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Contract Python Data Analysis Jobs in St Louis, MO

Data Scientist

Clayton, MO ยท On-site

$67.50 - $96.43/hr

This position is a 6โ€‘month contract. Key Responsibilities * Develop and implement deep learning ... Proficiency in Python or R for data analysis and modeling tasks. * Handsโ€‘on experience with deep ...

Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn). * Development experience with BI ...

Data Analyst

Creve Coeur, MO ยท On-site

$7/hr

Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn). * Development experience with BI ...

Data Analyst

Creve Coeur, MO ยท On-site

$71 - $135/hr

Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn). * Development experience with BI ...

New

Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn). * Development experience with BI ...

Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn). Development experience with BI ...

Responsibilities may shift based on contract requirements, mission needs, or organizational ... Experience with modern analytics and visualization technologies such as SQL, Python, Power BI ...

Certifications in Python and other programming languages * Experience implementing machine learning solutions * Advanced experience with geospatial analysis and data manipulation * Deep understanding ...

Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

Showing results 21-40

Contract Python Data Analysis information

See St Louis, MO salary details

$12

$56

$83

How much do contract python data analysis jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract python data analysis in St. Louis, MO is $56.99, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.76 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in St. Louis, MO?

The most popular types of Python Data Analysis jobs in St. Louis, MO are:

What are popular job titles related to Contract Python Data Analysis jobs in St. Louis, MO?

For Contract Python Data Analysis jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in St. Louis, MO look for?

The top searched job categories for Contract Python Data Analysis jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Contract Python Data Analysis jobs?

Cities near St. Louis, MO with the most Contract Python Data Analysis job openings:

Infographic showing various Contract Python Data Analysis job openings in St. Louis, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,546 per year, or $57 per hour.

Cyber Data Analysis Engineer 718

Freedom Technology Solutions Group

Saint Louis, MO โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Freedom Technology Solutions Groups is looking to add a Cyber Data Analysis Engineer to the team in both St. Louis, MO Springfield, VA.

The Opportunity:

Responsible for building/maintaining data-pipelines for associated information used for cybersecurity investigation within the enterprise. In this role you will have the opportunity to contribute to one or more areas including (but not limited to) data ingest, data normalization, SIEM management, Linux/Windows host administration, virtual machine (VM) management, and cloud asset management. To support our team, you will need to be experienced, driven, and have strong Linux, Windows, and/or networking experience. You will be collaborating closely with peers and customers which means you need to be an active listener, detail oriented, and a clear communicator.

Responsibilities:

  • Resolve escalated issues and perform root cause analysis for complex issues
  • Have ability to communicate with program SMEs as well as other customers with less technical backgrounds
  • Demonstrate a high attention to detail, examining every aspect of the system
  • Be able to multi-task, working with several different customers in various stages of onboarding process
  • Apply Configuration Management disciplines to maintain hardware/software revisions, security patches, hardening, and documentation
  • Coordinate and conducts event collection, log management, event management, compliance activities, and identity monitoring activities for the customer's system
  • Works with other Service Providers to support areas of common interest
  • Provide all preventative and corrective maintenance to ensure consistent, reliable, and secure service availability
  • Maintain system availability and reliability with a threshold of 99.99%
  • Detect and ticket degradations (volume/velocity) of all SIEM data flows within 60 minutes of the start of the degradation
  • Perform day-to-day maintenance, and specific scheduled maintenance activities that result from manufacturers recommended service intervals, alerts, bulletins, available patches, and updates according to agency approved change management processes
  • Execute emergency maintenance actions with sufficient urgency to preclude unacceptable outage durations, approved by the Government prior to execution, and coordinated through and approved by CSOC and ESC government management
  • Perform all development, engineering, testing, integration, and implementation actions necessary for major vendor revisions
  • Retain documentation regarding loss of event logs (e.g. June 5-7th DNS logs were not ingested from SBU and are lost)
  • Configure all assets assigned to this service within the Government Furnished Information - Software Tools list in accordance with all Federal, DoD, IC, and NGA laws, directives, orders, polices, guidance, procedures etc.
  • Utilize agency approved ticketing systems to document, track, assign, update, and coordinate all engineering, integration, configuration, and maintenance actions

Qualifications:

Required:

  • 5+ years of Systems Engineer or similar experience
  • IAT II certification and obtain CSSP Infrastructure Support certification 120 days of hireย 
  • Possesses a strong work ethic, be self-directed, and be a detail-oriented professional
  • Willing to learn and adapt to new, cutting-edge technologies
  • Possess excellent time management skills and the drive to work unsupervised
  • Demonstrated ability to use problem solving techniques such as root cause analysis to resolve issues
  • Advanced Linux proficiency
  • Knowledge of network communication principles, common infrastructure components (IPAM, DNS, DHCP), load balancers, firewalls, virtual and physical infrastructure design
  • Experience with hypervisors such as VMware ESXi, Citrix XenServer, Microsoft Hyper-V
  • Advanced knowledge of systems engineering principles, methods, and techniques

Desired:

  • Experience with public clouds such as AWS, Google, Rackspace.
  • Experience with private clouds such as VMWare, OpenStack.
  • Strong background in Unix, or Windows servers.
  • Experience with SIEM technologies such as Elastic, Splunk, and/or ArcSight
  • Familiarity with Cribl data aggregation/normalization technology
  • Scripting experience with Python, Bash, and/