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Data Analyst Data Scientist Jobs in Springfield, MO

... 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 ...

... 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 ...

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 ...

Showing results 41-60

Data Analyst Data Scientist information

See Springfield, MO salary details

$41.8K

$150.1K

$221.5K

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

As of Aug 6, 2026, the average yearly pay for data analyst data scientist in Springfield, MO is $150,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $154,600.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What are popular job titles related to Data Analyst Data Scientist jobs in Springfield, MO? For Data Analyst Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Scientist jobs in Springfield, MO look for? The top searched job categories for Data Analyst Data Scientist jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Analyst Data Scientist jobs? Cities near Springfield, MO with the most Data Analyst Data Scientist job openings:
Infographic showing various Data Analyst Data Scientist job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $150,105 per year, or $72.2 per hour.

Reimbursement Analyst

CoxHealth

Springfield, MO

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago


CoxHealth rating

6.7

Company rating: 6.7 out of 10

Based on 234 frontline employees who took The Breakroom Quiz

532nd of 887 rated healthcare providers


Job description

Facility:

CoxHealth South: 3801 S National Ave, Springfield, Missouri, United States of America, 65807

Department:

1724 System Admin

Scheduled Weekly Hours:

40

Hours:

Work Shift:

Day Shift (United States of America)

CoxHealth is a leading healthcare system serving 25 counties across southwest Missouri and northern Arkansas. The organization includes six hospitals, 5 ERs, and over 80 clinics. CoxHealth has earned the following honors for workplace excellence:

  • Named one of Modern Healthcare’s Best Places to work five times.

  • Named one of America’s Greatest Workplaces, Greatest Workplaces in Healthcare (2025, 2026), Greatest Workplaces for Women (2023, 2024), and Greatest Workplaces for Diversity (2024) by Newsweek and Plant-A Insights Group

  • Acknowledged by Forbes as one of the Best Employers for New Grads.

  • Healthcare Innovation's Top Companies to Work for in Healthcare (2025).

Benefits

  • Medical, Vision, Dental, Retirement with Employer Match and more (20+ hrs/week)  

  • For a comprehensive list of benefits, please click here: Benefits | CoxHealth

Job Description:

The Senior Reimbursement Analyst is responsible for various functions and support related to Governmental and Commercial/Managed Care reimbursement evaluation, analysis and financial reporting. Assist with various Cost Reporting to Government Payors and provide various patient and financial reporting and analysis work for leaders, staff and consultants.

Senior Reimbursement Analyst

Education:
▪ Required: Bachelor Degree in a Business or Related Field
▪ Preferred: Master’s Degree
Experience:
▪ Required: 1 year reimbursement, financial or office related experience.
▪ Preferred: Previous experience in a healthcare setting
Skills:
▪ Excellent verbal and written communication skills.
▪ Able to work independently and collaboratively with others.
▪ Proficient computer skills.
▪ Genuine concern for accuracy and attention to detail.
Licensure/Certification/Registration:
▪ N/A

Reimbursement Analyst

Education
▪ Required: Bachelor’s Degree in Finance, Business, Healthcare, or a related field or 8 years related experience
Experience
▪ Preferred: Demonstrated experience with healthcare or insurance financial analysis.
Skills
▪ Strong interpersonal and communication skills with ability to effectively present and interact with all levels of the organization 
▪ Ability to work collaboratively as either a facilitator or participant on projects that involve multiple stakeholders, while promoting positive and effective working relations
▪ Ability to inform and educate others, including training of new staff, on procedures and concepts
▪ Ability to write effective summary level documentation for clear and concise communication of data analyzed
▪ Ability to create, implement and optimize stakeholder reporting
▪ Highly proficient in all aspects of MS Office Highly proficient in Excel with ability to create, modify and trouble-shoot spreadsheets for data analytics.
▪ 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, track status efficiently, and demonstrate defensible judgement in making independent decisions
▪ Effective time management and prioritization skills to permit handling of a large workload across multiple projects and multiple departments
Licensure/Certification/Registration:
▪ N/A


What CoxHealth employees say

Pay

Benefits

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