ZipRecruiter

Log In

1

Analytics Engineer Jobs in Omaha, NE (NOW HIRING)

HDR

Analytics Engineer

Omaha, NE · On-site

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics-ready datasets that power enterprise reporting, analytics, and business decision-making. This role ...

HDR

Analytics Engineer

Omaha, NE · On-site

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics-ready datasets that power enterprise reporting, analytics, and business decision-making. This role ...

HDR

Analytics Engineer 2

Omaha, NE · On-site

In the role of Analytics Engineer II, we'll count on you to: * Design and develop analytics models aligned to business processes and reporting needs. * Create curated marts and semantic structures ...

HDR

Analytics Engineer 2

Omaha, NE · On-site

In the role of Analytics Engineer II, we'll count on you to: * Design and develop analytics models aligned to business processes and reporting needs. * Create curated marts and semantic structures ...

Milan Laser Hair Removal

Sr. Data Engineer

Omaha, NE · On-site

$112K - $135K/yr

Data Modeling & Analytics Engineering: Model data across the Bronze, Silver, and Gold layers to support reporting, self-service analytics, and semantic layer consumption. Design and maintain Gold ...

Milan Laser Hair Removal

Sr. Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

Data Modeling & Analytics Engineering: Model data across the Bronze, Silver, and Gold layers to support reporting, self-service analytics, and semantic layer consumption. Design and maintain Gold ...

ShiftCode Analytics, Inc.

SRE - Fiserv

Omaha, NE · On-site

$54.50 - $72.50/hr

ShiftCode Analytics, Inc. is seeking a Site Reliability Engineer to build and maintain technology for core services focused on Microsoft Azure Cloud applications. The role involves ensuring seamless ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) PLEASE NOTE: WoodmenLife will not sponsor applicants for work visas for ...

Woodmenlife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$100 - $140/hr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) PLEASE NOTE: WoodmenLife will not sponsor applicants for work visas for ...

Olsson

Tank & Vessel Associate Engineer

Omaha, NE · On-site

As a Tank & Vessel Engineer, you will analyze, engineer, and design aboveground storage tanks, pressure vessels, process tanks, bins, silos, and related industrial structures. You will work with ...

Monitise

Principal, Data & AI Platform Engineer

Omaha, NE · On-site

$109K - $131K/yr

Analytics & Reporting * Build analytics datasets and semantic layers to support enterprise ... Develop ML pipelines for feature engineering, training, validation, and inference using ...

next page

Showing results 1-20

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Omaha, NE

Analytics Engineer information

See Omaha, NE salary details

$59K

$103K

$168.1K

How much do analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for analytics engineer in Omaha, NE is $103,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,950.00 and $115,662.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Omaha, NE?

The most popular types of Analytics Engineer jobs in Omaha, NE are:

What are popular job titles related to Analytics Engineer jobs in Omaha, NE?

For Analytics Engineer jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Omaha, NE look for?

The top searched job categories for Analytics Engineer jobs in Omaha, NE are:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Omaha, NE as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $103,043 per year, or $49.5 per hour.

Analytics Engineer

Fashion Institute of Design & Merchandising

Omaha, NE • On-site

$80 - $100/hr

Other

Posted 3 days ago

New

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics-ready datasets that power enterprise reporting, analytics, and business decision-making. This role focuses on building and maintaining well-structured data models using SQL and analytics engineering best practices. The Analytics Engineer sits at the intersection of data engineering and analytics, partnering closely with technical and business stakeholders to ensure data is reliable, well-documented, and scalable.

Data Modeling & Analytics Engineering
  • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts, dimensions).
  • Translate business requirements into clear, well documented data models that are intuitive, performant, and reusable across analytics and BI tools.
  • Own the analytics layer of the data platform, ensuring consistency, clarity, and trust in metrics and definitions.
  • Implement dbt tests, documentation, and exposures to improve data quality, observability, and stakeholder confidence.
  • Partner with analytics, BI, and business teams to define and standardize core metrics and KPIs.
dbt Development & Platform Practices
  • Develop and maintain dbt projects using best practices:
    • Modular, well structured models
    • Version control (Git based workflows)
    • CI/CD and environment promotion patterns
    • Optimize dbt models for performance, cost efficiency, and scalability within the cloud data warehouse.
    • Leverage dbt features such as snapshots, seeds, macros, and packages where appropriate.
  • Participate in code reviews and contribute to shared analytics engineering standards.
Cross Functional Collaboration
  • Collaborate closely with Data Engineers on upstream data ingestion patterns and source system modeling.
  • Work with Analytics, Reporting, and Business stakeholders to ensure data models meet analytical and operational needs.
  • Support BI tools (e.g., Power BI, Tableau, Looker) by providing well designed, analytics ready datasets rather than ad hoc SQL.
Senior Level Expectations
  • Act as a technical leader for analytics engineering and data modeling practices.
  • Influence data modeling standards, naming conventions, and metric definitions across the organization.
  • Mentor junior analytics engineers and analysts.
  • Partner with platform leadership on analytics architecture, governance, and roadmap planning.
Preferred Qualifications
  • Advanced proficiency in SQL for analytics, data modeling, and validation.
  • Experience designing dimensional data models (facts, dimensions, marts, star schemas).
  • Experience using dbt for analytics engineering, including testing and documentation.
  • Familiarity with cloud-based data warehouses such as Snowflake.
  • Experience with Git-based version control workflows.
  • Exposure to enterprise BI tools such as Power BI, Tableau, or Looker.
  • Experience supporting or building standardized metrics and KPI frameworks.
  • Prior experience helping organizations mature from ad hoc analytics to modeled, metrics-driven analytics.
Required Qualifications
  • Associates degree in computer science or a related field of study
  • A minimum of 3 years of experience in software development
  • Demonstrated analytical thinking and problem-solving skills
  • Demonstrated ability to work across teams
  • Experience interpreting business requirements, functional specs and test scripts
  • Intermediate Microsoft Excel and Word skills

At HDR, we are committed to the principles of employment equity. We are an affirmative action and equal opportunity employer. We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.

#J-18808-Ljbffr

Apply