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Data Analytics Trainee Jobs in Kansas (NOW HIRING)

Experience mentoring students, trainees, or junior faculty in research or scholarly activity ... Experience with IRB submissions, study design, data analysis, manuscript development, and journal ...

Certified Residential Appraiser

Wichita, KS · On-site

$84K - $104K/yr

Proficient at selecting comparable properties to the subject, analyzing market data, and valuing ... On occasion, work with Trainees * Uphold continuing education and credentialization requirements

Certified Residential Appraiser

Wichita, KS · On-site

$84K - $104K/yr

Proficient at selecting comparable properties to the subject, analyzing market data, and valuing ... On occasion, work with Trainees * Uphold continuing education and credentialization requirements

Coaches and develops lawn specialists and trainees. Works with other managers to identify ways to ... Analyzing operational data to identify trends, challenges, and opportunities for improvement.

Coaches and develops lawn specialists and trainees. Works with other managers to identify ways to ... Analyzing operational data to identify trends, challenges, and opportunities for improvement.

... analyzing scan data for welds, structural components, or other critical assets * Ability to prepare reports, maintain inspection records, and support on-the-job training for technicians or trainees

Maintain direct contact with and monitor the development of management trainees. * Adhere to all ... Analyze previous and projected data to generate an accurate reforecast. * Prepare and conduct all ...

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Data Analytics Trainee information

See Kansas salary details

$29.4K

$72.7K

$124.9K

How much do data analytics trainee jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analytics trainee in Kansas is $72,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $86,100.00 per year, depending on experience, location, and employer.

What does a Data Analytics Trainee do?

A Data Analytics Trainee is an entry-level professional who learns to collect, process, and analyze data to help organizations make informed decisions. Their responsibilities typically include cleaning and organizing data, using statistical tools to identify trends, and creating basic reports or visualizations. They often work under the supervision of experienced analysts, gaining practical experience with data analytics tools and techniques. This role is designed to provide foundational skills and knowledge needed for a career in data analytics.

Is 30 too late for data science?

For a Data Analytics Trainee, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, and gaining practical experience through projects or certifications. Age is less important than skill development and continuous learning in this field.

What are the key skills and qualifications needed to thrive as a Data Analytics Trainee, and why are they important?

To thrive as a Data Analytics Trainee, you need foundational knowledge of statistics, data analysis, and basic programming skills—often supported by a relevant degree or coursework in data science, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is highly valued, and introductory certifications in analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present data insights clearly. These skills are critical for turning raw data into actionable information, supporting decision-making, and building a successful analytics career.

What does a data analyst trainee do?

A data analyst trainee assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision.

What types of projects can a Data Analytics Trainee expect to work on during their training period?

As a Data Analytics Trainee, you can expect to work on a variety of projects that involve collecting, cleaning, and analyzing datasets to uncover insights that support business decisions. Common tasks include preparing data for analysis, building dashboards for stakeholders, and assisting with the creation of reports or presentations. You may also collaborate with team members on real-world case studies, learning to use popular analytics tools such as Excel, SQL, or Python. These projects are designed to build your technical skills while giving you exposure to practical business challenges.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting insights, making strategic decisions, and applying domain knowledge. The role of a data analyst is evolving to include working alongside AI and developing skills in data visualization, programming, and critical thinking. Human expertise remains crucial for understanding context and ensuring accurate, actionable results.

How can I get into data analytics with no experience?

Data analytics trainees can start by learning foundational skills such as Excel, SQL, and basic statistics through online courses or tutorials. Gaining hands-on experience with real datasets and earning certifications like Google Data Analytics can improve employability, even without prior work experience.
What are the most commonly searched types of Data Analytics jobs in Kansas? The most popular types of Data Analytics jobs in Kansas are:
What are popular job titles related to Data Analytics Trainee jobs in Kansas? For Data Analytics Trainee jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Analytics Trainee jobs in Kansas look for? The top searched job categories for Data Analytics Trainee jobs in Kansas are:
What cities in Kansas are hiring for Data Analytics Trainee jobs? Cities in Kansas with the most Data Analytics Trainee job openings:
Infographic showing various Data Analytics Trainee job openings in Kansas as of July 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $72,702 per year, or $35 per hour.
Assistant Professor of Research

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 10 days ago


Job description

Job Description:

Kansas College of Osteopathic Medicine is seeking a highly collaborative, productive, and mission-driven Assistant Professor of Research to help expand a strong culture of scholarship across the institution.

This is a hands-on, output-driven position for someone who thrives on mentoring others, building research pipelines, and helping students and faculty turn good ideas into meaningful scholarly work. The person in this role will partner closely with medical students, clinical faculty, and community collaborators to develop feasible, rigorous, and publishable projects that move efficiently from concept to completion.

This is not a purely theoretical research role. It is a high-engagement faculty position centered on daily mentorship, project momentum, and tangible academic outcomes. The ideal candidate will be someone who can manage multiple concurrent projects, provide strong methodological guidance, and consistently help others produce abstracts, posters, manuscripts, and grant-ready ideas.

