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Part Time Data & Analytics Jobs in Spokane, WA (NOW HIRING)

Part Time Phlebotomist

Liberty Lake, WA

$17.75 - $26.42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Prepare all collected specimens for testing and analysis * Maintain patient and specimen ...

Part Time Phlebotomist

Liberty Lake, WA · On-site

$17.75 - $26.42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Prepare all collected specimens for testing and analysis * Maintain patient and specimen ...

Part Time Phlebotomist

Liberty Lake, WA

$17.75 - $26.42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Prepare all collected specimens for testing and analysis * Maintain patient and specimen ...

Community Impact Intern

Liberty Lake, WA · On-site

$18 - $20/hr

  • PTO

... analysis, data entry, and compiling and summarizing material on various, complex topics. This ... Hours per Week: Part-time throughout the internship. Average of 15-20 hours per week, Monday-Friday ...

Community Impact Intern

Liberty Lake, WA · On-site

$18 - $20/hr

  • PTO

... analysis, data entry, and compiling and summarizing material on various, complex topics. This ... Hours per Week: Part-time throughout the internship. Average of 15-20 hours per week, Monday-Friday ...

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Showing results 1-20

Part Time Data Analytics information

See Spokane, WA salary details

$24

$55

$95

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

As of Aug 14, 2026, the average hourly pay for part time data & analytics in Spokane, WA is $55.36, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $62.69 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a part time data & analytics professional?

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.

What is a part time data & analytics professional?

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 Spokane, WA?

The most popular types of Data & Analytics jobs in Spokane, WA are:

What are popular job titles related to Part Time Data & Analytics jobs in Spokane, WA?

For Part Time Data & Analytics jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Part Time Data & Analytics jobs in Spokane, WA look for?

The top searched job categories for Part Time Data & Analytics jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Part Time Data & Analytics jobs?

Cities near Spokane, WA with the most Part Time Data & Analytics job openings:

Infographic showing various Part Time Data & Analytics job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,140 per year, or $55.4 per hour.

DATA SCIENTIST

US Department of the Air Force

Fairchild Air Force Base, WA • On-site

$49K/yr

Full-time, Part-time

Re-posted 9 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER