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Analytics Jobs in Renton, WA (NOW HIRING)

Chewy

Marketing Analytics Manager- Chewy Ads

Bellevue, WA · On-site

$110K - $176K/yr

The Senior Product Analyst will focus on translating business needs into actionable insights, building and maintaining high-quality dashboards, and supporting revenue-driving initiatives through ...

Chewy

Marketing Analytics Manager- Chewy Ads

Bellevue, WA · On-site +1

$110K - $176K/yr

The Senior Product Analyst will focus on translating business needs into actionable insights, building and maintaining high-quality dashboards, and supporting revenue-driving initiatives through ...

Axon

Senior Data Analytics Engineer

Seattle, WA

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Axon

Senior Data Analytics Engineer

Seattle, WA · On-site

Robust analytical skills, attention to detail, and the ability to communicate proficiently with both technical and non-technical audiences are essential. What You'll Do Location: Hybrid in office ...

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All JobsAnalytics JobsAnalytics Jobs in Renton, WA

Analytics information

See Renton, WA salary details

$72.6K

$141K

$201.3K

How much do analytics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for analytics in Renton, WA is $140,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $167,600.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What are the key skills and qualifications needed to thrive in Analytics, and why are they important?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Renton, WA? The most popular types of Analytics jobs in Renton, WA are:
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What job categories do people searching Analytics jobs in Renton, WA look for? The top searched job categories for Analytics jobs in Renton, WA are:
What cities near Renton, WA are hiring for Analytics jobs? Cities near Renton, WA with the most Analytics job openings:
Analytics jobs near you
Global Head of People Analytics & Insights

Global Head of People Analytics & Insights

Dormont Manufacturing Co

Bellevue, WA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Richemont is seeking a seasoned leader to define and drive the People Analytics and HR Reporting strategy. This pivotal role focuses on transforming HR into an insight-led function, overseeing a team of four experts, and ensuring impactful reporting capabilities.

The ideal candidate will have a Master's degree, over 15 years of experience in People Analytics, and a proven ability to engage in strategic decision-making. Expertise in Workday reporting and analytics platforms is essential, along with strong leadership and communication skills.

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