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Analytics Jobs in Renton, WA (NOW HIRING)

Head of Solutions Analytics

Seattle, WA · On-site

$200K - $260K/yr

Role As the Head of Solutions Analytics, you'll lead a team of business analysts and data scientists who are deeply embedded in SentiLink's sales process and our partner relationships. At SentiLink ...

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Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

About the Role We\'re hiring a Senior Analytics Engineer to own the analytics layer that powers data-driven decisions across Nscale\'s GPU procurement and hardware supply chain. In this role, you\'ll ...

You will analyze large, fragmented datasets to surface insights that are not readily visible - translating raw signals from audit findings, ethics and compliance data, investigation outcomes, and ...

The Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to support the Enterprise by building reliable, well-modeled, and trusted data for reporting, decision ...

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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:
What are popular job titles related to Analytics jobs in Renton, WA? For Analytics jobs in Renton, WA, the most frequently searched job titles are:
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:
Group People Analytics Director

Group People Analytics Director

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, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity.

Richemont is looking for an experienced and forward-thinking leader to shape the next chapter of Group People Analytics. In this role, you will define and drive our People Analytics and HRReporting strategy, strengthen data-informed decision-making across HR and business leadership, and accelerate our ability to unlock the value of people data at scale. You will play a pivotal role in transforming HR into a more insight-led function while ensuring our data, platforms, and capabilities evolve to support strategic, operational, and regulatory needs across the Group.

Reporting to the Group HR Digital & Data Director, you will lead the Group People Analytics function and a team of four experts. You will shape the function’s direction, strengthen its operating model, and ensure the delivery of impactful executive insights and scalable reporting capabilities for the Group.

HOW WILL YOU MAKE AN IMPACT?

In this role, you will position People Analytics as a strategic capability for HR and the business, combining leadership, business partnership, and analytical expertise. In particular, you will:

  • Define and lead the Group People Analytics and Reporting strategy, setting the vision, priorities, governance, and roadmap required to strengthen data-driven decision-making across HR and for business leaders.
  • Lead the adoption and continuous improvement of the Visier people analytics platform, ensuring relevance of insights, strong user experience, and growing usage across the HR community and, progressively, among business leaders.
  • Strengthen the analytics capabilities of the HR community through targeted upskilling and stronger data literacy, enabling them to translate complex workforce topics into clear, decision-oriented narratives.
  • Shape the future HR data and analytics ecosystem leveraging our data lake capabilities with GCP and Looker, enabling richer analysis across people and business data.
  • Drive excellence in Workday reporting by establishing a robust operating model that combines clear governance, strong expertise, reliable delivery, and the ability to scale reporting services efficiently across the Group.
  • Own HR data governance end-to-end, covering stewardship, data quality, definitions, documentation, compliance, and controls, while guiding the continuous strengthening of data quality practices.
  • Deliver high-value executive insights for Group leadership and provide trusted data for Non-Financial Reporting and other regulatory requirements.
  • Animate the People Analytics community across the Group, fostering alignment, knowledge sharing, and the spread of effective practices.
  • Operate effectively across both strategic priorities and key tactical matters, ensuring the function remains connected to business needs while driving long-term direction.
  • Lead, coach, and develop a high-performing team of experts, ensuring strong execution, collaboration, and continuous growth of the function.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
  • Master’s degree in a relevant field and 15+ years of experience in People Analytics, HR data, reporting, or related analytics domains, including successful experience in a similar senior leadership role.
  • Strong track record in defining and executing People Analytics strategies that create measurable business value and strengthen HR effectiveness.
  • Proven leadership capability, with experience coaching, developing, and inspiring multidisciplinary expert teams while setting high standards for quality, pace, and collaboration.
  • Strong ability to translate complex people and business data into clear messages, practical recommendations, and compelling executive narratives.
  • Deep understanding of HR data, data governance, data quality, reporting models, and the responsibilities that come with handling sensitive employee information.
  • Solid expertise in Workday reporting and strong familiarity with modern analytics platforms and ecosystems, including Visier, GCP, and Looker.
  • Experience designing adoption strategies and upskilling programs that strengthen analytics literacy and encourage effective use of data across HR communities.
  • Strong collaboration and influencing skills, with the ability to work effectively across HR, Group Platform, Finance, and senior business stakeholders in a matrix organization.
  • Excellent communication skills and executive presence, with the credibility to influence senior stakeholders and represent the function at Group level. Fluent in English; French is an asset.

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