ZipRecruiter

Log In

1

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

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

Adhere to Microsoft's data privacy and security requirements, responsible AI practices, and classification and governance standards throughout all analytical work. * Embody Microsoft's culture and ...

Skill

AI Data Engineer 3

Redmond, WA · On-site

$70 - $77/hr

Pay Range: $70/hr - $77/hr Here's a dynamic and engaging job posting for the AI Data Engineer 3 ... Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps ...

Aquent

AI Data Engineer 3

Redmond, WA · On-site

$70 - $77/hr

Pay Range: $70/hr - $77/hr Here's a dynamic and engaging job posting for the AI Data Engineer 3 ... Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps ...

Boeing

Engagement Senior Manager

Renton, WA

$191K - $277K/yr

Own and maintain an AI, Data, Automation and Analytics portfolio for BGS that provides transparent Key Performance Indicators (KPIs) and business value visibility * Lead intake, qualification, and ...

Boeing

Engagement Senior Manager

Renton, WA

$191K - $277K/yr

Own and maintain an AI, Data, Automation and Analytics portfolio for BGS that provides transparent Key Performance Indicators (KPIs) and business value visibility * Lead intake, qualification, and ...

Boeing

Engagement Senior Manager

Seattle, WA

$191K - $277K/yr

Own and maintain an AI, Data, Automation and Analytics portfolio for BGS that provides transparent Key Performance Indicators (KPIs) and business value visibility * Lead intake, qualification, and ...

Boeing

Engagement Senior Manager

Seattle, WA

$191K - $277K/yr

Own and maintain an AI, Data, Automation and Analytics portfolio for BGS that provides transparent Key Performance Indicators (KPIs) and business value visibility * Lead intake, qualification, and ...

Axon

Senior Data Analytics Engineer

Seattle, WA

Leverage AI tools (eg., Cursor, Claude, Gemini) to accelerate SQL query development, dashboard building and data model optimization. * Lead complex, multi-agency analytics implementations end to end ...

Axon

Senior Data Analytics Engineer

Seattle, WA · On-site

Leverage AI tools (eg., Cursor, Claude, Gemini) to accelerate SQL query development, dashboard building and data model optimization. * Lead complex, multi-agency analytics implementations end to end ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Seattle, WA · Remote

$35 - $50/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... analyses. * Direct experience supporting or driving projects in strategy, operations, sales ...

Talent Software Services, Inc

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

The ideal candidate combines strong analytical capabilities with a passion for data quality, process automation, and business intelligence. Job Responsibilities • Partner with engineering ...

next page

Showing results 1-20

All JobsAi Data Analytics JobsAi Data Analytics Jobs in Renton, WA

Ai Data Analytics information

See Renton, WA salary details

$27

$61

$106

How much do ai data analytics jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for ai data analytics in Renton, WA is $61.58, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $69.76 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance job security in these fields.

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.

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 salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

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.

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 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 in a collaborative environment.
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:
Ai Data Analytics jobs near you
Senior Manager - Data Analytics

Senior Manager - Data Analytics

Microsoft

Redmond, WA • On-site

Full-time

Posted 12 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

57th of 209 rated software companies

Job description

Overview
Microsoft's Audit, Risk and Compliance (ARC) organization is building a data-driven capability to complement traditional assurance work. This role is focused on proactive discovery: identifying emerging risks, "soft" signals, and systemic patterns by connecting data across organizational seams that complements traditional audit coverage models.
As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. 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 management actions into forward-looking risk intelligence.
This is not a traditional audit, reporting, or business intelligence role. This Senior Manager - Data Analytics role is designed to help ARC answer the question: "Where should we be looking that we aren't today?" Success will depend as much on curiosity, contextual judgment, and speed of iteration as on technical skill.
Responsibilities
  • Analyze large and diverse datasets across ARC - including audit findings, ethics and compliance signals, investigation data, and management action items - to uncover risk signals and patterns not visible through standard coverage approaches.
  • Develop and test analytical hypotheses in a rapid, experimental model; iterate on approaches across weeks rather than quarters and document learnings from both successful and unsuccessful analyses.
  • Connect disparate data sources across organizational boundaries to surface systemic risks, emerging trends, and areas that warrant proactive audit attention.
  • Apply a "red team" lens to ARC's risk landscape: scan broadly across data, generate new hypotheses about where risk may be concentrating, and present findings that challenge existing assumptions.
  • Determine appropriate analytical and statistical techniques to address audit and risk research questions; execute analyses and interpret results with clear, actionable recommendations.
  • Build and maintain reusable analytical frameworks, models, and self-service reporting solutions that improve ARC's ongoing visibility into enterprise risk.
  • Evaluate data quality, integrity, and fitness-for-purpose prior to analysis; independently address or escalate data issues in partnership with Data Engineering and other teams.
  • Translate analytical findings into clear risk narratives - presenting insights through dashboards, visualizations, reports, and talking points tailored to audit, compliance, and leadership audiences.
  • Share and simplify complex analyses into accessible summaries that enable decision-makers to act on data-driven recommendations quickly.
  • Work within and across teams - including audit leads, investigation teams, compliance operations, and data engineering - to align data sources, methodologies, analytical tools, and business priorities.
  • Support and advise on the design of formal experiments or analytical frameworks to evaluate the impact of new audit approaches, risk controls, or operational changes.
  • Adhere to Microsoft's data privacy and security requirements, responsible AI practices, and classification and governance standards throughout all analytical work.
  • Embody Microsoft's culture and values, modeling a growth mindset, curiosity, and a commitment to inclusion.

Qualifications
Required/minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Additional or preferred qualifications
  • Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations - through prior roles, internships, or coursework.
  • Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation.
  • Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent).
  • Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks, Azure Data Lake, or equivalent).
  • Experience identifying patterns or signals in unstructured or cross-domain data; comfort with exploratory data analysis without predefined hypotheses.
  • 1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field - including experience analyzing datasets to answer business or research questions.
  • Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources.
  • Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

FacebookTwitter

View All Microsoft Jobs

Apply