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Part Time Data Analyst Jobs in Lawrence, KS (NOW HIRING)

Bright Sky Therapy LLC

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Part time RBT

Olathe, KS · On-site

$15 - $30/hr

... Analysis (ABA) therapy to children and families, focusing on creating a fun, supportive, and ... Collect data on client progress and session outcomes using company tools and systems. * Communicate ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Lawrence, KS

Part Time Data Analyst information

See Lawrence, KS salary details

$32.1K

$77.9K

$128.3K

How much do part time data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for part time data analyst in Lawrence, KS is $77,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,500.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Lawrence, KS?

The most popular types of Data Analyst jobs in Lawrence, KS are:

What job categories do people searching Part Time Data Analyst jobs in Lawrence, KS look for?

The top searched job categories for Part Time Data Analyst jobs in Lawrence, KS are:

What cities near Lawrence, KS are hiring for Part Time Data Analyst jobs?

Cities near Lawrence, KS with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Lawrence, KS as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $77,934 per year, or $37.5 per hour.

MCTP PTOC HST Analyst

Core Government Services Corporation

Lansing, KS • On-site

Part-time

Re-posted 12 days ago

Job description

CGS is looking for a part-time on-call Headquarters Support Team (HST) Analyst to support the US Army's Mission Command Training Program (MCTP) at Fort Leavenworth, KS.

While working with the Headquarters Support Team (HST) during Warfighter Exercises (WFX), our HST Analysts provide analytical and technical support using the Archiving and Enhanced Retrieval (ARCHER) system to the U.S. Army Mission Command Training Program (MCTP). MCTP enables commanders and staff to train in the art and science of mission command through large-scale Warfighter Exercises (WFX) and other collective training events. The ARCHER system is a government-provided, distributed collaborative analytic tool designed to capture, centralize, and visualize live and historical simulation data. ARCHER enables MCTP and supported training audiences to query and report data, generate digital products, and develop analytical outputs that inform After Action Reviews (AARs), exercise management, and key leader briefs.

The HST Analyst plays a key role in ensuring data accuracy, analytical rigor, and timely production of combat power and adjudication information for use by the Exercise Director, Opposing Force (OPFOR), and senior MCTP leadership.

Key Responsibilities

  • Support MCTP S-3 Operations (S-3):
    • Provide combat power status updates for presentation to the Exercise Director during Exercise Control Group (ECG) meetings.
    • Conduct detailed data "forensics" to support operational adjudication decisions and ensure analytical transparency throughout the exercise.
  • Support the OPFOR Commander:
    • Deliver analytical assessments of OPFOR system performance and operational effectiveness against Blue Forces.
    • Analyze Blue Force effectiveness against the OPFOR to support operational evaluations and decisions during the exercise.
  • Support Senior Red Control:
    • Provide analytic and adjudication support to Senior Red Control, enabling accurate representation of combat outcomes, force status, and decision rationale.
    • Coordinate with simulation controllers, analysts, and operations staff to ensure data consistency and synchronization across analytic cells.
  • AAR Development Support:
    • Assist the OPFOR Commander and staff in developing After Action Review (AAR) products and presentations.
    • Use ARCHER data to produce visualizations, summaries, and trends that illustrate the operational narrative and training outcomes.
  • Operational Locations: Perform assigned duties both at Fort Leavenworth, Kansas, and at forward-deployed exercise locations as required in support of MCTP Warfighter Exercises (WFXs) and other events.

Minimum Requirements:

  • Proficient in the use of Microsoft Office Word and PowerPoint software.
  • Familiar with current Army and Joint doctrine.
  • BS/BA degree with 5+ years of military experience, or high school education with 10 years military experience.
  • Active DOD Secret clearance is required.
  • Must be able to work at temporary training locations which restrict entry to only approved military, DoD personnel, and contractors.

Preferred Experience and Qualifications:

  • Prior experience with the Mission Command Training Program (MCTP) or other large-scale military training exercises (e.g., Warfighter Exercises).
  • Previous training with the ARCHER system.
  • Experience in Army simulation exercise analysis (e.g., WARSIM, JCATS, JLCCTC).
  • Military background or experience supporting Division- or Corps-level operations.
  • Excellent written and verbal communication skills, with demonstrated ability to brief senior leaders.

Working Conditions: Inside Government training facilities.

Required Travel: Employees will travel to temporary work locations during exercises.

Job Type: Part-Time On-Call, Exempt

Contract Length: More than 1 year

Core Government Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

If you require a reasonable accommodation to apply for a Core Government Services position, please contact Human Resources by emailing Support.Services@coregsc.com. Please do not include sensitive personal information in your message, such as your Social Security number, medical diagnosis, or detailed personal health information.

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