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Data Analyst Jobs in Springfield, MO (NOW HIRING)

Data Analyst information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

How much do data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data analyst 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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 Data Analyst jobs in Springfield, MO? For Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Springfield, MO look for? The top searched job categories for Data Analyst jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Analyst jobs? Cities near Springfield, MO with the most Data Analyst job openings:
Store Operations Data Analyst

Store Operations Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,832 frontline employees who took The Breakroom Quiz

534th of 714 rated retailers


Job description

The Store Operations Data Analyst works with field and corporate leadership to organize and present key business insights using data analysis and visualization tools. The goal of a Store Operations Data Analyst is to understand specific business problems or performance opportunities and deliver meaningful insights from all available data to help our field leadership teams and other key stakeholders make important operational decisions. Perform analyses of performance KPIs of stores and team members, compliance, and other business needs as assigned. Strive to continually improve our reporting systems and analytical capabilities for both corporate and field team members. Present information and recommendations to mid-management and senior level management.
ESSENTIAL JOB FUNCTIONS
Make use of all available datasets to accomplish business objectives.
Initiate and monitor systems, process, and recurring reports in accordance with production schedule (weekly, monthly quarterly etc.), to ensure accuracy and timely execution.
Document requirements for the creation of new dashboards, visualizations and reports in BI tools.
Use existing data, processes, and reports to fulfill the needs of field leadership, stores as well as any departments supported by the store operations data analysis team.
Assist with design and creation of new dashboards and reports as assigned.
Provide insight into existing operational reports, TN applications, dashboards, and identify opportunities for improvement.
Communicate with responsible parties when abnormalities are identified.
Troubleshooting the reporting database environment and reports.
Learn and use all data sources and software used by Store Operations data analysis team, including BI tools, data warehouse, adhoc data feeds such as CSV or Excel files, Access or Postgres databases to provide insights to the store operations department and other supported departments.
Training end users on new reports and dashboards.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
Required:
2 year or 4 year degree, preferably in Business, CIS, Computer Science, Economics or Mathematics.
Strong analytical skills.
Complex query statement construction experience (SQL/MySQL).
Acute attention to detail prior experience working with relational databases, large datasets, and ETL processes.
Experience transforming data into usable information for non-technical consumers.
Strong interpersonal, communication, and collaborative skills.
Able to provide a high level of customer service inside and outside the team.
Proficient with Excel, Access, and Word.
Flexible and adaptable to new direction as business problems change.
Desired:
DOMO or other Bi Tools experience
Excellent verbal/writing skills.
Self-motivated Ability to work with limited supervision.
Collaboration and creativity, Commitment to participate in additional training.
Experience in Automotive Retail or Service Industries.
O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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