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Manager Political Science Data Analytics Jobs in Spokane, WA

... analysis, data entry, and compiling and summarizing material on various, complex topics. This ... Political Science, Government Relations, Public Administration, Economics or Law, or similar.

... analysis, data entry, and compiling and summarizing material on various, complex topics. This ... Political Science, Government Relations, Public Administration, Economics or Law, or similar.

... analysis, data entry, and compiling and summarizing material on various, complex topics. This ... Political Science, Government Relations, Public Administration, Economics or Law, or similar.

Power BI Intern

Spokane, WA · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ... Ability to manage multiple tasks simultaneously. PREFERRED SKILLS * Experience in metal rolling ...

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ... Ability to manage multiple tasks simultaneously. PREFERRED SKILLS * Experience in metal rolling ...

Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ... Ability to manage multiple tasks simultaneously. PREFERRED SKILLS * Experience in metal rolling ...

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Manager Political Science Data Analytics information

See Spokane, WA salary details

$65.2K

$126.7K

$181K

How much do manager political science data analytics jobs pay per year?

As of Aug 1, 2026, the average yearly pay for manager political science data analytics in Spokane, WA is $126,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $150,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager in Political Science Data Analytics, and why are they important?

To thrive as a Manager in Political Science Data Analytics, you need a strong background in political science, statistical analysis, and data interpretation, typically supported by an advanced degree in political science, statistics, or a related field. Expertise with data analytics tools like R, Python, SQL, and visualization platforms such as Tableau or Power BI, along with knowledge of data management systems, is essential. Strong leadership, critical thinking, and effective communication skills help you manage teams and clearly present complex insights to stakeholders. These competencies are vital for transforming data into actionable policy insights and guiding strategic decision-making within political or public sector organizations.

What does a Manager of Political Science Data Analytics do?

A Manager of Political Science Data Analytics leads teams that gather, analyze, and interpret data related to political science topics, such as voter behavior, election results, public opinion, and policy outcomes. They design research methodologies, oversee data collection and cleaning, and use statistical tools to find insights that inform political strategy or academic research. Additionally, they are responsible for communicating findings to stakeholders, ensuring the accuracy of the analysis, and staying updated with the latest trends in data analytics and political science.

How does a Manager Political Science Data Analytics typically collaborate with cross-functional teams to support research initiatives?

A Manager Political Science Data Analytics often works closely with researchers, policy analysts, and IT professionals to design and implement data-driven research projects. They act as a bridge between technical data teams and subject matter experts, ensuring that data collection, analysis, and interpretation align with the goals of the research. Regular meetings, clear communication of analytical findings, and collaborative problem-solving are key aspects of the role. This collaborative environment helps translate complex data insights into actionable recommendations for policy development or academic research.
What are the most commonly searched types of Political Science Data Analytics jobs in Spokane, WA? The most popular types of Political Science Data Analytics jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Manager Political Science Data Analytics jobs? Cities near Spokane, WA with the most Manager Political Science Data Analytics job openings:
Infographic showing various Manager Political Science Data Analytics job openings in Spokane, WA as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $126,720 per year, or $60.9 per hour.

$49K/yr

Other

Re-posted 26 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