1

Data Analysis Manager Jobs in Nebraska (NOW HIRING)

Senior Data Analyst

Seward, NE · On-site

$79K - $100K/yr

Data Analysis & Insight Generation: * Conduct in-depth data analysis using various tools and ... Manage expectations and communicate progress, challenges, and outcomes effectively. * Tooling ...

Senior Data Analyst

Omaha, NE

$82K - $103K/yr

Data Analysis & Insight Generation: * Conduct in-depth data analysis using various tools and ... Manage expectations and communicate progress, challenges, and outcomes effectively. * Tooling ...

Senior Data Analyst

Grand Island, NE · On-site

$85K - $108K/yr

Data Analysis & Insight Generation: * Conduct in-depth data analysis using various tools and ... Manage expectations and communicate progress, challenges, and outcomes effectively. * Tooling ...

... management, and in-depth analysis of large, complex datasets. • Demonstrated ability to lead projects. • Expertise in the following: Python, R, Business Intelligence tools and data cleaning and ...

... management, analysis, and visualization of complex data at Offutt Air Force Base. This position is responsible for transforming large and diverse datasets into actionable insights that inform senior ...

... management, analysis, and visualization of complex data at Offutt Air Force Base. This position is responsible for transforming large and diverse datasets into actionable insights that inform senior ...

Key ResponsibilitiesData Analysis & Reporting * Extract, analyze, and validate data from Epic ... Ability to work independently while managing multiple priorities and deadlines. Preferred ...

New

Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices. * Trouble shoot issues, suggest alternative approaches or controls to ...

Production Incident and Problem Management * Investigate production data incidents and quality issues. * Perform root cause analysis and identify corrective and preventive actions. * Partner with ...

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities.

Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities.

next page

Showing results 1-20

Data Analysis Manager information

See Nebraska salary details

$21.5K

$84.5K

$137.3K

How much do data analysis manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analysis manager in Nebraska is $84,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $103,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Nebraska? The most popular types of Data Analysis jobs in Nebraska are:
What are popular job titles related to Data Analysis Manager jobs in Nebraska? For Data Analysis Manager jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Data Analysis Manager jobs? Cities in Nebraska with the most Data Analysis Manager job openings:
Infographic showing various Data Analysis Manager job openings in Nebraska as of July 2026, with employment types broken down into 81% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $84,537 per year, or $40.6 per hour.
Senior Data Analyst

Senior Data Analyst

ALLO Fiber

Seward, NE • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


ALLO Fiber rating

7.2

Company rating: 7.2 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

48th of 82 rated telecommunications companies


Job description

At ALLO, we believe people are our biggest asset. Our team brings the ALLO mission to life because as local members of each community, we live, work, play, and volunteer right here with you. We're passionate about being involved and contributing to the success and progress of each of our GIG Communities.
We pursue these passions because ALLO leaders have created a workplace where folks are valued, ideas are heard, and leaders and teammates show up for each other at work and in life.

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling complex business challenges by leveraging data for decision-making and delivering actionable analytical solutions. The Senior Data Analyst works closely with stakeholders to address assigned projects, guiding them through a data-driven process and often leading the technical execution of analytical work by collaborating with data engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance efficiency and effectiveness. This is a critical role for driving data literacy and adoption throughout the company.

RESPONSIBILITIES:

  • Business Problem Framing & Solution Definition:

    • Proactively engage with business stakeholders (e.g., Marketing, Sales, Product, Operations, Finance) to understand their objectives, challenges, and data needs for assigned projects.

    • Translate vague business questions into clear, measurable analytical problems and hypotheses.

    • Scope and define analytical projects, outlining objectives, deliverables, timelines, and required resources.

    • Recommend the most appropriate analytical approaches and methodologies (e.g., descriptive, diagnostic, predictive, prescriptive analytics).

  • Data Analysis & Insight Generation:

    • Conduct in-depth data analysis using various tools and techniques to uncover trends, patterns, and insights.

    • Develop compelling narratives around data findings and present insights in a clear, concise, and actionable manner to diverse audiences.

    • Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions.

  • Stakeholder Engagement & Relationship Management:

    • Build strong, trusted relationships with business leaders and team members across the organization.

    • Facilitate workshops and discussions to gather requirements and validate analytical outputs.

    • Champion data-driven decision-making and enhance data literacy within business units.

    • Manage expectations and communicate progress, challenges, and outcomes effectively.

  • Tooling & Best Practices:

    • Stay abreast of industry trends, new analytical tools, and methodologies.

    • Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms, statistical software, latest models and features).

    • Contribute to the continuous improvement of analytical processes and best practices within the Data & Analytics department.

EDUCATION/EXPERIENCE:

  • 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 a Senior or Lead Data Analyst, Senior or Lead Business Analyst, or Data Scientist with a strong focus on stakeholder engagement and solution delivery.

SKILLS / KNOWLEDGE / ABILITIES:

  • Proven ability to translate complex business problems into analytical requirements and deliver actionable insights.

  • Strong proficiency in SQL for data extraction, manipulation, and analysis.

  • Experience with scripting languages for data analysis (e.g., Python, R).

  • Experience with data visualization and dashboarding in Looker.

  • Familiarity with AI agents and their role in delivering data analysis to non-technical stakeholders.

  • Demonstrated experience with statistical analysis and data interpretation.

  • Excellent communication, presentation, and storytelling skills, with the ability to articulate complex data insights to non-technical audiences.

  • Strong project management skills, with the ability to manage multiple priorities and deadlines.

  • Self-starter with a proactive approach to identifying and solving business problems.

  • Desire to be a team-player whether partnering with other data analysts or working with internal stakeholders.

  • Preferred qualifications:

    • Familiarity with GCP cloud data platforms and data warehousing concepts.

    • Experience with A/B testing design and analysis.

    • Experience with building and tuning custom AI models for analytics and reporting.

    • Previous experience in a consulting role (internal or external).

REQUIREMENTS:

  • Remain stationary for extended periods

  • Ability to communicate information

  • Ability to operate a computer

People are our passion. At ALLO, we don't treat you like a number. You're a human being.

Get ready to plug into the perks at ALLO:

  • Free internet? You bet. Plus, awesome discounts on other ALLO services.

  • Retirement Plan: The fiber future isn't the only one we care about. We match your 401(k) savings up to 5%.

  • Health and Wellness: Participate in quarterly wellness challenges, and we'll deposit extra cash into your checking or health savings accounts.

  • Benefits: Our benefits include medical, vision, and dental with low employee costs. Not to mention generous Earned Time Off (ETO) program.

  • Sponsorships: Are you passionate about a local fundraiser or philanthropy? We strive to give back to what matters most to our communities.

  • Tuition Assistance: Have a thirst for knowledge? We like that, which is why we're proud to offer assistance with the cost of your tuition.

ALLO is an Equal Opportunity Employer. We are committed to providing opportunities to all applicants and associates without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. ALLO believes that diversity and inclusion within our team is critical to our success as a company. We seek to recruit, develop, and retain the most talented people.

Benefit eligibility depends on the position and employment status. The available benefits differ for interns, contingent workers, and part-time team members.

Qualified individuals with disabilities who require reasonable accommodations in order to apply may contact Recruiting at recruiting@allofiber.com.

ALLO is a Drug Free and Tobacco Free Workplace.


What ALLO Fiber employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom