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Data Analytics Jobs in Kennewick, WA (NOW HIRING)

Data Architecture Consultant

Richland, WA ยท Remote

$55.79 - $135.21/hr

Incorporate innovative, data-driven solutions that streamline workflows, enhance collaboration, and provide real-time data analytics into the processes for requirements management and traceability ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Data Analytics information

See Kennewick, WA salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data analytics in Kennewick, WA is $55.48, according to ZipRecruiter salary data. Most workers in this role earn between $44.57 and $62.84 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 Kennewick, WA?

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

What are popular job titles related to Data Analytics jobs in Kennewick, WA?

For Data Analytics jobs in Kennewick, WA, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Analytics job openings in Kennewick, WA as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, 2% Temporary, 7% Contract, and 2% Nights. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $115,408 per year, or $55.5 per hour.

Chief Data Scientist - AI Safety

Pacific Northwest National Laboratory

Richland, WA โ€ข On-site

$194K/yr

Full-time

Medical

Re-posted 14 days ago


Job description

Overview
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Responsibilities
Our AI & Data Analytics division is seeking a Chief Data Scientist with deep expertise in data science and experience in AI Safety for national security missions. The selected candidate will lead large, multi-year research and development programs within the AI and Data Analytics Division, which includes over 400 staff specializing in data science, applied mathematics, advanced analytic architectures, software engineering, and human-centered computing. We support PNNL's mission by contributing to impactful, mission-focused applied R&D projects that help tackle national security challenges. This role requires deep technical expertise and the ability to translate emerging research into mission-ready capabilities
The Chief Data Scientist will shape national technical direction, engage directly with sponsors and senior leadership, and serve as a strategic partner in aligning PNNL's AI safety portfolio with evolving mission and policy requirements. This individual will guide technical direction, mentor interdisciplinary teams, and collaborate closely with software engineers to transition cutting edge research into field-ready capabilities. In addition to leading research efforts, the Chief Data Scientist will serve as a key interface with sponsors and stakeholders, leveraging domain expertise to align PNNL's research agenda with evolving mission requirements.
Work Location & Requirements
  • Based in Richland, WA or Seattle, WA with onsite presence required
  • Clearance required (see below for details)
  • Travel may be required for stakeholder engagement, project events, and sponsor reviews

Key Responsibilities
The chosen candidate will have the unique opportunity to drive real-world impact at mission tempo while supporting PNNL's mission to tackle grand challenges through science, technology, and innovation. Key responsibilities will include:
  • Strategic Leadership and Vision:
    • Shape and execute forward-looking strategies for advancing AI Safety research, evaluation methodologies, and trustworthy deployment practices within PNNL's national security mission space.
    • Partner with government sponsors as a senior technical leader, translating evolving mission priorities and operational risk considerations into actionable research direction and investment opportunities.
    • Lead high-visibility proposal development to help shape national investment in frontier-model safety, agentic AI governance, secure machine learning operations, and evaluation infrastructure.
  • Scientific and Technical Leadership:
    • Lead nationally visible AI Safety programs, ensuring technical excellence, sponsor alignment, risk-informed execution, and timely delivery of impactful results.
    • Serve as a senior technical leader in AI Safety, guiding approaches for evaluating, testing, and characterizing the behavior, risks, and emergent properties of AI models including but not limited to large language models, multimodal models, and agentic AI systems.
    • Provide technical leadership that supports interdisciplinary teams, helping shape research methodologies, data science and engineering best practices, and evaluation strategies while overseeing end-to-end analytic workflows.
    • Build and sustain collaborations across DOE laboratories, federal agencies, academia, and industry to accelerate innovation and deliver integrated, mission-aligned AI Safety capabilities.
    • Partner with software engineering and operational teams to transition research outputs into secure, scalable real-world systems that support national security missions.
  • External Influence & National Representation:
    • Represent PNNL as a senior AI Safety expert in technical exchanges, working groups, and high-impact national and international forums.
    • Publish influential research, contribute to emerging standards, and help shape national discourse on AI Safety.
    • Communicate PNNL's AI capabilities and mission relevance to external stakeholders, articulating use cases, technical solutions, and emerging challenges within the broader national security landscape.
  • Mentorship & Workforce Development:
    • Support the technical and professional development of junior through senior researchers, offering guidance on research challenges, technical leadership skills, and effective collaboration practices.
    • Contribute to an inclusive and learning-oriented environment that encourages scientific rigor, safety-first innovation, and high-impact interdisciplinary work.
    • Collaborate with other senior researchers to strengthen PNNL's AI Safety workforce through mentorship, knowledge sharing, and community building.

Read more about the AI & Data Analytics division: https://www.pnnl.gov/ai-and-data-analytics
Qualifications
Minimum Qualifications:
  • BS/BA and 9+ years of relevant work experience -OR-
  • MS/MA and 7+ years of relevant work experience -OR-
  • PhD with 5+ years of relevant experience

Preferred Qualifications:
  • Advanced degree in computer science, engineering, data science, mathematics, or a related discipline.
  • Active DOE Q or TS/SCI clearance and ability to maintain such clearance.
  • Demonstrated impact in AI Safety (e.g., peer-reviewed publications, recognized awards, contributions to community standards).
  • National reputation in AI Safety, frontier model evaluation, trustworthy AI, secure machine learning operations, or related mission relevant technical areas.
  • Familiarity with agentic AI safety (tool-use governance, retrieval hygiene, autonomous decision workflows) and evaluation of multi-step reasoning systems.
  • Experience developing and applying cutting edge AI/ML in national security environments, with an understanding of mission needs and operational constraints.
  • Experience serving as PI or project manager on multi-institution R&D efforts.
  • Strong record of securing external funding, managing research portfolios, and initiating new R&D programs in applied AI or AI Safety domains.
  • Experience working with sponsors such as DOE, NNSA, DoD, DHS, or other mission agencies, with the ability to help shape strategic research investments.
  • Proven ability to communicate complex technical concepts to diverse audiences across government, industry, and academia.

Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
  • U.S. Citizenship
  • Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
"Referral Eligible"
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
About PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
Commitment to Excellence and Equal Employment Opportunity
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
Drug Free Workplace
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
Security, Credentialing, and Eligibility Requirements
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
Mandatory Requirements
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or rec

Pacific Northwest National Laboratory logo

About Pacific Northwest National Laboratory

Sourced by ZipRecruiter

Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965