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Senior Analytics Developer Jobs in Nebraska (NOW HIRING)

This role will initially focus on establishing a strong, trusted analytics foundation through ... developer productivity Who You Are * Bachelor's degree required, preferably in Computer Science ...

Title: Sr. C++ Developer Location: Omaha NE Duration: Long Term Position Type: CTH Positions: 5 ... Analytical & Problem Solving Skills Nice-To-Have Skills: 1. Understanding of TCP/IP and Multi ...

Sr SERVICENOW DEVELOPER

Omaha, NE · On-site

$51.75 - $71/hr

Role: Sr Servicenow Developer Location: Omaha NE (Onsite) & Skill Requirement: LOOKING FOR A SENIOR ... year • Very Good Analytical Skills And Problem-Solving Ability A Must. • Very good ...

Senior Mainframe Developer We're Concentrix. The intelligent transformation partner. Solution ... Analyze business and technical requirements and translate them into effective solutions. * Perform ...

Senior Developer 150002AR

Omaha, NE · On-site

$52.25 - $69/hr

... Senior Developer Responsibilities Provide technical knowledge, analyze and develop complex end-to ... Code, test, identify, implement and document technical solutions Perform design and analysis for ...

Senior DevOps EngineerOmaha, NE

Omaha, NE · On-site

$140K - $200K/yr

Dark Wolf Solutions is looking for a Senior DevOps Engineer to engineer and maintain Infrastructure ... Analyzing user needs and developing software solutions. * Designing software or customizing ...

Senior Lead Developer Job Location: Omaha, NE Job Type: Contract * Create and maintain applications ... Lead root cause analysis for production errors and recommend fixes for code, application design and ...

Sr. Software Developer (Guidewire/Java)

Lincoln, NE · On-site

$50 - $64/hr

Coordinate with business analysts and user departments to translate complex business requirements ... senior-level development experience. * Certifications: Guidewire Cloud Developer Certification is ...

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Showing results 1-20

Senior Analytics Developer information

See Nebraska salary details

$14

$58

$83

How much do senior analytics developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for senior analytics developer in Nebraska is $58.86, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.01 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

Senior Analytics Developers typically do not earn $1,000,000 annually; such high salaries are usually found in executive roles, successful entrepreneurs, or highly specialized fields like investment banking, hedge fund management, or tech company founders. In rare cases, top-tier professionals with equity, bonuses, or profit-sharing arrangements can reach or exceed this level. Most high-paying jobs require advanced skills, extensive experience, and often ownership stakes or performance-based compensation.

What engineers make $500,000?

Senior Analytics Developers and other highly experienced data professionals can earn $500,000 or more annually, especially with advanced skills in data modeling, programming, and tools like SQL, Python, or cloud platforms. Such compensation often includes bonuses, stock options, or other incentives in competitive industries or senior roles.

What is the difference between Senior Analytics Developer vs Data Analyst?

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

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

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

How does a Senior Analytics Developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

Is 40 too late for data science?

Age is not a barrier to becoming a senior analytics developer or entering data science. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

What jobs pay 200,000 a year in the USA?

Senior Analytics Developers with extensive experience, advanced skills in data modeling, programming, and tools like SQL, Python, or R can reach or exceed a $200,000 annual salary, especially in high-demand industries or senior roles. Other high-paying jobs include data scientists, software engineers, and IT managers, often requiring specialized certifications and a strong professional track record.

What is a Senior Analytics Developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.
What cities in Nebraska are hiring for Senior Analytics Developer jobs? Cities in Nebraska with the most Senior Analytics Developer job openings:
Sr. Manager, Data & ML Engineering

Sr. Manager, Data & ML Engineering

Deckers

Remote

Full-time

Re-posted 15 days ago


Deckers Brands rating

8.8

Company rating: 8.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

6th of 57 rated fashion and textile manufacturers


Job description

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us.

Job Title:Sr. Manager, Data & ML Engineering
Reports to:Director, Data Platforms & Engineering


Location: United States (Remote)

Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington

The Role

Are you ready to shape the future of data and ML engineering at Deckers Brands? The Senior Manager, Data & ML Engineering leads the delivery and operational excellence of Deckers' modern data platform, with a strong emphasis on dbt as the primary transformation framework and an AWS-native architecture. This role is accountable for building and maintaining scalable, reliable, and governed data pipelines that power analytics, reporting, and future machine learning use cases.

This role will initially focus on establishing a strong, trusted analytics foundation through robust ingestion, modeling, testing, documentation, and deployment practices. As the platform matures and core data products stabilize, the role will progressively expand to enable machine learning capabilities through feature readiness, curated datasets, and foundational MLOps patterns in partnership with Data Science and analytics teams.

We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.

Your Impact

  • Lead the design and delivery of analytics-ready data models and transformation layers using dbt as the standard framework
  • Establish and enforce dbt development standards, including model design, documentation, testing, CI/CD, and release practices
  • Own delivery and operations of scalable ingestion, transformation, and delivery pipelines on AWS, ensuring reliability, performance, and cost efficiency
  • Partner with Cloud Engineering and Security to ensure AWS data solutions meet security, privacy, and compliance requirements
  • Implement monitoring, alerting, incident response practices, and runbooks for dbt and AWS workloads to improve operational stability
  • Drive strong data quality practices including source definitions, freshness checks, automated tests, and data lineage expectations
  • Collaborate with business stakeholders to translate needs into prioritized roadmaps and delivered data products
  • Manage and mentor data engineers and analytics engineers through coaching, performance management, and career development
  • Promote disciplined engineering practices across the team including code review standards, documentation, automation, and reusable frameworks
  • Enable future machine learning use cases by ensuring curated datasets are ML-ready, including feature readiness and foundational requirements for model operationalization
  • Evaluate and introduce platform improvements that strengthen scalability, maintainability, governance, and developer productivity

Who You Are

  • Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field; Master's degree preferred
  • AWS certifications (Data, Machine Learning, or Solution Architecture) are a plus
  • 8 to 12 years of experience building enterprise-grade data platforms and pipelines
  • 3 to 5+ years leading data engineering and/or analytics engineering teams in cloud-native environments
  • Demonstrated hands-on experience using dbt as a primary transformation framework in production, including testing, documentation, CI/CD, and release practices
  • Strong experience delivering data platforms on AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, SageMaker as applicable)
  • Experience supporting ML initiatives through strong data foundations, feature readiness, and platform enablement is preferred
  • Deep understanding of modern data modeling and analytics engineering concepts, including dbt best practices
  • Strong AWS data engineering expertise including scalability, reliability, and cost optimization
  • Strong leadership and people-management skills with a focus on coaching and developing talent
  • Ability to drive technical excellence while balancing speed, quality, and operational stability
  • Excellent problem-solving, analytical thinking, and decision-making skills
  • Strong communication and influencing skills across technical and business stakeholders
  • Comfortable working in a fast-paced, matrixed, and global environment

What We'll Give You -

  • Competitive Pay and Bonuses - We've created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they're valued.
  • Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.
  • Time away from work - Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees' needs to get out, get healthy and come back stronger than ever.
  • Extras, discounts and perks - Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras
  • Growth and Development - Deckers Brands was built on the idea of pursuing passion. That's why we offer extensive opportunities and support for personal and professional development.
  • Health and Wellness - There's nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.

$170,000 - $190,000

The salary range posted reflects the minimum and maximum target for new hire salaries for this role in our Goleta, CA location. Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary for your preferred location during the hiring process.


Equal Employment Opportunity
Diversity and inclusion are key to our success. We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands. We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.


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