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Entry Level Cloud Data Analyst Jobs in Seattle, WA

AWS Cloud Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for ... Experience setting up AWS Data Platform - AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR ...

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for ... Experience setting up AWS Data Platform - AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR ...

Data & AI Platform Engineer

Bellevue, WA

$129K - $155K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

This is a unique opportunity to shape the future of intelligent query management for the world's most popular cloud data warehouse, powering analytical workloads for Fortune 500 companies, startups ...

This is a unique opportunity to shape the future of intelligent query management for the world's most popular cloud data warehouse, powering analytical workloads for Fortune 500 companies, startups ...

The role involves leading the delivery of marketing implementation engagements, managing data ... analysis and technology implementation experience. • Ability to adapt to a dynamic work ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... data analytics to design, build, and deploy custom cloud-native applications and services. Our teams help clients rapidly prototype, scale, and productionize transformative solutions while ...

... data analytics to design, build, and deploy custom cloud-native applications and services. Our teams help clients rapidly prototype, scale, and productionize transformative solutions while ...

... data analytics to design, build, and deploy custom cloud-native applications and services. Our teams help clients rapidly prototype, scale, and productionize transformative solutions while ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and strong ...

WHAT WE DO Our Data and Analytics consultants work with clients at all levels of the organization ... Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data ... cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on ...

WHAT WE DO Our Data and Analytics consultants work with clients at all levels of the organization ... Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Cloud Data Analyst information

See Seattle, WA salary details

$15

$37

$70

How much do entry level cloud data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level cloud data analyst in Seattle, WA is $37.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $41.88 per hour, depending on experience, location, and employer.

What is an entry level cloud data analyst?

Entry level cloud data analysts are professionals who assist organizations in collecting, processing, and analyzing data stored on cloud platforms. They use tools and technologies such as SQL, Python, and cloud services like AWS, Google Cloud, or Azure to generate insights that support business decisions. Their responsibilities often include data cleaning, report generation, and creating visualizations, all while learning to optimize workflows in the cloud environment. These roles are ideal for recent graduates or individuals transitioning into cloud and data analytics fields, offering opportunities to build foundational skills and grow within the industry.

What are the key skills and qualifications needed to thrive as an entry level cloud data analyst?

To thrive as an Entry Level Cloud Data Analyst, you need a solid understanding of data analysis fundamentals, basic programming skills (often in Python or SQL), and familiarity with cloud platforms, typically supported by a relevant degree or coursework. Experience with tools like AWS, Azure, Google Cloud, and data visualization software such as Tableau or Power BI, as well as entry-level certifications like AWS Certified Cloud Practitioner, are commonly expected. Analytical thinking, problem-solving, and strong communication skills help you interpret data and collaborate with technical and non-technical teams. These skills are crucial for turning complex cloud-based data into actionable insights that drive business decisions.

How does an entry level cloud data analyst typically collaborate with other teams within an organization?

As an Entry Level Cloud Data Analyst, you'll frequently work alongside data engineers, software developers, and business analysts to ensure data is properly collected, stored, and interpreted in cloud environments. Collaboration often involves participating in meetings to discuss data requirements, sharing findings with business stakeholders, and assisting in building dashboards or reports. Effective communication and teamwork are key, as you'll be translating technical data insights into actionable information for non-technical team members. You may also support senior analysts in troubleshooting data pipeline issues and optimizing cloud-based data solutions.

What is the difference between Entry Level Cloud Data Analyst vs Cloud Data Engineer?

AspectEntry Level Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; basic knowledge of cloud platformsBachelor's or higher in Computer Science, Software Engineering; certifications like AWS or Azure
Work EnvironmentData analysis teams, cloud platforms, reporting toolsData infrastructure, cloud architecture, data pipelines
Employer & Industry UsageTech companies, finance, healthcare, retailCloud service providers, large enterprises, tech firms
Common Search & ComparisonYesYes

The Entry Level Cloud Data Analyst focuses on interpreting data, creating reports, and supporting decision-making using cloud tools. In contrast, a Cloud Data Engineer designs and maintains data pipelines and infrastructure on cloud platforms. While both roles work within cloud environments, analysts primarily analyze data, whereas engineers build and optimize data systems.

