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Data Analytics Jobs in Springfield, MO (NOW HIRING)

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

This will be accomplished predominantly through data analytics to detect irregular activity and trends. The ability to detect anomalies in data and build out actionable and clear reporting and/or ...

Senior Business Analyst

Springfield, MO

$78K - $101K/yr

... data analytics, performance metrics, and market trends • Independently gather, analyze, and document highly complex business, functional, and non-functional requirements for complex projects while ...

Senior Data Scientist

Springfield, MO · On-site

$90K - $145K/yr

This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the ...

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Data Analytics information

See Springfield, MO salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data analytics in Springfield, MO is $49.79, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $56.39 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Springfield, MO? The most popular types of Data Analytics jobs in Springfield, MO are:
What are popular job titles related to Data Analytics jobs in Springfield, MO? For Data Analytics jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Springfield, MO look for? The top searched job categories for Data Analytics jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Analytics jobs? Cities near Springfield, MO with the most Data Analytics job openings:
Store Operations Data Analyst

Store Operations Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

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


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,826 frontline employees who took The Breakroom Quiz

536th of 713 rated retailers


Job description

Job Summary:
O'Reilly Auto Parts is a company with a strong promote-from-within philosophy and a proven track record of growth and stability. They are seeking a Store Operations Data Analyst to work with field and corporate leadership to organize and present key business insights using data analysis and visualization tools, ultimately helping to make important operational decisions based on performance KPIs and other business needs.
Responsibilities:
• 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.
Qualifications:
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
Preferred:
• 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
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.

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