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Entry Level Analytics Engineer Jobs in Missouri (NOW HIRING)

Maritz

Software Engineer I

Fenton, MO · On-site

What You'll Be Doing We are looking for an entry level engineer who is eager to learn and build ... Assists with resolving service interruptions and contributes to root cause analysis during post ...

Hitachi

Electrical Engineer

Jefferson City, MO

... analysis and test failure reduction Coaching and training to entry level engineers Qualifications: Bachelor's in Electrical Engineering Excellent communication and Organization Skills 3 + years of ...

Hitachi, Ltd.

Electrical Engineer

Jefferson City, MO · On-site

... cause analysis and test failure reduction • Coaching and training to entry level engineers Qualifications: • Bachelor's in Electrical Engineering • Excellent communication and Organization ...

Actalent

Maintenance Engineer

Independence, MO

Maintenance Engineer This entry-level Maintenance Engineer role focuses on performing routine and ... Ability to analyze problems, develop practical solutions, and implement changes effectively.

New

Altec

Applications Engineer

Saint Joseph, MO · On-site

As directed, may assign work to Designers, Engineering Technologists and Engineers (entry level). * ... Preforms analysis on critical components, providing design recommendations, and creating.

Sparrow Company

Maintenance Engineer

Kansas City, MO · On-site

Ability to analyze problems, develop solutions, and implement changes effectively. Strong attention ... Required Work Experience: Entry level. Required Computer and Software Skills: Tabware, AutoCAD ...

Wood Plc

Junior Water Resources Engineer

Saint Louis, MO

$76K - $105K/yr

Overview / Responsibilities Wood is currently recruiting entry level Water Resources Engineers in ... Statistical Analyses * Stormwater Modeling * Green Infrastructure planning & design Company ...

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All JobsAnalytics Engineer JobsEntry Level Analytics Engineer JobsEntry Level Analytics Engineer Jobs in Missouri

Entry Level Analytics Engineer information

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an entry level analytics engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

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

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do entry level analytics engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What are the most commonly searched types of Analytics Engineer jobs in Missouri? The most popular types of Analytics Engineer jobs in Missouri are:
What are popular job titles related to Entry Level Analytics Engineer jobs in Missouri? For Entry Level Analytics Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in Missouri look for? The top searched job categories for Entry Level Analytics Engineer jobs in Missouri are:
What cities in Missouri are hiring for Entry Level Analytics Engineer jobs? Cities in Missouri with the most Entry Level Analytics Engineer job openings:
Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Missouri as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Engineer I

Maritz

Fenton, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 hours ago

Job description

Where Human Connection Fuels Possibility
At Maritz, decades of innovation and perseverance have built more than just a strong reputation - they've shaped a culture where human connection and collaboration are at the heart of everything we do.
Joining Maritz means becoming part of a workplace grounded in a critical truth; people and their potential is our greatest resource.
Maritz helps companies achieve their business goals by inspiring people to perform their best. We design experiences, incentives, and recognition programs that spark action and deliver measurable impact.
And we've brought this human-first design inward - intentionally building teams that care for each other and collaborate powerfully. In our most recent employee survey, nearly 90% of respondents said that their managers care about their concerns and 82% said they feel genuinely appreciated. We know that when employees feel seen, supported, and celebrated for who they are, they thrive and so does our business.
That's why we've created a flexible, environment that empowers you to do your best work without sacrificing what matters most to you. In fact, in that same survey, nearly 90% of respondents said they have the flexibility they need to balance work and personal life and nearly 80% said Maritz does a great job prioritizing employee well being.
We have a passion for excellence and genuine care for the people making it possible.
We are building a cloud-native, AI-forward technology organization. The Software Engineer I supports the development of software that serves Maritz technology, working closely with and under the guidance of fellow engineers on the team. In this role, you will help build and maintain application features and services, with growing exposure to AI-assisted engineering practices.
What You'll Be Doing
We are looking for an entry level engineer who is eager to learn and build strong technical foundations. You will work alongside senior engineers across codebases, cloud platforms, and engineering toolchains, contributing to project execution under guidance. The ideal candidate brings foundational knowledge in systems or software engineering and curiosity toward emerging technologies, including AI-driven tooling.
80% - Software Engineering Project Support
  • Performs routine to moderately complex development work across a variety of environments, with support from senior engineers on more complex or nonroutine tasks.

  • Uses AI-assisted coding tools (e.g., GitHub Copilot, Claude) to accelerate development and improve code quality and throughput.

  • Participates in code reviews of peers' work - including AI-generated code - to help ensure quality, security, and adherence to standards.

  • Actively participates in and helps facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).

  • Seeks guidance from senior engineers on effective, responsible adoption of AI-assisted development tools.

  • Supports efforts to apply AI and automation to improve deployment frequency and increase system reliability.

20% - Problem Solving & Operational Reliability
  • Assists with resolving service interruptions and contributes to root cause analysis during post-mortems under the guidance of senior engineers.

  • Helps identify trends, anomalies, and failure patterns; recommends solutions with input from senior team members.

  • Actively participates in a culture of continuous improvement, learning, and operational excellence within the team.

  • Supports cross-functional teams during major incidents, helping ensure clear communication and timely updates throughout the lifecycle of an event.

What You'll Bring
  • Bachelor's degree in a technology-related field, or equivalent practical experience demonstrating the required skills. 1-2 years of relevant experience; internships, co-ops, and academic or personal projects will be considered. Cloud platform, or AI-related certifications are a plus.
  • Foundational knowledge of web application frameworks, object-oriented languages, functional programming techniques, design patterns, and secure coding practices, gained through coursework, internships, or professional experience.

  • Exposure to building web applications or web-services, preferably REST

  • Basic familiarity with relational and/or NoSQL databases and core concepts such as ACID transactions, data retrieval, search, and persistence paradigms.

  • Developing triage skills, with the ability to assist in root cause analysis under guidance.

  • Basic exposure to at least one major cloud platform (AWS, GCP, or OCI).

  • Growing ability to interpret and apply security requirements across infrastructure and software systems.

  • Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude) to generate, review, and improve code.

  • Growing ability to evaluate AI-generated code and configurations for correctness, security, and performance, with support from senior engineers.

  • Understanding of responsible AI use principles in an enterprise engineering context.

  • Proficient written and verbal communication skills, with the ability to engage both technical and non-technical audiences.

Things You Should Know
  • This is a hybrid role based in Fenton, MO (Tuesday | Wednesday | Thursday).

DISCLAIMER: This job description is designed to indicate the general nature and level of work performed by associates within this classification. It is not designed to confirm or be interpreted as a comprehensive summary of all duties, responsibilities and qualifications required of associates assigned to this job.
Maritz offers a comprehensive benefits package for full-time employees including medical, dental, vision, life insurance, disability, paid parental leave, 401k, tuition reimbursement, paid time off, year end holiday closure, and more!
View all details at: www.MaritzBenefits.com
Maritz will only employ applicants who have authorization to work permanently in the U.S. This is not a position for which sponsorship will be provided. Those who need sponsorship for work authorization now or in the future are not eligible for hire. No calls or agencies please.
Maritz is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by calling 1-636-827-0380 or by sending an email to recruitment@maritz.com.

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