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Analytical Engineer Jobs in Missouri (NOW HIRING)

Lockton, Inc.

Lead Analytics Engineer

Kansas City, MO · On-site

$100K - $131K/yr

... analytical data models, shared metrics, semantic definitions, and reference data. • Define and ... Analytics Engineering Delivery • Partner with Data Engineers, Analytics Engineers, and business ...

Jobgether

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site

$111K - $134K/yr

Document data lineage and maintain metadata for analytical datasets * Establish documentation ... Python programming experience for data parsing, transformation, and scripting within data pipelines ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Document data lineage and maintain metadata for analytical datasets * Establish documentation ... Python programming experience for data parsing, transformation, and scripting within data pipelines ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Document data lineage and maintain metadata for analytical datasets * Establish documentation ... Python programming experience for data parsing, transformation, and scripting within data pipelines ...

Apex Systems

Structural Analysis Engineer

Berkeley, MO · On-site

Develop analytical processes and tools to improve the effectiveness, quality, and efficiency of the development effort. * Work under minimal direction. Required Qualifications Education: A bachelor ...

Boeing

Lead Structural Analysis Engineer

Berkeley, MO

$154K - $209K/yr

Lead Structural Analysis Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is looking for a Lead Structural Analysis Engineer to join our Air Dominance team in Berkeley, MO ...

Boeing

Lead Structural Analysis Engineer

Berkeley, MO · On-site

$154K - $209K/yr

Lead Structural Analysis Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is looking for a Lead Structural Analysis Engineer to join our Air Dominance team in Berkeley, MO ...

Boeing

Lead Structural Analysis Engineer

Berkeley, MO

$154K - $209K/yr

Lead Structural Analysis Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is looking for a Lead Structural Analysis Engineer to join our Air Dominance team in Berkeley, MO ...

Under Armour

Sr. Data Analytics Engineer

Jefferson City, MO · On-site

$108K - $130K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Work collaboratively to align business requirements with reporting and analytical solutions.

New

EquipmentShare

Analytics Engineer

Columbia, MO · Remote

We're hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we're looking for someone who's ready to grow with us, bring energy and drive to their work, and help us ...

Under Armour

Sr. Data Analytics Engineer

Jefferson City, MO · On-site

$108K - $130K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Work collaboratively to align business requirements with reporting and analytical solutions.

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Analytical Engineer information

See Missouri salary details

$36.6K

$95.4K

$129K

How much do analytical engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for analytical engineer in Missouri is $95,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $109,300.00 per year, depending on experience, location, and employer.

What is an analytical engineer?

Analytical Engineers are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex engineering problems. They often work on developing models, simulations, and analytical tools to improve product design, optimize processes, or predict system behaviors. Their role bridges the gap between data analysis and traditional engineering, enabling more data-driven decision making within engineering projects.

How does an analytical engineer typically collaborate with cross-functional teams during a project?

Analytical Engineers frequently work alongside product managers, designers, and software developers to translate business goals into quantifiable metrics and actionable insights. They participate in planning meetings to define project requirements, develop data models, and present analytical findings that inform decision-making. Effective communication and the ability to explain complex data in accessible terms are essential, as Analytical Engineers often bridge the gap between technical and non-technical team members. This collaborative environment fosters a shared understanding of project objectives and helps ensure that solutions align with both technical feasibility and business needs.

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

To thrive as an Analytical Engineer, you need a solid background in engineering principles, data analysis, and problem-solving, typically supported by a relevant engineering degree. Proficiency with analytical software such as MATLAB, Python, or finite element analysis (FEA) tools, along with familiarity with industry-specific systems, is essential. Strong communication, critical thinking, and teamwork skills help Analytical Engineers translate complex data into actionable insights and collaborate effectively. These abilities are crucial for developing reliable solutions, optimizing processes, and supporting informed decision-making within technical teams.

What is the difference between Analytical Engineer vs Data Scientist?

AspectAnalytical EngineerData Scientist
Required CredentialsBachelor's or Master's in Engineering, Data Analytics, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentEngineering teams, product development, manufacturingData analysis, modeling, research teams
Industry UsageManufacturing, tech, automotive, aerospaceTech, finance, healthcare, e-commerce
Common Search IntentTechnical analysis, process optimizationData modeling, predictive analytics

Analytical Engineers focus on applying engineering principles to analyze and optimize systems and processes, often working closely with product and manufacturing teams. Data Scientists primarily analyze data to extract insights, build models, and support decision-making. While both roles require analytical skills, their focus areas and typical environments differ, making this comparison useful for those exploring career options or job opportunities.

