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Business Intelligence Analyst Data Analyst Jobs in Nebraska

... Senior Business Intelligence Analyst who is passionate about creating and delivering business ... Design, optimize, and govern complex data extraction and transformation processes across databases ...

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 ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ... Engage in research and study to continuously improve the Firm's reporting and business intelligence ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ... Engage in research and study to continuously improve the Firm's reporting and business intelligence ...

The Data Analyst supports USSTRATCOM/J7 assessment activities through structured data design ... The selected candidate will apply expertise in large, complex datasets, Business Intelligence tools ...

JOBSUMMARY: The Data Analyst, Craftsman supports USSTRATCOM/J7 assessment activities through ... The selected candidate will applyexpertisein large, complex datasets, Business Intelligence tools ...

The Data Analyst, Craftsman supports USSTRATCOM/J7 assessment activities through structured data ... The selected candidate will apply expertise in large, complex datasets, Business Intelligence tools ...

Intelligence Analyst/Reporter

Omaha, NE · On-site

$59K - $106K/yr

Proficiency in data mining and advanced research analysis tools. Join a team committed to ... While subject to change based on business needs, Leidos reasonably anticipates that this job ...

Intelligence Analyst/Reporter

Omaha, NE · On-site

$59K - $106K/yr

Proficiency in data mining and advanced research analysis tools. Join a team committed to ... While subject to change based on business needs, Leidos reasonably anticipates that this job ...

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Business Intelligence Analyst Data Analyst information

What does a business intelligence analyst data analyst do?

A Business Intelligence Analyst Data Analyst collects, processes, and analyzes data to help organizations make informed business decisions. They use various tools and techniques to turn raw data into actionable insights, create reports and dashboards, and identify trends or patterns that can improve business operations. Their work often involves collaborating with different departments to understand data needs and presenting findings to stakeholders in a clear and concise manner.

What are the key skills and qualifications needed to thrive as a business intelligence analyst data analyst?

To thrive as a Business Intelligence Analyst/Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid educational background in fields like statistics, computer science, or business. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and programming languages like Python or R is typically required, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex findings into actionable business insights. These competencies enable you to turn data into strategic decisions, directly impacting organizational performance and growth.

How does a business intelligence analyst data analyst typically collaborate with other departments within an organization?

Business Intelligence and Data Analysts often work closely with teams across the organization, such as marketing, finance, operations, and IT. They gather requirements from stakeholders, translate business needs into data queries, and present actionable insights through reports or dashboards. Effective collaboration involves regular meetings to discuss findings, clarify data definitions, and ensure that analyses align with business objectives. This cross-functional teamwork helps drive data-informed decision-making throughout the company.

What is the difference between Business Intelligence Analyst Data Analyst vs Data Scientist?

AspectBusiness Intelligence AnalystData Scientist
Required CredentialsBachelor's in Business, IT, or related field; certifications like Tableau or Power BIBachelor's or higher in Computer Science, Statistics, or related; advanced degrees often preferred
Work EnvironmentBusiness settings, reporting teams, data visualization toolsResearch labs, tech companies, data modeling environments
Employer & Industry UsageFinance, healthcare, retail, and other industries focusing on reporting and dashboardsTech, finance, healthcare, focusing on predictive modeling and complex data analysis

While both roles analyze data, Business Intelligence Analysts focus on creating reports and dashboards to support business decisions, whereas Data Scientists develop predictive models and advanced algorithms to uncover deeper insights. The roles often overlap but differ mainly in scope and technical complexity.

What are popular job titles related to Business Intelligence Analyst Data Analyst jobs in Nebraska?

For Business Intelligence Analyst Data Analyst jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Business Intelligence Analyst Data Analyst jobs in Nebraska look for?

The top searched job categories for Business Intelligence Analyst Data Analyst jobs in Nebraska are:

What cities in Nebraska are hiring for Business Intelligence Analyst Data Analyst jobs?

Cities in Nebraska with the most Business Intelligence Analyst Data Analyst job openings:

