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Data Intelligence Jobs in Nebraska (NOW HIRING)

Leidos

Intelligence Analyst/Reporter

Omaha, NE · On-site

$59K - $106K/yr

At Leidos, we're seeking motivated Intelligence Analyst/Reporters to join our dynamic, high ... Proficiency in data mining and advanced research analysis tools. Join a team committed to ...

Leidos

Intelligence Analyst/Reporter

Omaha, NE · On-site

$59K - $106K/yr

At Leidos, we're seeking motivated Intelligence Analyst/Reporters to join our dynamic, high ... Proficiency in data mining and advanced research analysis tools. Join a team committed to ...

Pae

Intelligence Program Manager - Expert

Omaha, NE · On-site

We are seeking an Expert-Level Intelligence Program Manager to lead Intelligence Community ... data link and network modernization (COTS/GOTS solutions) * Develop innovative workflows, TTPs, and ...

CSAA

Maintain and use Threat Intelligence Platforms (TIP) and related tools to support intelligence operations, including ingestion, enrichment, tagging, and data quality * Integrate intelligence across ...

Leidos

Data Analyst

Omaha, NE · On-site

Python, R, Business Intelligence (BI) tools, Data cleaning, transformation, and wrangling ... techniques * Proficiency in Structured Query Language (SQL) database management and querying.

Leidos

Data Analyst

Omaha, NE

Python, R, Business Intelligence (BI) tools, Data cleaning, transformation, and wrangling ... techniques * Proficiency in Structured Query Language (SQL) database management and querying.

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Data Intelligence information

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into this field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications. Employers value experience and analytical ability regardless of age.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and visualization software. AI complements rather than replaces the human element in data analysis roles.

What is a Data Intelligence job?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What does data intelligence do?

Data intelligence involves analyzing large volumes of data to extract meaningful insights that support decision-making. Professionals in this field use tools like data visualization, statistical analysis, and machine learning to identify patterns, trends, and opportunities within data sets. They often work with data management platforms and require skills in programming, data analysis, and critical thinking.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Managers, Data Architects, and Chief Data Officers, with salaries often exceeding six figures. These positions require advanced skills in machine learning, data modeling, and leadership, and they usually involve overseeing large data teams and strategic initiatives.

What are the typical daily responsibilities of a Data Intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

What are the key skills and qualifications needed to thrive in the Data Intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

What are popular job titles related to Data Intelligence jobs in Nebraska? For Data Intelligence jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Intelligence jobs in Nebraska look for? The top searched job categories for Data Intelligence jobs in Nebraska are:
Data Intelligence jobs near you
Infographic showing various Data Intelligence job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI & Data Intelligence Supervisor

Pinnacle Bank/Bank of Colorado

Gretna, NE

Full-time

Posted 23 days ago

Job description

Description
GENERAL SUMMARY:
Leads the design, governance, and evolution of the organization’s enterprise data and AI ecosystem. This role is accountable for establishing a single source of truth for enterprise data, enabling scalable analytics, and ensuring responsible adoption of AI-driven decision systems.
 
RESPONSIBILITIES AND DUTIES:
  • Architect, develop, and maintain data platform, including data pipelines, storage, structure, and access. 
  • Support the creation and maintenance of standardized datasets for business use.
  • Monitor data quality and address data integrity issues
  • Maintain documentation related to data definitions, lineage, and reporting processes
  • Support governance and oversight of AI tools and solutions used for decision-making
  • Ensure AI use aligns with company policies, regulatory expectations, and risk guidelines
  • Assist in evaluating and documenting AI-related use cases and controls
  • Oversee data conversions, migrations, and ensure high data quality.
  • Supervise and provide direction to assigned team members, including workload management and performance oversight
  • Work with internal departments to understand data and reporting needs
  • Coordinate with Business Automation and 365 Operations teams to ensure alignment and proper ownership of requests
  • Participate in intake, prioritization, and tracking of data-related requests
  • Evaluate and recommend new technologies, tools, and best practices.
  • Perform other duties as assigned.
  • Regular and reliable attendance.
  • Regularly exercising independent judgement and discretion over matters of significance. 
  • Communicate effectively in-person and otherwise with all coworkers and customers, both during regular business hours and before and after regular business hours, if necessary. 
  • Effective communication and collaboration are essential for this role. While remote work may be available periodically, there are times when being in the office is necessary to maintain our collaborative efforts. Therefore, this position cannot be primarily performed remotely.
 
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Advanced proficiency in SQL and Snowflake.
  • Knowledge of data governance, reporting processes, and data quality practices.
  • Strong attention to detail and data accuracy.
  • Strong leadership, mentoring, and project management skills.
  • Ability to manage and prioritize multiple complex projects.
  • Problem-solving and analytical thinking.
  • Ability to document processes and maintain organized records.
  • Excellent communication and decision-making abilities.
 
EDUCATION AND EXPERIENCE:

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, or related field.
  • 3–5 years of experience in data, reporting, or analytics roles.
  • 1–2 years of supervisory or team lead experience.
  • Experience working with databases, SQL and Snowflake.
  • Experience with AI or automated decision tools. 
  • Experience in a financial institution preferred.

 
PHYSICAL REQUIREMENTS:
 
NOTE:   The statements herein are intended to describe the general nature and level, or work being performed by employees assigned to this classification.  They are not intended to be an exhaustive list of all responsibilities, duties, and skills, require of personnel so classified

More Details
Position is located in Gretna, NE and will not be a remote position.Â