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Data Associate Jobs in Everett, WA (NOW HIRING)

Industry/Sector Banking and Capital Markets Specialism Data, Analytics & AI Management Level Associate & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights ...

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Data Associate information

See Everett, WA salary details

$15

$36

$62

How much do data associate jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data associate in Everett, WA is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $43.27 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

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

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

What job categories do people searching Data Associate jobs in Everett, WA look for?

The top searched job categories for Data Associate jobs in Everett, WA are:

What cities near Everett, WA are hiring for Data Associate jobs?

Cities near Everett, WA with the most Data Associate job openings:

Infographic showing various Data Associate job openings in Everett, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,996 per year, or $36.5 per hour.

AML/Sanctions- Data Scientist- Associate

PricewaterhouseCoopers LLP

Seattle, WA • On-site

$63K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector
Banking and Capital Markets
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python to tackle financial crime challenges. As an Associate you will focus on learning and contributing to client engagement, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Utilize analytical techniques to address financial crime issues
- Engage with clients to foster meaningful professional relationships
- Apply SQL and Python for data analysis and problem-solving
- Explore machine learning, NLP, and LLMs in relevant projects
- Contribute to team efforts while enhancing personal technical skills
- Adapt to complex situations and develop strategic insights
- Participate in research to support project objectives
- Uphold professional standards and ethical guidelines
What You Must Have
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
- 1 year of experience in data science/machine learning
What Sets You Apart
- Interest in financial crime, AML, and fraud analytics
- Skilled in SQL for complex data queries
- Advanced Python skills for data manipulation
- Experience building and deploying machine learning models
- Understanding of machine learning concepts and algorithms
- Comfort working with structured and unstructured data
- Familiarity with agentic AI frameworks
- Hands-on experience with CI/CD pipelines for data science
- Proficiency in SQL and Python
- Basic understanding of machine learning algorithms and evaluation metrics
- Exposure to frameworks such as scikit-learn, XGBoost, Hugging Face Transformers
- Other quantitative fields of study may be considered
Travel Requirements
Up to 60%
Job Posting End Date
The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ;br>
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: ;br>
Learn more about how we work: ;br>
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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