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Data Analyst Jobs in Renton, WA (NOW HIRING)

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 ...

Data Analysts are responsible for importing, transforming, and validating (or querying) data with the purpose of understanding or drawing conclusions from the data to drive decision-making. They may ...

Data Analysts are responsible for importing, transforming, and validating (or querying) data with the purpose of understanding or drawing conclusions from the data to drive decision-making. They may ...

Data Analysts are responsible for importing, transforming, and validating (or querying) data with the purpose of understanding or drawing conclusions from the data to drive decision-making. They may ...

UW MEDICINE IT SERVICES has an outstanding job opportunity for a CTMS Data Analyst 1 position. (CTMS: OnCore Clinical Trials Management System) WORK SCHEDULE * 100% FTE - 40 hours per week * Day ...

CTMS Data Analyst 1

Seattle, WA · On-site +1

$95K/yr

UW MEDICINE IT SERVICES has an outstanding job opportunity for a CTMS Data Analyst 1 position. (CTMS: OnCore Clinical Trials Management System) WORK SCHEDULE * 100% FTE - 40 hours per week * Day ...

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented individual who is experienced, capable and comfortable working on dynamic, multi-faceted, fast-paced ...

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented individual who is experienced, capable and comfortable working on dynamic, multi-faceted, fast-paced ...

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Showing results 1-20

Data Analyst information

See Renton, WA salary details

$38.4K

$93.3K

$153.6K

How much do data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data analyst in Renton, WA is $93,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $109,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Renton, WA? The most popular types of Data Analyst jobs in Renton, WA are:
What job categories do people searching Data Analyst jobs in Renton, WA look for? The top searched job categories for Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Analyst jobs? Cities near Renton, WA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Renton, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,335 per year, or $44.9 per hour.

Business Data Analyst

HCL

Bellevue, WA • On-site

Full-time

Posted 16 days ago


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.