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

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 ...

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 ...

Prepare detailed reports and presentations on findings, analysis, and recommendations for stakeholders and senior management. * Collaborate with product and engineering teams to optimize data ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

Showing results 21-40

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 Jul 31, 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 are Senior Data Analysts?

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 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.

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.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Springfield, MO? The most popular types of Data Analyst jobs in Springfield, MO are:
What are popular job titles related to Senior Data Analyst jobs in Springfield, MO? 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:
Infographic showing various Senior Data Analyst job openings in Springfield, MO as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% 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

Posted 10 days ago


CoxHealth rating

6.7

Company rating: 6.7 out of 10

Based on 233 frontline employees who took The Breakroom Quiz

529th of 885 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

What CoxHealth employees say

Pay

Benefits

Hours and flexibility

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