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Associate Degree In Data Analytics Jobs in St Louis, MO

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical resource with effective communication ...

Bayer

Data Analyst

Creve Coeur, MO

$71K - $135K/yr

Bachelor's degree in Business, Economics, Statistics, Computer Science, Math or a related quantitative discipline and at least 4 years of relevant analytic experience. Understanding of master data ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in St. Louis, MO

Associate Degree In Data Analytics information

See St Louis, MO salary details

$3.2K

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$8.8K

How much do associate degree in data analytics jobs pay per month?

As of Aug 21, 2026, the average monthly pay for associate degree in data analytics in St. Louis, MO is $6,115.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,550.00 and $6,525.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

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What cities near St. Louis, MO are hiring for Associate Degree In Data Analytics jobs?

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Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $73,391 per year, or $35.3 per hour.

Data Analytics & Visualization Engineer

C3EL

Scott Air Force Base, IL • On-site

$110K - $133K/yr

Full-time

Posted 20 days ago

Job description

Overview:

Job Title: Data Analytics & Visualization Engineer

Security Clearance: Secret

Location: Scott AFB, IL

(Due to the nature of the work and contract requirements, U.S. Citizenship is required.)

Description:

C3EL is seeking a Data Analytics & Visualization Engineer for the Global Solution Management – Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. This is an exciting opportunity to work in a fast-paced environment where innovation, collaboration, and growth are at the forefront.

This role is responsible for transforming raw data into clean, reliable, and accessible datasets, and for delivering actionable insights through advanced analytics and compelling visualizations. The primary visualization tool for this position is Kibana or experience with other similar tools (i.e. Tableau, Power BI, Grafana) is preferred. The candidate will bridge the gap between raw data and operational decision-making, applying best practices in data quality, analytics, and visualization to support mission objectives. This position is ideal for candidates who are passionate about transforming data into insights, enabling operational excellence, and driving mission success through analytics and visualization, with Kibana as the primary visualization platform.

As a key Real-Time Visibility team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Kibana platform. You will also work with operational end users and support teams to perform requirements analysis, as well as design, develop and demonstrate UI mockups and wireframes.

Responsibilities will include, but not be limited to:

  • Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
  • Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions.
  • Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders.
  • Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection, and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines.
  • Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
  • Engage with stakeholders to understand business needs, operational challenges, and data requirements.
  • Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
  • Develop and maintain self-service analytics tools and reusable data assets to empower end users.
  • Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
  • Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.
Minimum Qualifications:
  • U.S. Citizenship.
  • An active, in-scope US Government issued Secret clearance before the start date.
  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.
  • Demonstrable experience designing and building data visualizations and dashboards using Kibana.
  • Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
  • Strong understanding of data modeling, ETL processes, and data pipeline development.
  • Ability to translate business requirements into technical solutions and actionable insights.
  • Excellent communication skills, with the ability to present complex data findings to diverse audiences.
  • Experience with version control systems (e.g., Git) and collaborative development environments.
  • Strong attention to detail and commitment to data quality and reliability.
  • Strong communication and documentation skills for collaboration and knowledge sharing.
  • Experience in application integration design and strong communication skills for collaboration with virtual teams.
  • Must be able to commute to Scott AFB, IL for full-time onsite support.
Desired Qualifications:
  • Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
  • Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
  • Experience developing self-service analytics solutions and reusable data assets.
  • Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
  • Knowledge of data governance, security, and compliance best practices.
  • Experience documenting data models, business logic, and transformation processes.
  • Experience working in mission-driven or operational environments.
  • Experience developing and deploying software in a DoD environment (DISA experience is a plus).
  • Experience with DISA and DoD Networks.
  • Understanding of network routing devices and network device configurations
  • Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
  • Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
  • Familiarity with Kubernetes deployment, Agile methodologies, and tools.
  • Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
  • Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence.
  • Strong understanding of Agile methodologies, including Scrum and SAFe.
  • Experience working remotely with a geographically dispersed team.
Education:
  • A Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience is required.