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Part Time Data & Analytics Jobs in Missouri (NOW HIRING)

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Behavior Analyst (BCBA)

Kansas City, MO · On-site

$65K - $90K/yr

Exempt This position may be full time or part time, depending on availability. Pay Rate:$65,000-$90 ... Create data collection instruments, graph collected data, and critically analyze graphed data to ...

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Behavior Analyst (BCBA)

Kansas City, MO · On-site

$65K - $90K/yr

Exempt This position may be full time or part time, depending on availability. Pay Rate:$65,000-$90 ... Create data collection instruments, graph collected data, and critically analyze graphed data to ...

New Dawn ABA MO

MO · Hybrid

$70 - $95/hr

Position Part-Time * Schedule: Evening Board Certified Behavior Analyst (BCBA) Responsibilities ... Monitor client progress and update goals based on data * Maintain compliance with ethical, clinical ...

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All JobsData Analytics JobsPart Time Data & Analytics JobsPart Time Data & Analytics Jobs in Missouri

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How much do part time data & analytics jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for part time data & analytics in Missouri is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $58.17 per hour, depending on experience, location, and employer.

How much do part-time data analysts make?

Part-time data analysts typically earn between $20 and $40 per hour, depending on experience, location, and industry. Salaries can vary based on skills in tools like Excel, SQL, or Python, and whether the role requires specialized knowledge or certifications.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or consulting capacities. Many companies offer part-time or flexible schedules for data analysis positions, which may require proficiency in tools like Excel, SQL, or Python. Availability depends on the employer's needs and the specific job requirements.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment and contextual understanding crucial in the analytics process.

What are the key skills and qualifications needed to thrive as a Part Time Data & Analytics professional, and why are they important?

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

Is 40 too late for data science?

Part Time Data & Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant certifications, such as in SQL or Python, and building a portfolio can help demonstrate capability regardless of age.

What are part-time data & analytics jobs?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part-time Data & Analytics professional typically collaborate with full-time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
What are the most commonly searched types of Data & Analytics jobs in Missouri? The most popular types of Data & Analytics jobs in Missouri are:
What are popular job titles related to Part Time Data & Analytics jobs in Missouri? For Part Time Data & Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Part Time Data & Analytics jobs in Missouri look for? The top searched job categories for Part Time Data & Analytics jobs in Missouri are:
What cities in Missouri are hiring for Part Time Data & Analytics jobs? Cities in Missouri with the most Part Time Data & Analytics job openings:
Part Time Data Analytics jobs near you
Infographic showing various Part Time Data & Analytics job openings in Missouri as of June 2026, with employment types broken down into 61% Full Time, 36% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $106,814 per year, or $51.4 per hour.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Posted 8 days ago

Saint Louis University rating

8.7

Company rating: 8.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

40th of 537 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 Professor positions 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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