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

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

This includes driving data governance and consistency across systems, enabling effective audience ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

This includes driving data governance and consistency across systems, enabling effective audience ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

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Data Analyst Analyst information

See Springfield, NE salary details

$33.3K

$80.9K

$133.2K

How much do data analyst analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data analyst 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.

What are the top 3 skills for a data analyst?

A data analyst needs strong analytical skills to interpret data accurately, proficiency in tools like Excel, SQL, and data visualization software, and good communication skills to present findings clearly. Technical skills in statistical analysis and data management are also essential for effective performance in the role.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help organizations make informed decisions. They use tools such as Excel, SQL, and data visualization software to interpret data trends and present actionable insights to stakeholders. Data Analysts often work closely with other departments to identify business needs and support strategic planning. Their work is crucial in guiding business strategies, improving processes, and solving complex problems.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or a related field, often supported by a bachelor’s degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

Is a data analyst a high paying job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can earn higher wages, especially in sectors like finance or technology.

How do Data Analysts typically collaborate with other departments within an organization?

Data Analysts frequently work alongside teams from marketing, finance, product, and operations to understand their data needs and deliver actionable insights. They attend cross-functional meetings, clarify requirements, and translate business questions into analytical tasks. Strong communication skills are essential, as Data Analysts must explain technical findings in an accessible way to non-technical stakeholders. This collaborative environment not only broadens their understanding of the business but also helps them identify opportunities for greater impact and career advancement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, operations analysts, and financial analysts. Each type specializes in different areas such as interpreting business needs, developing predictive models, optimizing processes, or analyzing financial data, often using tools like Excel, SQL, and visualization software. The specific focus depends on the industry and organization’s data requirements.
What job categories do people searching Data Analyst Analyst jobs in Springfield, NE look for? The top searched job categories for Data Analyst Analyst jobs in Springfield, NE are:
What cities near Springfield, NE are hiring for Data Analyst Analyst jobs? Cities near Springfield, NE with the most Data Analyst Analyst job openings:
Medical Economist/Health Data Analyst

Medical Economist/Health Data Analyst

Blue Cross and Blue Shield of Nebraska

Omaha, NE • On-site

Full-time

Posted 19 days ago


Blue Cross & Blue Shield Of Nebraska rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

183rd of 281 rated insurance


Job description

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve.
Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there's no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you'll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community.
The ideal candidate will live within driving distance of the Omaha, Nebraska office. This position allows remote flexibility but will have 2-3 days per week in the office.
The Medical Economist (Health Data Analyst III) serves on a highly collaborative Data Analytics team delivering health data analytics and informatics for groups, providers, members, and leadership. As a member of the team, you will act as an analytical subject matter expert in understanding and interpreting the business impacts of healthcare data. Your focus will be on extracting, preparing, analyzing, and interpreting data to provide actionable insights for internal and external stakeholders, while mentoring junior analysts. You will also lead economic modeling and cost-effectiveness analysis to support strategic decision-making and value-based care initiatives.
What You'll Do:
Healthcare Economics and Advanced Data Analytics
  • Provide analytic solutions for enterprise stakeholders via reporting, research, predictive modeling, and BI dashboard development.
  • Develop and maintain models for utilization trends
  • Partner with stakeholders to analyze trends in employer group reporting, provider payment methodologies, and care management analytics.
  • Gather business requirements, extract and prepare data independently, and deliver high-quality analysis for decision support.

Strategic Consulting & Collaboration
  • Serve as a business consultant to multiple areas, leveraging deep understanding of data and operations.
  • Actively participate in brainstorming sessions, design reviews, and quality reviews to ensure best practices in analytics and data strategy.
  • Provide strategic input on data architecture and analytic standards.
  • Lead knowledge-sharing activities and contribute to the Data Integration Community of Practice.
  • Present analyses to internal and external stakeholders, translating complex data into clear, actionable insights.
  • Tell a compelling story with data to influence strategic decisions.

To be considered for this position, you must have:
  • Bachelor's degree in Economics, Statistics, Mathematics, Health Care Management, or related field (Master's preferred).5+ years in healthcare analytics, medical economics, or actuarial analysis.
  • Data Access & Integration: Advanced SQL, ETL/ELT pipelines (Azure Data Factory, dbt), PySpark/Spark SQL.
  • Cloud & Platforms: Azure Synapse, Databricks, SQL Server; Git for version control.
  • Analytics & Econometrics: Python, R, cost-effectiveness analysis, risk adjustment, forecasting.
  • BI & Visualization: Power BI (DAX, Power Query), Databricks Dashboards, dashboard design, KPI development.
  • Data Governance: Data dictionaries, lineage, HIPAA compliance, quality checks.
  • Healthcare Domain Knowledge: Claims data, provider reimbursement models, value-based care, HEDIS/STARS metrics.
  • Mastery of Health Insurance Operations knowledge including claims, enrollment, payment mechanisms, care management, employer reporting and the ability to stay current on healthcare industry knowledge.
  • Successful experience working in a cross-functional environment.
  • Experience effectively communicating with stakeholder groups.

**BCBSNE is unable to sponsor or take over sponsorship of an employment visa at this time**
#LI-DNI
Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.
We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.

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