Why This Role Matters

This position is designed to strengthen the institution's research infrastructure by expanding mentorship capacity, increasing scholarly productivity, and supporting student and faculty success. The individual in this role will play a central part in building and sustaining an active pipeline of scholarships across the medical school.

Projects may include case reports, systematic and scoping reviews, retrospective chart reviews, pilot studies, survey-based studies, quality improvement initiatives, and community-based or population health research.

SPECIFIC RESPONSIBILITIES:

Mentor students and faculty through the full research process
Provide hands-on support across all phases of scholarship, including:

  • refining research questions
  • selecting study designs
  • preparing IRB applications
  • coordinating data collection
  • supporting analysis and interpretation
  • developing abstracts and posters
  • drafting and revising manuscripts
  • guiding journal submission and dissemination

Keep projects moving
Manage multiple small-scale research and scholarly projects at once, helping ensure that promising ideas do not stall and that teams continue making measurable progress toward presentation and publication.

Build scholarly output
Contribute to an institutional culture that values productivity, rigor, and follow-through by helping generate:

  • peer-reviewed publications
  • conference presentations
  • posters
  • faculty and student scholarly products
  • grant-ready project concepts

Support grant development
Assist with internal and external grant development and help students and faculty shape scholarly ideas into fundable projects when appropriate.

Contribute to teaching
Carry a modest teaching role based on expertise and interest. Teaching may include lectures, workshops, small-group sessions, or other educational activities related to research and scholarship within the medical school curriculum.

The Ideal Candidate

The ideal candidate is a faculty member who is:

  • deeply collaborative and student-centered
  • highly organized and able to manage multiple active projects
  • comfortable working in an applied, fast-moving academic environment
  • skilled at translating ideas into feasible studies
  • committed to helping students and faculty publish their work
  • motivated by impact, mentorship, and institutional growth

This role is especially well suited for someone who enjoys the day-to-day work of mentoring others and helping them produce meaningful scholarships, rather than focusing solely on an independent research agenda.

QUALIFICATION(S):

Required Qualifications

  • PhD in Public Health, Epidemiology, Population Health, Health Services Research, Biostatistics, Statistics, Clinical Research, Community or Global Health, Implementation Science, Biomedical or Health Informatics, Medical Sociology, Behavioral Health, Health Policy, Health Professions Education, Clinical and Translational Science, or another closely related discipline relevant to applied health research and scholarship
  • Demonstrated scholarly productivity, including peer-reviewed publications and presentations
  • Experience mentoring students, trainees, or junior faculty in research or scholarly activity
  • Demonstrated ability to independently manage multiple small-scale research projects annually
  • Strong written and verbal communication skills
  • Ability to work collaboratively across disciplines

Preferred Qualifications

  • Experience working with medical students or in academic medicine
  • Experience mentoring clinical faculty in research or scholarly activity
  • Experience with IRB submissions, study design, data analysis, manuscript development, and journal submission
  • Experience in rural health, underserved populations, community-based research, or health outcomes research
  • Experience contributing to grant development and external funding efforts
  • Prior teaching experience relevant to the medical school curriculum

KEY COMPETENCIES:

  • applied research design and execution
  • student mentorship and faculty coaching
  • manuscript and abstract development
  • project management and accountability
  • scholarly productivity
  • grant development support
  • teaching in research-related content areas

Opportunity for Impact

The addition of this role will strengthen student support, expand faculty scholarship, increase institutional research output, enhance grant development capacity, and help advance strategic and accreditation-related goals.

For the right candidate, this is an opportunity to play a meaningful role in shaping the next generation of physician-scholars while helping build a stronger, more productive research culture across the institution.

The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the job's essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

DISCLAIMER:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

It is the policy of Kansas Health Science University (KHSU)-Kansas College of Osteopathic Medicine (KansasCOM) not to discriminate on the basis of race, ethnicity, color, sex, sexual orientation, gender, gender identity, religion, religious creed, national origin, ancestry, age, genetic information, marital status, military or veteran status, physical or mental disability, medical condition, pregnancy, childbirth and any medical condition related to pregnancy or childbirth or any other basis protected by federal, state or local law, ordinance or regulation. KHSU-KansasCOM is committed to complying with all applicable laws regarding equal employment opportunities. KHSU-KansasCOM strives to create and maintain a work environment in which people are treated with dignity, decency, and respect. All qualified candidates are encouraged to apply.

Kansas Health Science University offers a generous compensation and benefits package, as well as the opportunity to work for a leader in the field of education. Some of our key benefits include: generous paid time-off, medical and dental coverage, company-paid life and disability insurance, retirement plan with employer contribution, multiple flexible spending accounts (FSA), tuition reimbursement, professional development, and regular employee appreciation events.Kansas Health Science University is an Equal Opportunity Employer.

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Kansas Health Science University