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Entry Level Analytics Engineer Jobs in Springfield, MO

In this economy no client wants or has the resources to take an entry level person and spend ... Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ...

Transportation Project Engineer

Springfield, MO · On-site

$57.10K - $75.50K/yr

Perform engineering calculations, analysis and design. * Produce engineering reports and plans. * May serve as a designated Client contact on some projects. * Perform quantity take-offs and prepare ...

Transportation Project Engineer

Springfield, MO · On-site

$57.10K - $75.50K/yr

Perform engineering calculations, analysis and design. * Produce engineering reports and plans. * May serve as a designated Client contact on some projects. * Perform quantity take-offs and prepare ...

Entry Level Analytics Engineer information

See Springfield, MO salary details

$36.8K

$78.6K

$129.6K

How much do entry level analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level analytics engineer in Springfield, MO is $78,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $94,100.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Analytics Engineer jobs in Springfield, MO? The most popular types of Analytics Engineer jobs in Springfield, MO are:
What are popular job titles related to Entry Level Analytics Engineer jobs in Springfield, MO? For Entry Level Analytics Engineer jobs in Springfield, MO, the most frequently searched job titles are:
What cities near Springfield, MO are hiring for Entry Level Analytics Engineer jobs? Cities near Springfield, MO with the most Entry Level Analytics Engineer job openings:
Business Analyst

Business Analyst

SynergisticIT

Springfield, MO • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

SynergisticIT Job Opportunity

SynergisticIT has helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job, we make careers. All positions are open for all visas and US citizens. We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed. Clients have now the option to hire remote workers from anywhere so for a jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.

Who Should Apply: Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry. We welcome candidates with all visas and citizens to apply.

If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

Required Skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required Skills for Data Science/Machine Learning:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Databricks, Snowflake, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. No third party candidates or c2c candidates please only apply to the posting. If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. No phone calls please. Shortlisted candidates would be reached out.