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Data Analyst Data Science Jobs in Springfield, MO

CoxHealth

Reimbursement Analyst

Springfield, MO · On-site

... data analyzed ▪ Ability to create, implement and optimize stakeholder reporting ▪ Highly ... ▪ Strong analytical skills to be able to analyze complex data and all type of provider ...

Coxhealth

Reimbursement Analyst

Springfield, MO

Strong analytical skills to be able to analyze complex data and all type of provider reimbursement. Highly productive in a self-directed manner with ability to coordinate projects, prioritize tasks ...

CoxHealth

Reimbursement Analyst

Springfield, MO · On-site

... data analyzed • Ability to create, implement and optimize stakeholder reporting • Highly ... • Strong analytical skills to be able to analyze complex data and all type of provider ...

EnthuZiastic

Growth Hacker - Remote

Springfield, MO · On-site

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Springfield, MO

Data Analyst Data Science information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

How much do data analyst data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst data science in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Springfield, MO?

For Data Analyst Data Science jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Springfield, MO look for?

The top searched job categories for Data Analyst Data Science jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Data Analyst Data Science jobs?

Cities near Springfield, MO with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,172 per year, or $36.1 per hour.

PostgreSQL Database Architect

Abile Group, Inc

Springfield, MO • On-site

$140 - $190/hr

Other

Posted 29 days ago

Job description

Overview

Abile Group has an exciting and challenging opportunity for a PostgreSQL Database Architect on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer. All the personnel on the team will work together to support innovative design, engineering, procurement, implementation, operations, sustainment and disposal of user facing and data center information technology (IT) services on multiple networks and security domains, at multiple locations worldwide, to support the IC mission.

The right candidate will possess the below skills and qualifications and be ready to handle all responsibilities independently and professionally.

Responsibilities
  • Manages the functionality and efficiency of a group of servers running on one or more operating systems.
  • Maintains database integrity and security, configures role-based access control (RBAC), and sets up administrative accounts.
  • Sets up administrator and service accounts.
  • Maintains documentation for configurations, standards, and procedures
  • Interacts with users and evaluates vendor products.
  • Develops and monitors policies and standards for allocation related to the use of computing resources.
  • Develops and implements testing strategies and document results.
  • Provides advice on performance tuning and training to end-users.
  • Maintains current knowledge of relevant technologies as assigned.
  • Evaluates open-source or vendor tools and participates in database migration/special modernization projects.
  • Collaborates with developers on schema design, query optimization, and stored procedures.
  • Plans and executes database upgrades, patching, and migrations.
  • Ensures compliance with industry standards and regulatory requirements.
Qualifications

Clearance Required: TS/SCI with ability to obtain a CI Poly.

Degree and Years of Experience: Bachelors Degree in a Computer Science or related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.

  • 5 + years of related database analysis and/or administration experience.

Desired Certifications:

  • CompTIA Security+ or equivalent recommended.

Required Skills:

  • PostgreSQL experience required. Oracle database administration a plus.
  • Experience in PostgreSQL administration/tuning; including knowledge and implementation of database high-availability solutions and performance tuning.
  • Experience in monitoring, creating, and managing PostgreSQL server agent alerts.
  • Experience with Database backup, restore, migration, and Database snapshot technologies/strategies.
  • Knowledge on how to build/maintain efficient database table structures for both transactional and warehouse data.
  • Migration experience with Oracle, MySQL, and PostgresSQL.
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