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Assistant Data Analyst Jobs in Nebraska (NOW HIRING)

Systems Planning and Analysis

Operations Research Analyst

NE · On-site

$93K - $110K/yr

Conduct data collection, specification reviews, and validation activities to ensure accuracy and ... off studies. * Assist in the preparation of deliverables, including technical reports ...

New

Systems Planning and Analysis

Operations Research Analyst

NE · On-site

$93K - $110K/yr

Conduct data collection, specification reviews, and validation activities to ensure accuracy and ... off studies. * Assist in the preparation of deliverables, including technical reports ...

New

Pacificlife

Senior Actuary (FSA) - Data Steward

Omaha, NE

$64.25 - $86/hr

Analysis & Insights * Conduct exploratory data analyses on both input and output data. * Provide insights and decision support to actuarial, finance, and business teams. * Assist with reporting ...

Nationalindemnity

Client Services Analyst I

Omaha, NE · Hybrid

The Client Services Analyst provides customers technology support for company products, including ... processes, data quality, workflow efficiency, and operational effectiveness. * Assist with ...

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All JobsData Analyst JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Nebraska

Assistant Data Analyst information

See Nebraska salary details

$26.7K

$68.3K

$130.6K

How much do assistant data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for assistant data analyst in Nebraska is $68,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $79,600.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Nebraska? The most popular types of Data Analyst jobs in Nebraska are:
What are popular job titles related to Assistant Data Analyst jobs in Nebraska? For Assistant Data Analyst jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analyst jobs in Nebraska look for? The top searched job categories for Assistant Data Analyst jobs in Nebraska are:
What cities in Nebraska are hiring for Assistant Data Analyst jobs? Cities in Nebraska with the most Assistant Data Analyst job openings:
Assistant Data Analyst jobs near you
Infographic showing various Assistant Data Analyst job openings in Nebraska as of July 2026, with employment types broken down into 1% Internship, 82% Full Time, 9% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,337 per year, or $32.9 per hour.

AI & Data Intelligence Supervisor

Pinnacle Bank/Bank of Colorado

Gretna, NE • On-site

Full-time

Re-posted 15 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.