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Ai Data Analytics Jobs in Renton, WA (NOW HIRING)

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals

Overview Are you an analyst who's found you'd rather build the tools than run the reports? Do you get energy from new AI technology and from helping the people around you get better at using it?

GCP Cloud Analytics Engineer

Seattle, WA · On-site

$63.50 - $84.75/hr

GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help

AI Data Engineer 3

Redmond, WA · On-site

$70 - $77/hr

Placement Type: Temporary Salary: $70-77 Hourly up to $77/hr Start Date: Jul 13, 2026 Join a leading global technology company that is at the forefront of innovation, shaping the future of digital

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our

Showing results 21-40

Ai Data Analytics information

See Renton, WA salary details

$27

$61

$106

How much do ai data analytics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ai data analytics in Renton, WA is $61.83, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $70.05 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

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

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

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

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

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

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

Infographic showing various Ai Data Analytics job openings in Renton, WA as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $128,088 per year, or $61.6 per hour.

Sr. Worldwide Specialist - AI, Data & AI GTM

Seattle, WA • On-site

Amazon
IT Services • 10K+ employees

Full-time

Posted 19 days ago


Key responsibilities

  • Design, manage, and optimize sales plays and programs related to the Open Data for AI portfolio, including setting goals, establishing timelines, and tracking performance metrics.

  • Develop and deliver enablement content and programs such as webinars, workshops, and events to educate and enable sales teams and external partners.

  • Collaborate with cross-functional teams to position open table formats as the data foundation for AI and report on program status and strategic recommendations to senior leadership.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,177 frontline employees who took The Breakroom Quiz


Job description

We are seeking a go-to-market (GTM) specialist to own the enablement and sales acceleration strategy for AWS's Open Data for AI portfolio, specifically Project Avalanche (Apache Iceberg on AWS), Amazon SageMaker Unified Studio (Context), This role sits within the Data Sales Acceleration Team in the AWS WWSO Data and AI Foundations organization and is responsible for accelerating how AWS sales and technical teams position, sell, and deliver open data formats as the foundation for AI workloads.
The ideal candidate will develop and execute GTM programs that help the field understand the customer journey from legacy data lakes to open table formats (Iceberg) and unified analytics environments (SageMaker Unified Studio), positioning these services as critical infrastructure for AI/ML workloads. You will own worldwide programs and time-bound initiatives that help AWS sellers create and progress sales opportunities, design and deliver enablement content, and collaborate with Product Marketing, SA teams, and partner organizations to scale the Avalanche motion globally.
The ideal candidate will possess a proven track record in program management, business development, or pre-sales functions with domain knowledge of data lakes, open table formats, analytics, and agentic AI. They should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus

This candidate must communicate clearly through Amazon business narratives, weekly status updates, and data-driven reporting using Quick to unlock business insights for leaders.
Key job responsibilities
Design, manage, and optimize sales plays and programs: set goals, establish timelines, develop RACI matrices, manage campaign codes and SFDC service mappings, and continuously track pipeline influence, win rates, and deal velocity to inform iteration
Own Sales play execution for the Open Data for AI portfolio (Project Avalanche/Iceberg, SageMaker Unified Studio, Context): define plays in Alchemy, create HighSpot pages with value propositions and discovery questions, publish to Sales Velocity Dashboard with complete metadata, push to Autonomous Prospecting, and track performance (Created ARR, win rate, deal velocity, launched ARR) across all AWS geographies
Develop and deliver internal and external enablement (virtual webinars, in-person roadshows, hands-on workshops, regional customer events via BOOST): analyze revenue and sentiment metrics to prioritize topics, build propensity-based target lists, execute multi-channel promotion, track 30-day (internal) and 6-month (external) pipeline influence via Zoom-to-SFDC matching, and feed the prescriptive scorecard
Collaborate with Avalanche GTM, SA organizations, and field specialists to position open table formats (Iceberg) as the data foundation for AI, disseminate competitive differentiation and customer proof points for the portfolio to field sellers and the AWS Partner Network
Report program status and strategic recommendations to senior leadership through Amazon business narratives and MBR documents, including pipeline metrics, scorecard verdicts, and resource allocation guidance
Design and deploy AI-powered productivity tools (Amazon Quick Desktop skills, Q Apps, Q Agents) to automate operational workflows across the team
A day in the life
The mission of the Data Sales Acceleration Team is to create and leverage mechanisms that increase the velocity of data and analytics sales from top-of-funnel lead generation to launching and scaling customers' data and analytics productions. As the Open Data for AI GTM Specialist, you will spend your time designing enablement programs that teach sellers to position Iceberg migrations, collaborating with the Avalanche GTM specialists' team on new launches, analyzing pipeline and attach metrics to identify coverage gaps, and running global enablement sessions. You will work across time zones with AWS employees from sales, solutions architecture, product marketing, and partner organizations.
About the team
The Data Sales Acceleration team drives GTM enablement and sales play execution for Database, Analytics, and Data Foundations for AI across seven workstreams: Program Management, Sales Play Execution, Internal Enablement, External Enablement, Content/HighSpot Management, Newsletters & Comms, and Productivity & AI Agents

Operating through a domain-mapped model integrated with Banjot Chanana's Data organization, the team builds scalable mechanisms the worldwide field self-serves, measures impact through closed-loop pipeline attribution, and prioritizes what to enable next based on revenue and sentiment signals.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US