Are analytical engineers in demand?

Analytical engineers are in high demand across industries such as manufacturing, technology, and energy due to their expertise in data analysis, process optimization, and system modeling. Employers seek professionals skilled in tools like MATLAB, Python, and data visualization, often requiring relevant certifications and experience with complex data sets.

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 dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within data and analytics careers.

What are popular job titles related to Analytical Engineer jobs in Missouri?

For Analytical Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Analytical Engineer jobs in Missouri look for?

The top searched job categories for Analytical Engineer jobs in Missouri are:

What cities in Missouri are hiring for Analytical Engineer jobs?

Cities in Missouri with the most Analytical Engineer job openings:

Analytical Engineer jobs near you
Infographic showing various Analytical Engineer job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $95,444 per year, or $45.9 per hour.

Associate Analytics Engineer

Kansas City, MO • On-site

Lockton, Inc.
Insurance Services • 10K+ employees

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

38th of 315 rated insurance

People enjoy working here

Good employer

Recommended by parents

Learn more about Lockton, Inc.external

Full-time

Posted 4 days ago

Job description

Job Summary:
The Associate Analytics Engineer supports the modernization of the organization's reporting and data environment. Initially focused heavily on Power BI development and reporting, this role will progressively move data models and business logic upstream from individual reports into centralized, reusable data and semantic layers.
Working with Analytics Engineers, Data Engineers, and business stakeholders, the Associate Analytics Engineer will maintain and enhance existing Power BI solutions while developing the skills and practices needed to build reliable, scalable, and well-governed data assets.
Key Responsibilities
Power BI & Analytics
• Develop, maintain, and enhance Power BI reports, dashboards, and semantic models.
• Translate business requirements into effective Power BI solutions and analytical experiences.
• Develop and maintain Power BI data models, measures, and business logic.
• Troubleshoot data, modeling, and report issues and improve report performance and usability.
• Partner with business stakeholders to understand reporting needs and translate business definitions into consistent metrics and logic.
• Identify opportunities to reduce duplicated logic and move reusable business logic upstream from individual Power BI reports.
Analytics Engineering & Data Modeling
• Progressively migrate data models, transformations, and business logic from Power BI into centralized data and semantic layers.
• Develop and maintain analytics-ready datasets using emerging Analytics Engineering practices and patterns.
• Apply dimensional modeling concepts, including star schemas and other established data modeling practices.
• Write clean, maintainable SQL to transform and prepare data for analytical use.
• Contribute to reusable enterprise data assets and standardized business logic.
• Partner with Analytics Engineers and Data Engineers to understand data structures, technical patterns, and implementation approaches.
Data Quality & Performance
• Validate data and business logic to ensure reporting and analytical solutions are accurate and reliable.
• Monitor and troubleshoot Power BI and query performance.
• Partner with Analytics and Data Engineers to improve performance, reliability, and maintainability.
• Support testing and validation of data models, metrics, and transformations.
Requirements:
• Experience developing Power BI reports, dashboards, and data models.
• Strong SQL skills and the ability to write clean, complex, and maintainable queries.
• Understanding of data warehousing and dimensional modeling concepts, including star schemas and Kimball methodologies.
• Experience developing business logic and metrics within Power BI.
• Familiarity with modern cloud data platforms such as Databricks.
• Exposure to Git, version control, testing, or other software development practices is a plus.
• Interest in developing an Analytics Engineering skill set and applying engineering practices to data.
• Ability to translate business requirements and definitions into clear, consistent data logic.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate with business stakeholders, Analytics Engineers, and Data Engineers.
Growth in the Role
The role is expected to evolve from a strong focus on Power BI development toward increasing responsibility for Analytics Engineering. Over time, the Associate Analytics Engineer will take on greater ownership of:
• Data modeling and transformation outside of Power BI.
• Reusable enterprise business logic and semantic definitions.
• Testing, validation, and technical documentation.
• Migration of reporting logic into centralized data assets.
• Code-based development and version-controlled data solutions.
• Technical design and implementation of analytics-ready data assets.
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