What are the most commonly searched types of Cloud Data Analyst jobs in Seattle, WA?

The most popular types of Cloud Data Analyst jobs in Seattle, WA are:

What job categories do people searching Entry Level Cloud Data Analyst jobs in Seattle, WA look for?

The top searched job categories for Entry Level Cloud Data Analyst jobs in Seattle, WA are:

Infographic showing various Entry Level Cloud Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,940 per year, or $37.5 per hour.

Full-time

Posted 17 days ago


Key responsibilities

  • Create visualizations and workflows within the Adobe suite for delivery to product, marketing, and executive leadership.

  • Review and analyze historical KPIs and product performance metrics to inform decision-making.

  • Facilitate meetings and workshops to gather and understand requirements, and create acceptance criteria for project deliverables.


Job description

At Strong-Bridge Envision Consulting (an HCL Technologies company), we work as true partners both with our employees and our clients, embodying our number one value: People First. Our team is driven by a desire to always learn, improve, and innovate. We take an open-minded approach to opportunities and challenges and are focused on solving business challenges.
We deliver programs and projects that exceed stakeholder expectations. To be successful here, you will be a driver with a flexible working style, and excellent communication skills; you will think strategically and act tactically.
Strong-Bridge Envision Consulting (an HCL Technologies company) is seeking an experienced Business Analyst / Analytics Product Owner to join our firm as a dedicated full-time employee. This is a Seattle based opportunity; relocation is not provided.
Must have experience working on projects focused on analytics solutions and performance measurement.
Responsibilities:
  • Responsible for creating visualizations and workflows within the Adobe suite for delivery to product, marketing, and executive leadership.
  • Review and analyze historical KPIs and product performance metrics.
  • Decompose enterprise and channel-level strategy into meaningful product level goals and metrics.
  • Measure marketing campaign performance and digital (web, mobile, microsites, paid media, email, etc�) behavior across the end-to-end journey of a telecom customer.
  • Requirement elicitation: Facilitate meetings and workshops, create a shared understanding with stakeholders, and engage team members to gather and understand requirements.
  • Create acceptance criteria to express requirements. Ensure test and validation plans are complete.
  • Become a subject matter expert for assigned area and assist in program design and vision. Be the primary liaison between product managers, data engineers, and data visualization team members. Communicate scope changes to the delivery team.
  • Accountable for interpreting and explaining analytics outputs to support executive reviews, following up on corrections/errors, and remediation.

Qualifications:
  • Bachelor's degree, and 2 years of experience as an Adobe Analyst, working on projects focused on decision sciences and/or analytics solutions.
  • In-depth knowledge of Adobe Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc
  • Interim level knowledge and experience with Adobe Marketing Cloud Analysis Workspace
  • Prefer familiarity with other Adobe Marketing Cloud products Adobe Audience Manager and Adobe Test & Target
  • Preferred fluency in SQL with experience querying large databases.
  • Experience defining KPIs and metrics that are aligned to enterprise level objectives.
  • Expertise driving product big picture strategy that ties together priority and continuity across each feature delivery.
  • Excellent verbal and written communication skills and the ability to interact professionally with diverse groups, executives, managers, and subject matter experts.
  • Experience conducting stakeholder interviews and facilitating stakeholder workshops.
  • Ability to work independently and in fast-paced environments with tight deadlines and minimal supervision.
  • Extraordinary attention to detail.
  • Ability to work permanently in the U.S. on a full-time basis
  • Must be in the Seattle area or willing to relocate; with ability to work on the client site 100% of the time .

Desired Skills:
  • Prior client-facing management consulting experience.
  • A talent for multi-tasking, meeting deadlines, learning new skills and methodologies, and working under pressure in fast paced environment.
  • Flexible working style, ability to work in various types of client environments.
  • Excellent communication skills, and proven ability to communicate effectively across the organization.
  • Ability to lead decision making through influence, with the ability to make sound decisions in the best interest of the client as needed throughout the project lifecycle.
  • Collaborative working style with the ability to flex with many different types of working styles on client site.