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Analytics Jobs in Renton, WA (NOW HIRING)

Golden Analytics is a third-generation BI platform that combines Tableau's analytical power with Canva's design excellence, all powered by AI. We're creating analytics tools that anyone can use ...

As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the ...

As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the ...

Come join the Salesforce Analytics Solution Engineering team, supporting our Commercial business across AMER (Financial Services) and Canada (all industries). Through collaboration with the customer ...

New

Come join the Salesforce Analytics Solution Engineering team, supporting our Commercial business across AMER (Financial Services) and Canada (all industries). Through collaboration with the customer ...

New

Healthcare Analytics Manager

Bellevue, WA · On-site

$110K - $176K/yr

We are looking for a Healthcare Analytics Manager to join our Healthcare Analytics Team. In this role, you will own end-to-end analytics projects for Chewy's Pharmacy, Compounding, and Equine/Farm ...

The Sales Analytics Manager leads the analytical approach/strategy for the team and serves as a trusted analytical advisor to Sales Analytics and division sales leaders. Primary Responsibilities ...

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 ...

Position Summary The Manager, Marketing Analytics will build the marketing analytics function within the Stanley 1913 organization. This role includes owning frameworks, narratives, and reporting ...

Position Summary The Manager, Marketing Analytics will build the marketing analytics function within the Stanley 1913 organization. This role includes owning frameworks, narratives, and reporting ...

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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 Sep 13, 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?

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.

What are the key skills and qualifications needed to thrive in analytics?

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.

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 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 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 and skills in tools like SQL, Python, and Tableau. Compensation varies by industry, location, and level of expertise, but it is considered a lucrative career option for those with strong analytical and technical abilities.

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:

Infographic showing various Analytics job openings in Renton, WA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $141,545 per year, or $68.1 per hour.

Forward Deployed Analyst

Bellevue, WA • On-site

Other

Posted 12 days ago


Key responsibilities

  • Learn and demonstrate Golden Analytics platform to secure technical wins through demos and proofs of concept.

  • Embed in customer deployments by modeling data, building analyses, and driving adoption within their environment.

  • Share insights and experiences through content such as talks, videos, and written materials to engage the wider data community.


Job description

About this position

We're building the future of business intelligence. Golden Analytics is a third-generation BI platform that combines Tableau's analytical power with Canva's design excellence, all powered by AI. We're creating analytics tools that anyone can use, without sacrificing depth or sophistication.

Ready to build the future of analytics? Let's talk.

The Role

You love analytics and you love helping people solve real problems with it. You believe a new golden era of analytics is here, and you are genuinely excited about what AI can bring to how organizations use their data. You get the same charge from sitting with one customer and cracking their hardest problem as you do from sharing what you learned with the wider world.

This is a forward deployed role, and it does three things.

Secure the technical win

You will learn Golden deeply, starting alongside our CEO and Founder, François, until you know the platform cold and can own the technical evaluation with prospects and partners: the demo that makes a skeptical data team lean in, the proof of concept against a real Snowflake or Databricks environment, the hard architectural questions about governance and how Golden fits a modern stack instead of fighting it.

Embed in our biggest deployments

As enterprise deals land, you go inside the customer as a forward deployed analyst: modeling their real data in Golden, building the first analyses that matter to them, and driving the deployment to genuine adoption in their environment. This is where trials become expanding accounts and where our best proof comes from.

Be a public voice

Being a public voice energizes you, and you want an audience wider than the customer in front of you. You share what you learn inside Golden with the greater data community: talks, videos, how-tos, and working with product to tell the story of new releases and features. Not marketing gloss. The kind of practical, credible perspective a data practitioner actually seeks out and shares.

What We're Looking For

You are at your best in front of people: in a customer's real data environment, on an early demo, in the replies to your own post. You love the craft of analytics and you love having an audience for it. You can go deep on someone's warehouse and then step back and explain, on camera or in writing, why it matters. That range is the whole job.

You believe AI-native, not bolted on, is the right answer, and you can say why. You are excited about accelerating the analyst 10x, not replacing them. You have a point of view on where analytics is heading with AI, and the receipts to back it up.

Customer Obsessed

You take a customer's frustration personally because you have felt it too. You would rather sit in a real environment solving a real problem than run a canned demo. You read a room of skeptical data folks, handle a live objection without flinching, and make a technical buyer feel like they are talking to a peer.

Velocity Driven

You are comfortable pre-GA: no playbook, no big team, a product still moving. You see that as room to build. You own the technical win end to end and move without waiting for permission or perfect information.

You want to build a public voice. You teach and share by instinct: maybe you already post, write, speak, or make videos; maybe you are the person your team sends the hard questions to. You turn what you see in the field into content the market actually uses, and you love doing it.

What You'll Build
  • The technical win: Discovery-driven demos that go past the happy path, proofs of concept against real customer data in Snowflake, Databricks, BigQuery, and dbt-modeled environments, and the technical objection handling and competitive positioning against legacy BI incumbents.
  • The forward deployed motion for enterprise accounts: Embedded engagements that get Golden modeled, deployed, and genuinely adopted inside a customer's environment, with you as the analyst making their real data sing.
  • The two-way bridge to product and engineering: Real evaluation and deployment friction flows back to the team; the roadmap flows back out to customers. Your win rate and their roadmap shape each other.
  • Content that teaches, not markets: Blog posts, training and how-to videos, teardowns, worked examples, and release storytelling built with product. The dashboard that took three weeks becomes a post. The migration that clicked becomes a walkthrough.
  • Golden's presence in the wild: webinars, community threads, meetups, and eventually stage time as a recognizable, credible voice on AI-native analytics.
  • The forward deployed foundation itself: demo environments, POC playbooks, and the engagement model we scale behind you.
Requirements

Title matters less than whether you've actually carried a technical evaluation across the line yourself — here's the specific stuff that tells us you have:

  • Senior-level experience in solutions engineering, sales engineering, analytics engineering, or a technical field role where you owned the technical win.
  • Real fluency with cloud data warehouses (Snowflake, Databricks, BigQuery) and the modern data stack (dbt, semantic layers, the analytics engineering workflow). You have lived in this world, not just demoed near it.
  • Strong SQL and a working understanding of how analytics gets built, governed, and broken inside a real company.
  • A visible instinct to teach and share, and a genuine appetite to build a public voice under your own name.
  • Comfort with pre-GA ambiguity and the drive to build a function from scratch.

Nice to have: an existing following or content footprint in the data community; background at a BI or analytics vendor, or hands‑on time as an analyst or analytics engineer; experience with a forward deployed or embedded delivery model at an early‑stage company.

Why Join Us
  • Ground floor at a well‑funded startup, backed by top‑tier VCs who believe in what we're building
  • Work directly with founders and customers — no layers in between
  • Real influence over product decisions and the culture we're building, not just a seat at the table
  • Competitive salary and equity, because we want you invested in what we're building together
  • A team that's genuinely excited about AI and wants you pushing the tools further, not just using what's handed to you
  • Do the best work of your life
  • Oh and actually having fun at your job again
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