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Data Analyst Data Science Jobs in Springfield, MO

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Digital Analyst Internships

Springfield, MO · On-site

$89K - $106K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field 7+ years of experience in data, analytics, engineering, or ...

... Data Engineering, Data Science, Information Systems, or related field. • 7+ years of experience in data, analytics, engineering, or applied AI roles. • Demonstrated experience building or ...

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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:

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.

Data Science Analyst

teKnoluxion Consulting LLC

Springfield, MO • On-site

$138 - $167/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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Job description

OverviewData Science AnalystSpringfield, VA or St. Louis, MO

Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team as a Data Science Analyst, supporting the NGA customer mission.

ResponsibilitiesWhat you get to do every day:

As a Data Science Analyst/Engineer join the the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.

  • Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
  • Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications.
  • Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
  • Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
  • Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.
Qualifications

Clearance Required: Active TS clearance (with SCI Eligibility) and eligibility to obtain CI Poly

Certification Required: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.

Education/Experience:

  • At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools.
  • At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content.
  • Bachelor’s degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
  • MS Degree and 10+ years of relevant experience
  • Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
  • Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
  • Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)

What is ideal?

  • At least 5 years of experience with customer imagery and data repositories, products, data types, and uses.
  • Knowledge and at least 5 years of experience with GIS-related applications and tools.
  • Comfortable with:
    • Postgres and Elasticseach (build queries, analyze results)
    • GitLab (review code, recommend data remediation changes)
    • Openshift Container Platform (OCP) (approve merge requests)
    • Working in an Agile Software Development environment
  • Intelligence Community Experience preferred
What you can expect from us
  • Recognizing great achievements do not go unnoticed by bcore through service anniversaries, spot awards, and employee referral bonuses
  • You’ll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
  • The expected salary range within the Washington, DC metropolitan area is: $138,000-$167,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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