Senior Business Intelligence Analyst

Tenaska

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Job Summary
Tenaska Marketing Ventures (TMV) is seeking a highly analytical and technically skilled Senior Business Intelligence Analyst who is passionate about creating and delivering business intelligence solutions that strengthen reporting, improve transparency, and support data-driven decision making across the organization. This role combines advanced technical expertise with strong commercial understanding to anticipate analytical needs, translate complex or ambiguous business challenges into actionable insights, and deliver scalable, trusted reporting solutions.
Serving as a trusted advisor to TMV leadership, commercial teams, customers, and technical partners, the Senior Analyst helps shape analytical priorities, influences cross-functional decisions, and leads complex reporting and analytics initiatives from concept through delivery. Success in this role requires advanced SQL and reporting-platform expertise, strong knowledge of data architecture and governance, sound business judgement, and the ability to navigate ambiguity, influence stakeholders, and communicate complex information clearly while providing technical direction.
Location: Onsite in Omaha, NE
Essential Job Functions
  • Lead the analysis and interpretation of pricing, customer, performance, benchmarking, and organizational data to identify trends, risks, and opportunities and provide actionable recommendations that inform business decisions and priorities.
  • Serve as a consultative partner to business and technical stakeholders by framing complex or ambiguous needs, challenging assumptions, defining priorities, and translating business requirements into scalable reporting, process, policy, and system solutions.
  • Develop expert knowledge of proprietary system interfaces, workflows, and data dependencies to design reliable methods for extracting, reconciling, integrating, and validating data across systems and resolving complex data-quality and reporting issues.
  • Design, optimize, and govern complex data extraction and transformation processes across databases, data warehouses, and enterprise data platforms to create accurate, reusable, and scalable datasets for reporting and analytics.
  • Lead the development lifecycle for complex, business-critical reporting and business intelligence solutions, establishing technical approaches and ensuring solutions meet performance, security, governance, quality, and stakeholder requirements.
  • Design, optimize, test, document, and review complex SQL queries and data logic used in production reporting and analytical solutions, proactively addressing performance, accuracy, and maintainability issues.
  • Architect, develop, deploy, maintain, and continuously improve business-critical reports and dashboards using Microsoft SQL Server Reporting Services (SSRS), Tableau, and related tools.
  • Lead the identification, validation, and promotion of trusted data into the data warehouse, partnering with business and technical teams to establish quality controls, address data gaps, and support reliable enterprise reporting and analytics.
  • Establish and maintain reporting governance practices for business-critical solutions, including metric definitions, validation controls, data lineage, documentation, access, change management, and ongoing quality monitoring.
  • Manage and prioritize concurrent reporting and analytics initiatives by evaluating business value, technical complexity, dependencies, data risk, and resource constraints; communicate tradeoffs and adjust delivery plans as priorities change.
  • Build trusted partnerships across operations and technical functions to anticipate analytical needs, align priorities, and deliver solutions that improve commercial and operational performance. Develop and deliver role-based training and guidance that enable users to accurately interpret data, effectively use reporting and analytics tools, and responsibly expand self-service analytics.
  • Provide technical direction, constructive feedback, and mentorship to less experienced team members while promoting consistent standards for analysis, development, testing, documentation, and stakeholder delivery.
  • Evaluate emerging technologies, AI-enabled capabilities, and automation opportunities; lead controlled pilots and recommend responsible adoption when solutions improve reporting quality, efficiency, scalability, or business value while meeting security and governance expectations.

Basic Requirements
  • Bachelor's degree in Computer Science, Management Information Systems, Software Engineering, Mathematics, Data Analytics, or a related discipline; equivalent combination of education and relevant experience may be considered.
  • Five or more years of progressive experience in business intelligence, data analytics, reporting, or a related technical field, including independently leading complex analytical projects in dynamic or unstructured environments.
  • Advanced proficiency with MS SQL, with experience designing, optimizing, testing, and troubleshooting complex queries for production reporting and analytical solutions.
  • Experience independently designing, developing, maintaining, and enhancing scalable business intelligence solutions using platforms such as Tableau and SSRS.
  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data analysis, and visualization.
  • Experience evaluating and applying AI-enabled analytics or automation to improve reporting or business processes while maintaining appropriate data quality, security, and governance standards.
  • Strong understanding of commercial and operational needs, with the ability to identify analytical opportunities, translate complex data into actionable insights, and influence cross-functional decisions.
  • Strong communication, interpersonal, and customer service skills, with the ability to build effective relationships, provide a high-level of service, and work with stakeholders at all levels of the organization.
  • Self-motivated and highly organized, with strong documentation skills and keen attention to detail.
  • Ability to work extended hours as necessary to complete time-sensitive work on schedule and at the highest quality
  • Reliable, dependable, and predictable attendance

Preferred Requirements
  • Advanced knowledge of relational database structures, dimensional modeling, data warehousing, data lineage, and data access patterns, with the ability to troubleshoot data quality, performance, and integration issues.
  • Experience with MS SQL Server and modern enterprise data platforms such as Azure or Microsoft Fabric, including tools such as SQL Server Management Studio and SSRS.
  • Experience developing, administering, troubleshooting, and supporting business-critical reporting and data solutions across enterprise environments.
  • Experience providing technical guidance, reviewing analytical work, and mentoring less-experienced team members to promote consistent reporting, documentation, and quality standards.

Employee Benefits
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vision, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Generous sick leave
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.