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Data Analytics Jobs in Springfield, MO (NOW HIRING)

This individual will play a key role in modernizing enterprise analytics capabilities and supporting omnichannel customer intelligence initiatives. Key Responsibilities Lead enterprise data ...

Identify and implement improvements in replenishment processes, leveraging best practices and analytics to streamline workflows. * Data Analysis : Conduct in-depth analysis of sales trends, lead ...

Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. * Collaboration ...

The successful candidate will use data-driven insights to support business objectives, minimize ... Data Analysis : Gather, analyze, and interpret inventory and sales data to optimize stock levels ...

Digital Analyst Internships

Springfield, MO · On-site

$89K - $106K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Springfield, MO

$89K - $106K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Staff Accountant

Springfield, MO · On-site

$50K - $65K/yr

Technical Accounting & Data Analytics research for the Company. * Build relationships cross-functionally to foster collaboration both inside and outside of the Finance team. * Support the Director of ...

Showing results 21-40

Data Analytics information

See Springfield, MO salary details

$20

$46

$80

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Springfield, MO is $46.68, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $52.88 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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:
Infographic showing various Data Analytics 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $97,098 per year, or $46.7 per hour.

Principal Data Engineer

Capstone IT

Springfield, MO • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


Job description

Job Description Principal Data Engineer *** Please note, this role is not open to third party candidates or agencies and does not provide sponsorship opportunities now or in the future. This opportunity is structured as a contract-to-hire engagement with the intent for the consultant to transition into a full-time role and relocate to the client site within the next 12 months. The client is utilizing a contract engagement model to support an accelerated onboarding timeline and faster hiring process.

Capstone IT is seeking a Principal Data Engineer to lead enterprise-scale data engineering initiatives supporting eCommerce, customer analytics, and marketing intelligence platforms. This role will be responsible for designing, optimizing, and delivering modern cloud-based data solutions leveraging Snowflake, Google Cloud Platform (GCP), BigQuery, and real-time streaming technologies. The ideal candidate combines strong technical expertise with business acumen and can partner effectively with marketing, analytics, product, and executive leadership teams to deliver scalable, data-driven solutions.

This individual will play a key role in modernizing enterprise analytics capabilities and supporting omnichannel customer intelligence initiatives. Key Responsibilities Lead enterprise data engineering initiatives across eCommerce, customer analytics, and omnichannel data environments Design, develop, and optimize scalable ELT/ETL pipelines supporting enterprise analytics and reporting Build and maintain high-performance Snowflake and BigQuery data architectures Develop and support real-time and batch data processing solutions using cloud-native technologies and streaming platforms Partner with Product Owners, Business Analysts, marketing teams, and executive leadership to translate business requirements into scalable technical solutions Deliver actionable analytics, dashboards, and executive-level reporting insights Ensure data quality through governance, cleansing, transformation, integration, and validation processes Drive architectural decisions related to enterprise data platforms, cloud modernization, and streaming ecosystems Support BI and analytics environments utilizing tools such as Domo, Sigma, Tableau, and related visualization technologies Manage offshore engineering resources and vendor relationships, including deliverables, budgeting, performance management, and capacity planning Support customer behavior analytics, digital interaction analysis, and marketing attribution initiatives Required Skills Snowflake Google Cloud Platform (GCP) BigQuery ELT/ETL Pipeline Development Kafka and/or NiFi Cloud Data Architecture SQL & Data Modeling Real-Time Data Streaming Business Intelligence & Reporting Tools Executive Stakeholder Communication Required Qualifications 15+ years of experience in data engineering, enterprise data platforms, and large-scale pipeline development Hands-on expertise with Snowflake, GCP, and BigQuery Strong experience designing and supporting modern cloud-native data architectures and ELT/ETL frameworks Experience with real-time streaming technologies such as Kafka, NiFi, or similar platforms Proven ability to deliver executive-level reporting and data-driven insights to business and marketing stakeholders Experience leading offshore teams and/or managing global vendor relationships Background supporting retail or eCommerce environments Bachelor's degree in Computer Science, Information Systems, Engineering, or related field Preferred Qualifications Experience with BI and visualization tools including Domo, Sigma, Tableau, or similar platforms Experience supporting customer data platforms (CDP) and omnichannel analytics initiatives Strong understanding of Google Analytics, customer analytics, and marketing attribution data models Experience with advanced cloud-native data services and enterprise streaming ecosystems Why Join Opportunity to lead enterprise-scale modernization and analytics initiatives High-visibility role partnering with executive leadership and marketing teams Modern cloud and data technology environment Long-term contract-to-hire opportunity with strong growth potential Featured Benefits Medical Insurance Dental Insurance Vision Insurance Company Matching 401(k) Paid Relocation Assistance Capstone Consulting is an EEO employer. Capstone website: http://www.capstonec.com/ Like us on Facebook: https://www.facebook.com/CapstoneITStaffingSolutions/ Follow us on Twitter: https://twitter.com/capstone__IT/ Connect with us on LinkedIn: https://linkedin.com/company/capstone-consulting/