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Entry Level Data Analyst Jobs in Springfield, MO

In this economy no client wants or has the resources to take an entry level person and spend ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning:

TESS Intern - Fall 2026

Springfield, MO · On-site

$13.75 - $18.25/hr

Develop, analyze, and evaluate data to create and maintain business intelligence frameworks ... RSM does not intend to hire entry-level candidates who require sponsorship now or in the future.

This is entry level technical work where the employee will assist in storing, manipulating ... Work entails data manipulation, which may include quality assurance, creation, and maintenance of ...

Electrician I

Springfield, MO · On-site

$32.31/hr

Complete root cause failure analysis on equipment breakdowns. * Carry out the development and ... Execute and maintain Data systems to include HMI Human Machine Interface and laptops. * Execute any ...

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Entry Level Data Analyst information

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$12

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$56

How much do entry level data analyst jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for entry level data analyst in Springfield, MO is $29.95, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $33.46 per hour, depending on experience, location, and employer.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Springfield, MO? The most popular types of Data Analyst jobs in Springfield, MO are:
What are popular job titles related to Entry Level Data Analyst jobs in Springfield, MO? For Entry Level Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Springfield, MO look for? The top searched job categories for Entry Level Data Analyst jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Entry Level Data Analyst jobs? Cities near Springfield, MO with the most Entry Level Data Analyst job openings:
Business Analyst

Other

Posted 19 days ago


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.