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Entry Level Data Science Jobs in Issaquah, WA (NOW HIRING)

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

We are engineers, scientists, arborists, landscape architects, planners, and more, with decades of ... Conduct site visits and field investigations to gather data and assess project requirements.

We are engineers, scientists, arborists, landscape architects, planners, and more, with decades of ... Conduct site visits and field investigations to gather data and assess project requirements.

We are engineers, scientists, arborists, landscape architects, planners, and more, with decades of ... Conduct site visits and field investigations to gather data and assess project requirements.

We are engineers, scientists, arborists, landscape architects, planners, and more, with decades of ... Conduct site visits and field investigations to gather data and assess project requirements.

2027 Intern - Technology

Bellevue, WA · On-site

$16.75 - $22.50/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

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Entry Level Data Science information

See Issaquah, WA salary details

$12

$21

$31

How much do entry level data science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level data science in Issaquah, WA is $21.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $24.66 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Issaquah, WA?

The most popular types of Data Science jobs in Issaquah, WA are:

What job categories do people searching Entry Level Data Science jobs in Issaquah, WA look for?

The top searched job categories for Entry Level Data Science jobs in Issaquah, WA are:

What cities near Issaquah, WA are hiring for Entry Level Data Science jobs?

Cities near Issaquah, WA with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Issaquah, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $45,706 per year, or $22 per hour.

Business Analyst, Integrated Demand Center, AWS Marketing, IDC Analytics, IDC Analytics

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Execute analyses, build dashboards, and support data pipelines to report on campaign performance.

  • Build, maintain, and enhance dashboards and reports in QuickSight for campaign tracking and operational visibility.

  • Write SQL queries against Redshift to extract and transform marketing data for reporting and analysis.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

The IDC Analytics team is looking for a motivated, detail-oriented Business Analyst I to join our team and contribute to the analytics foundation that powers AWS Marketing's demand generation engine. In this entry-level role, you will execute analyses, build dashboards, and support the data pipelines that underpin campaign performance reporting across the IDC organization. You will work closely with senior analysts and marketing stakeholders to deliver accurate, timely reporting while developing your analytical skills in a fast-paced, data-rich environment. This is an ideal opportunity for someone early in their career who is passionate about turning raw data into actionable insights, enjoys hands-on SQL and dashboard work, and wants to grow their craft within one of the most analytically driven marketing teams at AWS.
Key job responsibilities
• Execute analytical requests from marketing stakeholders, delivering accurate data pulls, ad-hoc analyses, and structured summaries
• Build, maintain, and enhance dashboards and reports in QuickSight to support campaign performance tracking and operational visibility
• Write SQL queries against Redshift to extract and transform marketing data for reporting and analysis
• Perform data quality checks and validation to ensure accuracy and consistency across reporting pipelines
• Support senior analysts in developing measurement frameworks, attribution analyses, and funnel reporting
• Collaborate with data engineering to troubleshoot ETL pipeline issues and improve data reliability
• Use AI tools (such as Kiro IDE, Amazon Quick, and MCP-based assistants) to accelerate data exploration, query generation, and reporting workflows
• Support the development of AI-powered automations for data validation and report generation, reducing manual turnaround times
• Assist in gathering and documenting business requirements from marketing stakeholders, translating them into Business Requirement Documents (BRDs) used by D:SE (Data Science & Engineering) and S&O (Strategy & Operations) teams to build and enhance performance dashboards
• Document analytical methodologies, query logic, and reporting processes in team knowledge bases
• Prepare data summaries and visualizations for weekly and monthly business reviews
A day in the life
Your focus is turning marketing data into clear answers. Most mornings, you'll check dashboards to see how campaigns perform, dig into anomalies, and share findings with the marketers running those campaigns before they even ask. You'll write SQL against large datasets to deep dive and do root cause analysis - connecting top of funnel metrics to revenue impact. You'll partner with teams to translate their questions into structured analytical plans, and use AI tools to automate reporting, validate data, and speed up your workflows. When something interesting surfaces, you won't wait to be asked - you'll bring it to the table.
About the team
The Integrated Demand Center (IDC) is AWS Marketing's unified function for planning, delivering, and measuring demand generation at scale. The IDC Analytics team sits within Demand Services, the shared services arm powering campaign execution and innovation. We generate actionable insights across the IDC - delivering analytics, custom reporting, and clear recommendations that help teams optimize performance, strengthen adoption, and accelerate revenue impact. Our work spans configuring dashboards, defining and monitoring delivery KPIs, translating business requirements into technical specifications, supporting steering reviews and QBRs, and partnering with marketers to transform complex data into data-driven decisions at strategic, tactical, and operational levels.
BASIC QUALIFICATIONS
- Bachelor's degree in mathematics, engineering, statistics, computer science or a related field
- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
PREFERRED QUALIFICATIONS
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience using very large datasets
- Experience in Online Advertising/Marketing/Sales/Digital Media
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 80,200.00 - 97,600.00 USD annually

What Amazon employees say

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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