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Data Analytics Jobs in Springfield, NE (NOW HIRING)

Bachelor's degree in Computer Science, Information Systems, Data Analytics/Science, or a related field. * Demonstrated experience in data governance, data management, or a closely related discipline ...

Identify opportunities to automate, improve, and scale analytics as the function grows * Contribute to building out the Firm's enterprise data and analytics capabilities over time * Develop and ...

Identify opportunities to automate, improve, and scale analytics as the function grows * Contribute to building out the Firm's enterprise data and analytics capabilities over time * Develop and ...

Position OverviewThe GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense ...

Key Responsibilities Pricing & Insurance Analytics * Support pricing analyses, rate reviews ... Support data science and predictive modeling initiatives through data preparation, feature ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Must be a US Citizen or Green Card Holder to be considered. Summary: We are looking for a highly capable ...

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 ...

Bachelor's degree in Data Analytics, Statistics, Mathematics, Industrial Engineering, Business Analytics, Computer Science, or a related field, or equivalent combination of education, related ...

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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:

Full-time

Re-posted 14 days ago


Job description

Data Governance LEAD
On-site | Omaha, NE or Irving, TX

About the Role

This is a senior leadership opportunity for a data governance practitioner ready to own an enterprise-level function with real organizational visibility. You'll build and scale the governance framework from strategy through day-to-day execution — working hand-in-hand with both business and technology stakeholders to ensure data is trusted, well-cataloged, and accessible. If you've done governance in theory and want to prove it in practice, this is the seat.

What You'll Own

  • Architect and operate the enterprise data governance framework, driving consistency across business units and technology teams.
  • Champion data ownership and stewardship adoption at the domain level — establishing accountability where it often doesn't exist.
  • Lead the data cataloging function, ensuring data assets are discoverable, certified, and actively used.
  • Build out Data Quality Management from the ground up: define critical data elements, set quality rules, implement monitoring, and resolve issues at the root.
  • Oversee data classification and retention compliance in close coordination with Security, Legal, Records Management, and Data Owners.
  • Connect governance priorities to strategic business initiatives — including the organization's AI readiness roadmap.
  • Facilitate governance forums and working groups that drive policy adoption and real decision-making.
  • Advance a data marketplace model where trusted data reaches the right users without friction.
  • Develop and deliver data literacy programs for Owners, Stewards, and end users at all levels.
  • Lead, coach, and grow a team of data governance professionals with a focus on accountability and continuous improvement.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics/Science, or a related field.
  • Demonstrated experience in data governance, data management, or a closely related discipline — with hands-on involvement in cataloging and data quality programs.
  • Proven ability to drive data ownership and stewardship adoption across both business and technology audiences.
  • Strong working knowledge of governance principles: policies, cataloging frameworks, and data quality standards.

Preferred Qualifications

  • Master's degree in Computer Science, Information Systems, or Data Analytics/Science.
  • Certification in data governance, data quality, or data management (CDMP, DAMA, or equivalent).
  • Direct experience leading enterprise-level data governance programs.
  • Hands-on experience with data catalog platforms such as Collibra, Atlan, or data.world; familiarity with data quality tooling a plus.
  • Background in regulated or data-intensive industries (energy, financial services, healthcare); experience with classification, retention, and compliance frameworks preferred.