1

Amazon Data Analyst Jobs in Nebraska (NOW HIRING)

... data-driven decisions and analytical problem-solving. Our Operation's workflow has three major ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

... and data integrations. * Lead root cause analysis efforts and drive corrective and preventive ... Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks ...

next page

Showing results 1-20

Amazon Data Analyst information

See Nebraska salary details

$32.4K

$78.8K

$129.7K

How much do amazon data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for amazon data analyst in Nebraska is $78,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $92,500.00 per year, depending on experience, location, and employer.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Nebraska?

The most popular types of Amazon Data Analyst jobs in Nebraska are:

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

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

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

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

Infographic showing various Amazon Data Analyst job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,793 per year, or $37.9 per hour.

Analyst II, Banking Automation Engineer

Omaha, NE

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago


Job description

At FNBO, our employees are the heart of our story-and we're committed to their success! Please see below the details of this career opportunity and how it fits into our organization's success.

Summary of the Job:

The Banking Automation Engineer is responsible for designing, building, and maintaining automated solutions that improve efficiency, reduce manual processes, and enhance operational accuracy across key banking functions such as Risk, Operations, Finance, and Treasury.
This role develops automation solutions using Python, RPA tools, and cloud-based technologies, including services within Amazon Web Services (AWS), to support scalable and production-ready workflows. The Banking Automation Engineer partners with Senior Banking Automation Engineers and cross-functional teams to deliver reliable automation solutions that integrate with enterprise data platforms and reporting tools.
The ideal candidate combines technical skills with a process improvement mindset and has a foundational understanding of how to leverage cloud environments to build resilient, maintainable automation solutions within a regulated banking environment.

About This Role:

Job Responsibilities

  • Design, develop, and implement automation solutions using Python, RPA tools (e.g., Blue Prism), and workflow platforms
  • Build automation scripts to support data processing, reporting workflows, and operational processes
  • Translate defined requirements into efficient, scalable, and maintainable automation solutions
  • Develop and deploy automation workflows using services within Amazon Web Services (AWS)
  • Utilize AWS services such as:
    • Compute (e.g., Lambda, EC2) for running automation processes
    • Storage (e.g., S3) for handling input/output data
    • Scheduling and orchestration (e.g., EventBridge, Step Functions)
  • Support secure access and integration with internal systems while adhering to enterprise security and compliance standards
  • Identify opportunities to eliminate manual, repetitive tasks across reporting and operational processes
  • Partner with Senior Banking Automation Engineers and stakeholders to improve process design prior to automation
  • Test automation solutions to ensure accuracy, completeness, and reliability
  • Validate outputs against source systems and business expectations
  • Support deployment of automation solutions into production environments (including AWS-based deployments) and monitor performance
  • Work with structured data using SQL and cloud platforms such as Snowflake
  • Document automation logic, workflows, and AWS architecture for maintainability and auditability
  • Follow established coding standards, naming conventions, and version control practices
  • Ensure compliance with internal controls, audit requirements, and regulatory expectations
  • Work closely with Senior Banking Automation Engineers, Data Analysts, and Data Engineers to support end-to-end solutions
  • Participate in intake and discovery processes to understand automation requirements
  • Provide support and troubleshooting for existing automation processes

The Ideal Candidate for This Role:

Knowledge, Skills and Abilities

  • Foundational understanding of automation concepts, including scripting, RPA, and workflow automation
  • Basic understanding of cloud computing concepts, particularly within Amazon Web Services (AWS)
  • Understanding of data structures, relational databases, and data processing concepts
  • Proficiency in Python for automation, data processing, and scripting
  • Experience or exposure to RPA tools such as Blue Prism
  • Basic to intermediate SQL skills for querying and validating data
  • Ability to work with AWS services such as:
    • Lambda, S3, EC2, or similar cloud services
  • Strong problem-solving skills with attention to detail and accuracy
  • Ability to debug, troubleshoot, and optimize automation workflows
  • Ability to translate requirements into scalable automation solutions (local and cloud-based)
  • Ability to follow structured development, testing, and deployment processes
  • Ability to manage multiple tasks and meet deadlines in a fast-paced environment
  • Ability to collaborate effectively with technical and non-technical stakeholders
  • Strong willingness to learn and adapt to new tools, technologies, and cloud platforms

Required

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field
  • 1-3+ years of experience in automation, data processing, or software development
  • Experience with Python or similar programming languages
  • Basic experience with SQL and relational databases
  • Foundational experience or exposure to Amazon Web Services (AWS) or similar cloud platforms

Desired

  • Hands-on experience deploying automation solutions in Amazon Web Services (AWS)
  • Experience with RPA tools such as Blue Prism
  • Familiarity with cloud data platforms such as Snowflake
  • Experience with workflow orchestration or scheduling tools
  • Familiarity with version control systems (e.g., Git)
  • Experience working in banking, financial services, or regulated environments
Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation:

Compensation range (base pay): $63,288.00-$104,425.00

This role may have a specific starting pay within this range.

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Work Environment:

It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, you'll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:

  • Medical, Dental, Vision Insurance

  • 401k, With Matching Contributions

  • Time Off Programs

  • Health Savings Account (HSA)/Dependent Care

  • Employee Banking

  • Growth Opportunities

  • Tuition Assistance

  • Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.

For additional information regarding compensation and benefits, e-mail FNBO at TAGAdmin@fnni.com. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.

Job number: R-20261143

Equal Opportunity & Belonging:

FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves-no matter their role or where they are in their journey.

Learn more here.

FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.

Click here to download 'EEO is The Law' Self-Print Poster

Click here to download 'EEO is The Law' Supplement for Federal Contractors

Click here to download 'EEO is The Law' GINA Supplement

FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC

FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)

Application Deadline:

All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.