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Data Analytics Associate Jobs in Edwardsville, IL

RISA

Cyber Analytics Engineer III

Saint Louis, MO · On-site

$78K - $86K/yr

Work with the Cyber Data Analytics team on SIEM alert efficiency, evaluating valid alerts against ... Equivalents accepted - Master's plus 4, Associate's plus 8, or High School diploma/GED plus 10. * ...

RISA

Cyber Analytics Engineer III

Saint Louis, MO · On-site

$78K - $86K/yr

Work with the Cyber Data Analytics team on SIEM alert efficiency, evaluating valid alerts against ... Equivalents accepted - Master's plus 4, Associate's plus 8, or High School diploma/GED plus 10. * ...

Nestle

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

Design andmaintainreusable analytics workflows and automated pipelines for production-grade ... We consider our associates our most valuable assets. Please apply for full consideration. The ...

Zelis

Data Security Lead ( DLP/DSPM)

Saint Louis, MO · On-site

Every associate is expected - and empowered - to partner with AI to challenge the status quo ... This individual works closely with Security, Infrastructure, Engineering, Data & Analytics, Privacy ...

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All JobsData Analytics Associate JobsData Analytics Associate Jobs in Edwardsville, IL

Data Analytics Associate information

See Edwardsville, IL salary details

$3K

$5.9K

$8.4K

How much do data analytics associate jobs pay per month?

As of Sep 2, 2026, the average monthly pay for data analytics associate in Edwardsville, IL is $5,902.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,358.33 and $6,291.67 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the most commonly searched types of Data Analytics jobs in Edwardsville, IL?

The most popular types of Data Analytics jobs in Edwardsville, IL are:

What cities near Edwardsville, IL are hiring for Data Analytics Associate jobs?

Cities near Edwardsville, IL with the most Data Analytics Associate job openings:

Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Edwardsville, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $70,826 per year, or $34.1 per hour.

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO

Part-time

Re-posted 28 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

35th of 628 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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