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

Capstone IT

Principal Data Engineer

Springfield, MO

... 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 ...

micro1 AI

Private Funds Attorney - Remote

Springfield, MO · Remote

$90 - $130/hr

... refine data, guidelines, and best practices for AI-driven contract review solutions. Required ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

AMRI

Quality Control Analyst I, II or III

Springfield, MO · On-site

$20.25 - $27.25/hr

... contract development and manufacturing organization (CDMO) with over 30 years of experience ... Evaluate data for trends * Support supervisors in OOS Investigations and complete CAPA requirements

AMRI

Quality Control Analyst I, II or III

Springfield, MO · On-site

$20.25 - $27.25/hr

... contract development and manufacturing organization (CDMO) with over 30 years of experience ... Evaluate data for trends * Support supervisors in OOS Investigations and complete CAPA requirements

AMRI

Continuous Improvement Engineer

Springfield, MO · On-site

$66K - $88K/yr

Curia is a global contract development and manufacturing organization (CDMO) with over 30 years of ... Identify and prioritize improvement opportunities through data analysis, process observation, and ...

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All JobsContract Data Analyst JobsContract Data Analyst Jobs in Springfield, MO

Contract Data Analyst information

See Springfield, MO salary details

$32K

$77.8K

$128K

How much do contract data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for contract data analyst in Springfield, MO is $77,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,300.00 per year, depending on experience, location, and employer.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, data engineers, and quantitative analysts. Each type focuses on different aspects such as interpreting business needs, developing models, managing data infrastructure, or performing statistical analysis, often requiring specific skills and tools like SQL, Python, or Excel.

What is a contract data analyst?

A contract data analyst is a professional hired on a temporary basis to analyze data, generate reports, and support decision-making processes within an organization. They typically work with data tools like Excel, SQL, or data visualization software and may need relevant certifications or experience in data analysis. Contract roles often have fixed durations and specific project goals.

How does a Contract Data Analyst typically collaborate with legal and procurement teams during the contract review process?

A Contract Data Analyst works closely with legal and procurement teams to ensure that contract data is accurately extracted, analyzed, and interpreted. They often participate in cross-functional meetings to clarify contract terms, address data discrepancies, and provide data-driven insights that support negotiation and compliance efforts. Effective communication and attention to detail are essential, as these teams rely on the analyst to identify trends, risks, and opportunities within large volumes of contract data. This collaborative approach helps organizations make informed decisions and maintain regulatory compliance.

What Are Data Analyst Contract Jobs?

Data analyst contract jobs are short-term or long-term projects for independent contractors to collect and analyze a company's data for a specific purpose. As a contract data analyst, you may help determine the scope of the project, provide guidance and support to staff, help analyze trends, recommend ways of gathering and processing information, and produce reports for executives and managers. Data analysts who work on a contract often use data visualization tools to help explain results and assess data for accuracy, consistency, and logic. Depending on the company, you may also work with information dashboards or format data from multiple sources so it can be analyzed from a central point.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, providing insights, and making strategic decisions that require human judgment and domain expertise. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.

What are contract data analysts?

Contract data analysts are professionals hired on a temporary or project basis to collect, process, and analyze data for organizations. They help businesses make data-driven decisions by interpreting complex information, identifying trends, and generating reports. Contract data analysts often work with various teams to solve specific business challenges or support ongoing projects, bringing flexibility and specialized expertise without the commitment of a full-time hire.

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

To thrive as a Contract Data Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data management, typically supported by a degree in business, finance, or a related field. Proficiency in data analysis tools such as Excel, SQL, and contract management systems, as well as certifications like Certified Analytics Professional (CAP), are commonly required. Strong problem-solving abilities, effective communication, and organizational skills help you interpret complex contract data and collaborate with stakeholders. These skills ensure accurate contract analysis, risk mitigation, and informed decision-making for organizational success.

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

AspectContract Data AnalystContract Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, Machine Learning
Work EnvironmentBusiness, finance, healthcare, or marketing sectors; typically in office or remoteTech, finance, or research sectors; often in collaborative or research settings
Employer & Industry UsageUsed by companies needing data analysis for decision-makingUsed by organizations developing predictive models and advanced analytics

While both roles involve working with data, Contract Data Analysts focus on interpreting data and generating reports, whereas Contract Data Scientists develop models and algorithms for deeper insights. The choice depends on the complexity of tasks and required technical skills.

Is 40 too late for data science?

A contract data analyst role typically requires relevant skills in data analysis, programming, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals successfully transition into data science or related roles at age 40 or later by gaining necessary certifications and experience.
More about Contract 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 Contract Data Analyst jobs in Springfield, MO? For Contract Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Contract Data Analyst jobs in Springfield, MO look for? The top searched job categories for Contract Data Analyst jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Contract Data Analyst jobs? Cities near Springfield, MO with the most Contract Data Analyst job openings:
Contract Data Analyst jobs near you
Infographic showing various Contract Data Analyst job openings in Springfield, MO as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,765 per year, or $37.4 per hour.
Principal Data Engineer

Principal Data Engineer

Capstone IT

Springfield, MO

Other

Medical, Dental, Vision, Retirement

Re-posted 20 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/

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