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Data Analyst Data Science Jobs in Springfield, MO

Job-Specific Minimum Requirements: - Bachelor's degree in Information Systems, Business, Data Analytics, Engineering, or a related field (or equivalent experience). - 4+ years of experience in ...

... 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 ...

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 ...

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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Built on play and guided by science, My World ABA is an intensive outpatient ABA clinic serving ... progress through data analysis and clinical decision-making · Supervising, training, and ...

Analyze data to determine actual return to vendors and follow-up to insure return is issued. Provide information to appropriate DCs. Initiate, review and follow-up on return authorizations dealing ...

... analyzing data, training caregivers, and supporting meaningful skill development under the guidance of Board Certified Behavior Analysts. As an ABA Specialist, you will use the science of Applied ...

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

Partner with Data Scientists and engineering teams to productionize AI and ML solutions into ... Strong analytical and problem-solving skills with an end-to-end ownership mindset. * Ability to ...

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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 Jul 14, 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.

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 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 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 the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $75,172 per year, or $36.1 per hour.
Policy Tracking & Dashboard Analyst

Policy Tracking & Dashboard Analyst

Maximus

Springfield, MO • On-site

Full-time

Medical, Life, Retirement, PTO

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


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 293 frontline employees who took The Breakroom Quiz

254th of 449 rated business services


Job description

Description & Requirements

Maximus is currently seeking a Policy Tracking & Dashboard Analyst for a bid opportunity.

This program supports the Health Resources and Services Administration (HRSA) in overseeing the national organ transplant system through the Organ Procurement and Transplantation Network (OPTN). The OPTN establishes policies that ensure organs are allocated fairly and based on medical need, with a strong focus on transparency, data-driven decision-making, and equitable outcomes.

In this role, you will support policy and operational tracking through data analysis, reporting, and dashboard development. You will work with internal stakeholders to collect, validate, and analyze data, helping to translate complex information into meaningful insights that support program decision-making. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly to both technical and non-technical audiences.

This position is highly collaborative and requires coordination across teams to ensure data accuracy, reporting consistency, and alignment with program goals.

This is a remote position. Please note that this position is contingent upon bid award.

Essential Duties and Responsibilities:

  • Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
  • Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
  • Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
  • Develop and implement new metrics, functions, and scripts as KPIs as needed.
  • Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
  • Create and maintain all documentation including obtaining and collecting artifacts as needed.
  • Ad hoc tool development to support operational and under served analytical areas.
  • Learning emerging technologies and systems of need for company initiatives.
  • Activities to support team communication and strategy implementation (meetings, etc.).
  • Project management activities.

Minimum Requirements

  • Bachelor's degree in related field.
  • 5-7 years of relevant professional experience required.
  • Equivalent combination of education and experience considered in lieu of degree.
  • 5 minimum years of experience in data analysis, reporting, or dashboard development
  • Experience working with business intelligence or reporting tools (e.g., dashboards, data visualization tools)
  • Strong skills in data extraction, validation, and trend analysis
  • Experience working in a cross-functional or matrixed environment
  • Strong communication skills to translate data insights into clear findings

Preferred

  • Experience supporting federal or government programs

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

68,900.00

Maximum Salary

$

98,110.00


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