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Senior Data Analyst Jobs in Springfield, MO (NOW HIRING)

Ra

Marketing Analytics Manager

Buffalo, MO

Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the ... Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other ...

Salon Service Group

FP&A

Springfield, MO · On-site

$72K - $89K/yr

... for senior leadership, the Board of Directors, and other stakeholders. * Design, develop, and ... Ensure the accuracy, completeness, and integrity of financial data, management reports, and ...

Bass Pro Shops

Compensation Analyst

Springfield, MO · On-site

Audit compensation data for accuracy and identify trends or discrepancies. * Participate in ... Works with Compensation Manager and Senior Compensation Analyst to administer the Annual Merit and ...

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

Senior Data Analyst information

See Springfield, MO salary details

$50K

$90.3K

$123.3K

How much do senior data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data analyst in Springfield, MO is $90,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $98,700.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Springfield, MO?

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

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

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

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

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

Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst 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 $90,263 per year, or $43.4 per hour.

SR Bus Intelligence Analyst I (E)

Coxhealth

Springfield, MO

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

CoxHealth rating

6.7

Company rating: 6.7 out of 10

Based on 237 frontline employees who took The Breakroom Quiz

530th of 891 rated healthcare providers

Job description

Facility:

Primrose Place: 1115 E Primrose, Springfield, Missouri, United States of America, 65807

Department:

1676 Enterprise Data and Analytics

Scheduled Weekly Hours:

40

Hours:

8:00 AM - 5:00 PM

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'sTop 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 Business Intelligence Analyst position identifies, manages, and provides actionable insights related to the data and analytic needs of CoxHealth such as data modeling, business analytics, and data visualization/enhancement services. It supports, influences, and challenges business decisions with data, as well as timely and insightful analysis. It is responsible for the management of business analytic processes and strategies such as: data integration, operational reporting (ad-hoc and analysis), dashboards, and data mining. Determines reporting and analytics needs for various programs and initiatives, and creates customized dashboard and performance metrics/reports related to all aspects of healthcare. Collaborates with stakeholders to design, create, test, and implement analytic tools (databases, extracts, reports, dashboards, etc.) that support enterprise needs. With a strong focus on customer service, innovation, and the delivery of the highest quality work product, the position requires strong technical, critical thinking, project management, and interpersonal skillsEducation: Required: Bachelor's degree in Computer Information Systems, Business Administration degree, or a related field OR 8 years' experience in IT or Computer ScienceExperience: Required: Minimum of 4 years' experience performing data analysis on clinical and financial information.Skills: Strong knowledge of SQL and data extraction tools. Experience using industry standard BI, statistical, and analytical tools and technologies such as Power BI and Business Objects. Working knowledge of complex database design and concepts. Ability to design, write, maintain, and support complex dashboards, queries, extracts, and reports utilizing various reporting tools and data sources. Demonstrates careful attention to detail and the ability to work independently. Serves as a resource for identification of potential clinical or financial performance improvement activities by identifying and communicating opportunities discovered/identified during analysis. Prepares clear and well-organized project-specific documentation to reflect analytic methods used, key decision points, caveats, etc. with sufficient detail to support comprehension and replication of the analysis. Consistently performs validation checks to ensure accuracy of reports and data. Excellent systematic problem solving skills.Licensure/Certification/Registration: N/A

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