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Data Analytics Jobs in Yakima, WA (NOW HIRING)

Train other staff in carrying out recruitment, interviewing and data collection activities. Assist in data cleaning, management, and analysis. Perform other duties as directed by the Program Director.

AVP SUPPLY CHAIN SERVICES

South Broadway, WA

$182K - $206K/yr

The AVP oversees all core functions-including Strategic Sourcing, Procure-to-Pay, Materials Management, ERP and supply chain systems, Data & Analytics, and Project Design & Enablement-ensuring ...

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical solutions that protect associates while supporting productivity. Your ability to build relationships and ...

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical solutions that protect associates while supporting productivity. Your ability to build relationships and ...

Your analytical skills will transform safety data into actionable insights, while your leadership abilities will help engage associates in our safety mission. Core Impact Areas: Safety Leadership ...

Accounting Analyst

Yakima, WA · On-site

$82K - $100K/yr

This includes software migrations, workflow automation, cleanup of legacy data, and the preparation ... Strong analytical skills, with the ability to collect, absorb, and analyze information quickly and ...

You will be responsible for collecting and analyzing a variety of intelligence data, and processing, tracking and inputting warrants into the National Crime Information Center (NCIC) database. Duty ...

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Data Analytics information

See Yakima, WA salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data analytics in Yakima, WA is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $62.16 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

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

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

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

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

Infographic showing various Data Analytics job openings in Yakima, WA as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% In-person job distribution, with an average salary of $114,140 per year, or $54.9 per hour.

$22.17/hr

Full-time

Re-posted 10 days ago


Job description

­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­Announcement #2026-044Issue Date:04-17-26Closing Date:Open until filled Data CollectorTiináwitDepartment of Tribal HealthHourly Wage: $22.17/Regular/Full-Time The Data Collector will be responsible for project activities and will be responsible for conducting data collection and data entering activities at Yakama Nation Behavior Health Services (YNBHS). This person will need to be prepared to deal with sensitive client information and to create a climate of confidentiality and data integrity.  Examples of Work Performed:Participant in designing procedures for and overseeing focus groups, survey questionnaires, and clinic data, including troubleshooting data collection problems.Will hire, train, and supervise data collection support personnel. Represent the study to potential participants, answer questions, and screen for eligibility. Collect, data enter, and track participant data. Train other staff in carrying out recruitment, interviewing and data collection activities. Assist in data cleaning, management, and analysis. Perform other duties as directed by the Program Director. Knowledge, Skills and Abilities:Must have knowledge of Yakama Nation Behavioral Health Services mission, services, and functionality. Knowledge of HIPAA, 3rd Party Billing, and how it relates to YNBHS. Knowledge in data collection methodologies.Skills in organized and detail-oriented decision making.Excellent organizational and record keeping skills with at least 2 years managing data for social programs. Computer skills including the use of Microsoft Office applications, and proficient knowledge of Excel. Ability to handle multiple projects at the same time in the context of a quality improvement program. Ability to set priorities, set timelines, and accomplish goals on time. Ability to communicate effectively both orally and in writing.Ability to work successfully with high-level professionals. Ability to effectively build relationships with members and other Tribal departments and community partners. Minimum Requirements:Bachelor's degree in social work, health science, psychology, or an allied social or behavioral science or two years experience in excel data management.Supervisory experience required with experience that reflects the ability to work with both Tribal and Non-Tribal providers.Must uphold strict confidentiality.Required to pass pre-employment background check.Must possess a valid Washington State Driver's License with the ability to obtain a Yakama Nation Driving permit. Required to pass a pre-employment drug test.Preferred Requirements:Enrolled Yakama Preference, but all qualified applicants are encouraged to apply.