1

Associate Degree In Data Analytics Jobs in St Louis, MO

Data Analytics Coop

Saint Louis, MO ยท On-site

$21 - $30/hr

Qualifications Current student status pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Mathematics, Statistics, Computer Science, Information Systems, Business, or an ...

Qualifications Current student status pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Mathematics, Statistics, Computer Science, Information Systems, Business, or an ...

Data Analyst Senior

Saint Louis, MO ยท On-site +1

$107K - $155K/yr

In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Data Analytics & Visualization Engineer

Shiloh, IL ยท On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ...

Data Analytics & Visualization Engineer

Shiloh, IL ยท On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ...

Data Analytics & Visualization Engineer

Shiloh, IL ยท On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ...

Data Analyst Senior

Saint Louis, MO ยท On-site

$75 - $95/hr

Four (4) years of experience in data analytics, public accounting, financial consulting, computer science, or a related field is required; five years is preferred. * Bachelor's degree is required. A ...

New

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

Data Governance- Manager

Saint Louis, MO ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Data Strategy-Manager

Saint Louis, MO ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

next page

Showing results 1-20

Associate Degree In Data Analytics information

See St Louis, MO salary details

$3.2K

$6.1K

$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.

What are popular job titles related to Associate Degree In Data Analytics jobs in St. Louis, MO?

For Associate Degree In Data Analytics jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in St. Louis, MO look for?

The top searched job categories for Associate Degree In Data Analytics jobs in St. Louis, MO are:

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

Cities near St. Louis, MO with the most Associate Degree In Data Analytics job openings:

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 Analyst

Endo International

Hazelwood, MO โ€ข On-site

Full-time

Posted 6 days ago


Job description

Why Us?

At Par Health, we believe great healthcare is built on getting the essentials right. We're looking for passionate, talented individuals who share our commitment to improving lives. With a global workforce, we lead with pride and purpose-prioritizing quality and safety while fostering a culture of continuous improvement, accountability, and teamwork. Elevating the Essentials isn't just our tagline, it's the higher standard we live by every day.

Job Description Summary

The Data & Analytics Associate supports the Data, Analytics & Automation Center of Excellence by assisting with reporting, dashboard development, data preparation, data quality activities, business analysis and automation initiatives. This role works closely with data engineers, analytics architects, BI developers and business stakeholders to help deliver trusted data products, analytics solutions and automation opportunities across the organization.
This is a developmental role intended to provide broad exposure to modern data platforms, Power BI, Microsoft Fabric, Power Platform and Microsoft Copilot technologies while building foundational technical, analytical and business skills.

Job Description

Data Analysis & Reporting

  • Assist in the development and maintenance of Power BI dashboards, reports and scorecards.
  • Create basic visualizations, KPI tracking reports and recurring analytics summaries.
  • Support business users in understanding available reports, datasets and data assets.
  • Validate report results and investigate apparent data discrepancies or unusual trends.
  • Perform ad hoc analysis to support business questions, operational reviews and decision-making.
Data Management & Quality
  • Support data cleansing, validation, profiling and quality improvement activities.
  • Assist with documenting data definitions, source systems, business rules and KPI calculations.
  • Help maintain metadata, data catalogs, dashboard inventories and data asset documentation.
  • Participate in testing datasets, pipelines, reports and data transformations prior to release.
  • Escalate data quality issues and support root-cause analysis with senior technical team members.
Automation & Process Improvement
  • Help identify opportunities for workflow improvement, report automation and manual-effort reduction.
  • Assist with development, testing and support of Power Automate flows and lightweight Power Platform solutions.
  • Support Power Apps and low-code tools used by business teams, under guidance from senior developers.
  • Document current-state processes, business requirements and success criteria for automation use cases.
  • Participate in user acceptance testing and post-deployment support for automation solutions.
Business Engagement & CoE Operations
  • Gather and document business requirements for reporting, analytics and automation requests.
  • Support the CoE intake process, request tracking, prioritization preparation and status reporting.
  • Assist with training materials, quick reference guides, knowledge articles and user communications.
  • Maintain solution documentation, meeting notes, action items and delivery artifacts.
  • Contribute to governance standards, templates and continuous improvement practices for the CoE.
Copilot and AI-Enabled Analytics Requirements
  • Demonstrated interest in Microsoft Copilot, generative AI and AI-enabled productivity tools.
  • Ability to use Microsoft 365 Copilot or comparable AI tools to improve documentation, analysis, meeting preparation, summarization and communication tasks.
  • Willingness to learn Power BI Copilot, Fabric Copilot, Copilot Studio and related Microsoft AI capabilities as the CoE matures.
  • Ability to validate AI-generated outputs against trusted data sources, documented definitions and business context before reuse or publication.
  • Ability to help business users understand effective prompting, responsible AI usage and appropriate limits of Copilot-generated insights.
  • Interest in supporting Copilot adoption by creating examples, quick tips, training materials and use-case documentation.

Education & Experience

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Mathematics, Statistics, Engineering or a related field; equivalent education and experience may be considered.

0 to 3 years of experience in data analytics, reporting, business intelligence, information technology, business analysis or a related area. Internship or project experience is acceptable.

Knowledge

Familiarity with Power BI or a comparable reporting/visualization tool.

Basic understanding of databases, data relationships, reporting concepts and data quality principles.

Demonstrated curiosity, attention to detail and willingness to learn new technical tools.

Skills & Abilities

  • Strong Excel skills, including formulas, tables, pivots and basic data analysis techniques.
  • Basic SQL experience or demonstrated ability to query and work with structured datasets.
  • Strong written and verbal communication skills with the ability to ask good questions and document findings clearly.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

EEO Statement:

We comply with all applicable federal, state, and local laws prohibiting discrimination and harassment, and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or genetic information, or any other classification protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.