tact and keeps confidentiality.

EDUCATION AND EXPERIENCE:
College degree in Data Science, Computer Information Systems (CIS), Management Information Systems (MIS), Supply Chain Management, Business, or a related discipline preferred; 3-5 years of equivalent work experience in a relevant field will be considered.

WORK ENVIRONMENT AND PHYSICAL DEMANDS:
Normal office environment with use of computers and telephone systems; no unusual physical demands.
Travel as needed, including business air travel and car rental.