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Data Analytics Jobs in Redmond, WA (NOW HIRING)

McKinstry

Senior Data Analyst, People Analytics

Seattle, WA · On-site

$97K - $123K/yr

The Opportunity with McKinstry We are seeking a skilled People Analytics Sr. Data Analyst to advance people analytics, business intelligence, reporting, data stewardship, and workforce insights. This ...

Coupang Internal

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Redmond, WA

Data Analytics information

See Redmond, WA salary details

$27

$61

$105

How much do data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics in Redmond, WA is $61.31, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $69.47 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Redmond, WA?

The most popular types of Data Analytics jobs in Redmond, WA are:

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Redmond, WA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $127,532 per year, or $61.3 per hour.

Director of Engineering for Open Data Analytics Engines, Data Processing & Experience

Amazon

Redmond, WA • On-site

$128K - $154K/yr

Full-time

Re-posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

AWS Open Data Analytics Engines is a suite of fully managed, high-performance analytics services built on popular open-source frameworks, enabling customers to process, analyze, and derive insights from massive datasets with speed, flexibility, and cost efficiency. Open Data Analytics Engines make it easy for organizations to run petabyte-scale analytics using familiar open-source tools without the operational burden of managing infrastructure.
AWS Open Data Analytics Engines encompasses services purpose-built for large-scale data processing, interactive querying, real-time streaming, and machine learning workloads.

The platform leverages open-source engines such as Apache Spark, Presto/Trino, Apache Flink, and Apache Hive, delivering seamless integration with the broader AWS ecosystem. Compute and storage are decoupled, enabling elastic scaling, fine-grained cost optimization, and support for diverse data lake architectures.
As Director of Engineering for Open Data Analytics Engines, you will lead a group of top talent in advancing the strategy and technical roadmap for innovations in engine efficiency, query planning and optimization, features, and performance.

You'll drive the design, development, and operation of next-generation open-source analytics services on AWS, shaping the future of how customers run large-scale queries in the cloud.
Key job responsibilities
Grow and lead a software development organization responsible for building key AWS analytics services based on open-source engines.
Drive the design, implementation, testing, and deployment of managed analytics services spanning batch processing, interactive queries, and real-time streaming.
Own the strategy and technical roadmap for innovations in engine efficiency, query planning and optimization, and performance - setting the direction for how AWS advances the state of the art in open-source analytics


Draw from your deep and broad technical and management expertise to mentor senior engineers and managers, complete hands-on technical work, and provide leadership on complex technical issues, design tradeoffs, and feature and schedule prioritization.
Work with senior executives to develop business targets and resource requirements, influence technical and business strategy, hire talented engineers and managers, and conceive innovative new solutions for customers.
A day in the life
Leading the Open Data Analytics Engines team gives you the opportunity to:
Work on industry-defining products in the rapidly evolving open-source data analytics space
Solve challenging problems in query planning and optimization, distributed query execution, stream processing, resource scheduling, and performance at cloud scale
Build products that deliver the power of open-source analytics with the reliability, security, and ease-of-use customers expect from AWS
Work for a company that is a recognized leader in cloud computing
Be involved in the fast-growing cloud analytics and data lake market
Develop and execute a strategic roadmap for the future of open-source analytics on AWS .

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

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