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Engineering Data Analyst Jobs in Seattle, WA (NOW HIRING)

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$177K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$147K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Monograph

Data Analyst, Payments

Seattle, WA · On-site

The team partners closely with the engineering, product, finance, and partnership groups to manage ... Introduce data and process efficiencies to meet the scale and speed of Stripe. Identify and ...

USM

DevOps Data Analyst - ONLY LOCALS

Redmond, WA · On-site

... Data Analyst - ONLY LOCALS Location - Redmond, WA - Local Candidates only - in-person interview ... Duration - 6 months Bachelor's degree in Computer Science, Engineering, Business or related field ...

USM

SQL Data Analyst - ONLY LOCALS

Seattle, WA

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only ...

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented ... programming experience, including knowledge and understanding of database technology and data ...

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented ... programming experience, including knowledge and understanding of database technology and data ...

SRI Tech solutions Inc

Sr. Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities ... Very strong SQL programming experience, including knowledge and understanding of database ...

Amazon

Business Analyst III - AMZ9898258

Bellevue, WA · On-site

$122K - $160K/yr

... Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor ... Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation.

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All JobsEngineering Data Analyst JobsEngineering Data Analyst Jobs in Seattle, WA

Engineering Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do engineering data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for engineering data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What is an engineering data analyst?

An Engineering Data Analyst is a professional who uses data analysis techniques to support engineering projects and decision-making. They collect, clean, and interpret large sets of engineering data, often using specialized software tools. Their work helps identify trends, optimize processes, and improve the efficiency and quality of engineering solutions. They often collaborate with engineers and project managers to turn data insights into actionable recommendations.

What are the key skills and qualifications needed to thrive as an engineering data analyst?

To thrive as an Engineering Data Analyst, you need strong analytical skills, proficiency in mathematics and statistics, and a background in engineering or a related quantitative field. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, along with relevant certifications, is often required. Attention to detail, problem-solving ability, and effective communication help you interpret data and translate findings for technical and non-technical stakeholders. These skills are crucial for transforming complex engineering data into actionable insights that drive process improvements and innovation.

What are some common challenges faced by engineering data analysts when working with cross-functional teams?

Engineering Data Analysts often collaborate with teams such as software engineers, project managers, and product designers. A common challenge is bridging the gap between complex analytical findings and actionable insights for non-technical colleagues. Clear communication and the ability to translate data into practical recommendations are essential. Additionally, managing multiple priorities and ensuring data integrity across various sources can be demanding but is crucial for successful project outcomes.
Engineering Data Analyst jobs near you
Infographic showing various Engineering Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Business Data Analyst

Bellevue, WA • On-site

Strong-Bridge Envision Consulting
Business Management Consulting • 201 - 500 employees
Learn more about Strong-Bridge Envision Consultingexternal

Full-time

Posted 25 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.

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