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Statistician Jobs in Nebraska (NOW HIRING)

Senior Data Analyst

Lincoln, NE ยท On-site

$85 - $110/hr

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. * Master's degree preferred. * 3+ years of experience in an analytical role such as ...

Working knowledge of statistical analysis software and basic programming concepts. * Knowledge of commercial automobile and property insurance coverages, endorsements, rating methodologies, and ...

This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and ...

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post bachelor experience performing statistical and actuarial analysis on commercial insurance Or Graduate degree in ...

Senior Data Analyst

Papillion, NE ยท On-site

$79K - $100K/yr

Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions. * Stakeholder Engagement & Relationship Management:

Senior Data Analyst

La Vista, NE ยท On-site

$80K - $101K/yr

Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions. * Stakeholder Engagement & Relationship Management:

Showing results 41-60

Statistician information

See Nebraska salary details

$48.1K

$82.9K

$111.1K

How much do statistician jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistician in Nebraska is $82,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $93,900.00 per year, depending on experience, location, and employer.

What does a statistician do?

A statistician collects, analyzes, and interprets data to help solve real-world problems in fields such as business, healthcare, government, and science. They design surveys, experiments, or opinion polls to gather data, and then use mathematical techniques and statistical software to interpret their findings. Statisticians play a vital role in decision-making processes by providing accurate data analysis and insights, which can be used to inform policy, optimize processes, or improve products and services.

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

To thrive as a Statistician, you need strong analytical skills, a solid background in mathematics and statistics, and at least a bachelor's degree in a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data analysis tools are typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting results and conveying findings to diverse audiences. These skills ensure accurate data-driven insights and support informed decision-making in various industries.

What are some common challenges statisticians face when working with large datasets, and how are these typically addressed?

Statisticians often encounter challenges such as data quality issues, missing values, and computational limitations when working with large datasets. To address these, they use data cleaning techniques, employ imputation methods for missing data, and leverage specialized statistical software or programming languages like R and Python for efficient data processing. Collaborating closely with data engineers and subject matter experts is also critical to ensure that the data is both accurate and relevant for analysis. Staying updated on best practices and new tools helps statisticians manage these challenges effectively.

Are statisticians still in demand?

Statisticians are currently in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis and decision-making. Strong skills in statistical software, programming, and data interpretation enhance job prospects in this field.

Is a statistician a high paying job?

Statisticians typically earn higher-than-average salaries compared to many other professions, with median annual wages often exceeding national averages. Factors such as experience, education level, industry, and geographic location influence earning potential, and advanced skills in statistical software and data analysis can lead to higher pay.

What are the most commonly searched types of Statistician jobs in Nebraska?

The most popular types of Statistician jobs in Nebraska are:

What are popular job titles related to Statistician jobs in Nebraska?

For Statistician jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for Statistician jobs?

Cities in Nebraska with the most Statistician job openings:

Infographic showing various Statistician job openings in Nebraska as of August 2026, with employment types broken down into 44% Full Time, and 56% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,875 per year, or $39.8 per hour.

Sr Analyst, Credit Risk (Onsite in Omaha, NE)

Firstnational

Omaha, NE โ€ข On-site

$81K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 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 Senior Analyst serves as a key technical expert within the bank's credit risk management function, providing advanced analytical support and insights to drive informed credit decisions. This experienced professional conducts in-depth analysis of credit portfolios, develops and enhances risk models, including consumer bank loss forecasting models and produces comprehensive reporting to support risk management strategies. The position requires strong analytical capabilities combined with business acumen to translate complex credit data into actionable recommendations. The Senior Analyst works with minimal supervision while providing guidance to junior team members, serving as a bridge between technical analysis and practical business application in credit risk management.

About This Role:

We are unable to sponsor candidates today or in the future. H1b, OPT etc.

Major responsibilities:

  • Develop executive dashboards highlighting key credit card risk metrics and communicate card portfolio insights to risk committees, marketing, finance teams and strategy forums among others.

  • Analyze customer acquisition channels and partners to optimize risk-adjusted returns and create early warning indicators for detecting deteriorating credit quality.

  • Comprehensive analysis of credit card portfolio performance metrics including delinquency, charge-off, and utilization patterns.

  • Analyze customer-level behavior including transactor/revolver patterns and payment behaviors and evaluate risk-adjusted returns across card products, segments, and acquisition channels

  • Perform statistical analyses to identify data trends and relationships and develop and maintain credit risk forecasting models. Apply time series analysis, survival analysis, and other modeling techniques to develop credit loss forecasting models.

  • Document developed models according to the model risk policies. Communicate statistical analyses and forecast results, working with cross-functional areas, to ensure successful implementation.

  • Work with Finance to provide loss forecasts for marketing planning, portfolio purchases, and reserve for bad debt and portfolio stress testing, while ensuring applicability, efficiency, and accuracy of underlying statistical models and methodologies utilized.

Knowledge & Skills

  • Knowledge of consumer and/or small business card

  • Understanding statistical techniques and modeling

  • Knowledge of loss forecasting methods

  • Ability to work independently with data to identify complex business trends and propose solutions.

  • SQL, Python, SAS and PowerBI

The Ideal Candidate for This Role:

Education and Experience

  • Bachelor's degree in quantitative fields such as Math, Physics, Statistics, engineering, Computer Science required. Advanced degree preferred

  • 3+ years of experience in Credit management or Credit Risk Forecasting or other highly analytical business field.

  • Proven ability to work collaboratively within a cross-functional team environment.

  • Ability to present recommendations and influence senior management.

  • Demonstrate excellent oral and written communication skills.

  • Demonstrate ability to handle stress, meet deadlines and work independently.

Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation:

Compensation range (base pay): $81,662.00-$134,741.00

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-20261300

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.