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Data Analytics Jobs in Bothell, WA (NOW HIRING)

WilsonCTS

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related field. * Experience supporting PLM implementations or PLM environments. * Experience with Windchill or ...

McKinstry

Senior Data Analyst, People Analytics

Seattle, WA

$97K - $123K/yr

The Opportunity with McKinstry We are seeking a skilled People Analytics Sr. Data Analyst to advance people analytics, business intelligence, reporting, data stewardship, and workforce insights. This ...

McKinstry

Senior Data Analyst, People Analytics

Seattle, WA · On-site

$97K - $123K/yr

The Opportunity with McKinstry We are seeking a skilled People Analytics Sr. Data Analyst to advance people analytics, business intelligence, reporting, data stewardship, and workforce insights. This ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Coupang Internal

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Bothell, WA

Data Analytics information

See Bothell, WA salary details

$27

$61

$105

How much do data analytics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data analytics in Bothell, WA is $61.20, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $69.33 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 Bothell, WA?

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

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

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

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $127,297 per year, or $61.2 per hour.

Data Analyst

WilsonCTS

Redmond, WA • Hybrid

$55 - $60/hr

Contractor

Re-posted 29 days ago

Job description

Job Title: Data Analyst - PLM Implementation

Location: Redmond, WA (Hybrid)

Work Schedule: Hybrid

Pay Rate: $55-$60 per hour

Job Type: 1-year (Contract)

Position Overview

We are seeking a Data Analyst to support a large-scale Product Lifecycle Management (PLM) implementation initiative. This role will be responsible for collecting, validating, analyzing, cleansing, and transforming product data to support successful migration and implementation activities within a new PLM environment.

The successful candidate will work closely with business stakeholders, IT teams, and project leads to ensure data accuracy, integrity, and readiness for multiple data migration cycles. This position requires strong analytical capabilities, attention to detail, and the ability to work independently while supporting cross-functional teams.

Key Responsibilities

  • Data Analysis & Validation
  • Support project and workstream leads responsible for Bills of Material (BOMs), Parts, and associated documentation.
  • Analyze, validate, and verify data for multiple migration and data load activities.
  • Ensure data accuracy, integrity, and consistency across PLM and ERP systems.
  • Identify data quality issues and support remediation efforts.
  • Pull, analyze, and interpret data to support informed business decisions.

Data Migration & Cleanup

  • Support data cleansing initiatives for PLM and ERP systems.
  • Collaborate with business users and IT teams to execute data corrections and mass updates.
  • Assist in defining data transformation requirements between legacy and future-state systems.
  • Validate migrated data to ensure successful implementation outcomes.

Reporting & Insights

  • Develop reports, dashboards, and visualizations using Excel, Power BI, Tableau, or similar tools.
  • Analyze trends, patterns, and business insights from large datasets.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.
  • Support reporting automation and process improvement initiatives.

Documentation & Process Support

  • Develop and maintain documentation control methodologies supporting PLM processes.
  • Create, review, and update work instructions and process documentation.
  • Support process standardization and governance activities.
  • Assist with user support, reporting requests, and data-related inquiries.

Required Qualifications

  • Bachelor's degree required.
  • 1-3 years of experience in a Data Analyst, Business Analyst, or related role.
  • Strong experience with data analysis and reporting.
  • Advanced Microsoft Excel skills.
  • Experience working with SQL for data extraction and analysis.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to work independently and manage multiple priorities.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management abilities.

Preferred Qualifications

  • Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Experience supporting PLM implementations or PLM environments.
  • Experience with Windchill or similar Product Lifecycle Management platforms.
  • Experience working with ERP systems.
  • Experience with Power BI, Tableau, or other visualization tools.
  • Knowledge of data migration, validation, and cleansing methodologies.
  • Experience supporting enterprise transformation or system implementation projects.

Ideal Candidate

The ideal candidate is highly analytical, detail-oriented, and comfortable working with large datasets in a fast-paced project environment. They possess strong communication skills, are proactive in identifying data quality issues, and can effectively collaborate with business and technical teams to support a successful PLM implementation.


Apply