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Data Analytics Jobs in Pullman, WA (NOW HIRING)

Analyst

Moscow, ID ยท On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

Assistant Scientist

Moscow, ID ยท On-site

$22.60/hr

... ) data reviews, and assisting scientists with a variety of laboratory tasks. Your work will help ... About Us Alturas Analytics, Inc . is a contract research organization, bioanalytical laboratory ...

... ) data reviews, and assisting scientists with a variety of laboratory tasks. Your work will help ... About Us Alturas Analytics, Inc . is a contract research organization, bioanalytical laboratory ...

Analyze chip slush and verify consistency meter accuracy. * Develop and improve testing procedures. * Compile and present test data in user-friendly formats. * Support machine trials and maintain ...

Analyze chip slush and verify consistency meter accuracy. * Develop and improve testing procedures. * Compile and present test data in user-friendly formats. * Support machine trials and maintain ...

Showing results 41-60

Data Analytics information

See Pullman, WA salary details

$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data analytics in Pullman, WA is $53.49, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.58 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What are the most commonly searched types of Data Analytics jobs in Pullman, WA?

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

What job categories do people searching Data Analytics jobs in Pullman, WA look for?

The top searched job categories for Data Analytics jobs in Pullman, WA are:

What cities near Pullman, WA are hiring for Data Analytics jobs?

Cities near Pullman, WA with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Pullman, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,258 per year, or $53.5 per hour.

Executive Director for Institutional Effectiveness

Society for College and University Planning

Moscow, ID โ€ข On-site

$110 - $170/hr

Other

Posted 8 days ago


Job description

Executive Director for Institutional Effectiveness

Moscow, ID 83844

Posted: 7/21/26
Deadline: 8/22/26

About This Organization

University of Idaho

Job Duties

Executive Director for Institutional Effectiveness
University of Idaho
Search conducted by Ferra Executive Search

The Executive Director will supervise UIโ€™s Institutional Research (IR) and Assessment and Accreditation (AA) offices and will report to the Office of the Provost and Executive Vice President through the Vice Provost for Academic Initiatives (VPAI). A key focus for this role will involve strengthening collaboration between the IR and AA teams. Working closely with the VPAI and other colleagues, the Executive Director will help UI use evidence-based practices in education, operations, and resource allocation; assessing these practicesโ€™ impact; and iteratively improving outcomes.

Position Overview
The executive director will provide visionary leadership, and high-level direction of institutional effectiveness at UI to equip colleagues with the data, analyses, and information needed to achieve key institutional goals. Goal areas include strategic enrollment; student success; curricular delivery and efficiency; budgeting; assessment and accreditation; federal, state, and other reporting; and other university priorities. To help the institution define key metrics, develop strategies, and gauge progress, the executive director will provide strategic leadership, high-caliber collaboration, problem-solving, and creativity. Further, the executive director will guide collaborations with a broad range of colleagues, including disciplinary faculty, academic administrators, assessment and accreditation professionals, research support units, human resources professionals, and others. The person in this role will supervise the creation of intuitive, user-friendly interactive dashboards and other resources for sharing data broadly throughout and beyond the campus community while maintaining requisite protections.

Further, the Executive Director will promote data-informed decision-making by leveraging relevant experience in designing and executing a broad range of quantitative analyses, building a data-literate, participating in UIโ€™s data governance, implementing data democratization, and working with qualitative and mixed-methods studies. For example, the Executive Director will design and implement trainings to effectively engage colleagues at all levels of data literacy in using institutional data in decision-making and program improvement. The person in this position will take initiative to solve problems and address institutional challenges. Further, the Executive Director will draw on prior leadership experience with an emphasis on completing routine but essential tasks while also designing analyses, tools, and approaches needed to achieve university goals in key areas.

Required Qualifications

Required Experience

Three yearsโ€™ experience in the following:

  • Creating data literacy, data democratization, and data-informed decision-making as demonstrated in application materials
  • Strategic leadership to forward key institutional goals and effectively balance multiple competing priorities by providing needed data, analyses, and solutions
  • Leadership in designing processes for maximum efficiency in routine reporting as demonstrated in application materials
  • Leading the development of intuitive, accessible, interactive dashboards and other tools that broaden data access and promote effective data use institution wide
  • Experience designing and executing quantitative studies, and knowledge of qualitative and mixed methods study design
  • Creativity and flexibility in meeting stakeholder needs while sustaining integrity of data definitions and other unit priorities as shown in application materials

Required Education

Additional Preferred

  • Ph.D. in statistics, educational measurement, assessment, cognitive science, database management, machine learning, or other relevant discipline.
  • Demonstrated experience collaborating effectively with assessment, accreditation, research support, and other colleagues, including disciplinary faculty and academic administrators; building, leading, and contributing to effective cross-unit working groups; and tailoring effective communications in formal and informal settings.
  • Experience establishing, communicating, and leading others to implement a vision for promoting effective data use across an organization, including a demonstrated ability to effectively engage hesitant, skeptical, and/or inexperienced colleagues in developing data literacy and the capacity to use data effectively to inform decision-making.
  • Experience establishing unit priorities; motivating direct reports and staff to achieve priorities; and building collaborative, responsive, high-performing teams.
  • Demonstrated experience engaging faculty, staff, and students in using data effectively to improve academic, curricular efficiency, operational, budgetary, and other outcomes. Such experience will ideally include designing and implementing trainings, professional development materials and workshops, and the like.
  • Strong experience in sophisticated analytical projects, e.g., diagnostic and prescriptive analyses designed to help identify students who could succeed with particular interventions and/or to measure the effectiveness of such interventions.
  • Experience leading or co-leading the development of data governance policies; structures and demonstrated knowledge of data definitions, storage, and management; and experience designing, implementing, or applying data ethics policies.
  • Evidence of strong initiative, creativity, and problem-solving skills.
  • Knowledge of federal, state, and other reporting required for institutions of higher education.
Other Info

Link to posting: https://uidaho.peopleadmin.com/postings/52156

Contact:
Ferra Executive Search has been retained to manage the search. If you have any inquiries or nominations, please send an email to:

Please use โ€˜Executive Director, Institutional Effectivenessโ€™ as the subject line when you contact Kevin

Applicant Resources
https://www.uidaho.edu/human-resources/careers/applicant-resources

Applicants who are selected as final possible candidates must be able to pass a criminal background check.

The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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