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Data Analyst Jobs in Renton, WA (NOW HIRING)

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Data Analyst - PLM Implementation Location: Redmond, WA (Hybrid) Work Schedule: Hybrid Pay Rate: $55-$60 per hour Job Type: 1-year (Contract) Position Overview We are seeking a Data Analyst to ...

* 2+ years of Data Analyst experience * Strong experience with SAP, SQL, Excel, and Power BI * Experience with data analysis, validation, cleansing, and reporting * Ability to create dashboards and ...

Data Analyst Location : Redmond, WA Duration:- Long Term Contract, Extension Likely Mode of Interview : Telephone / Skype * Strong Experience in Data Analyst, SQL, Power BI, Tabular Cube, Excel.

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

SUMMARY OF POSITION The Data Analyst - Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the team that owns the A/B experimentation platform * Interacting with decision makers from around the ...

Data Analyst

Seattle, WA · On-site +1

$42 - $45/hr

Are you a data-driven visionary ready to revolutionize how a leading social marketing team makes critical decisions? This pivotal role offers the chance to design, build, and maintain the analytical ...

Data Analyst with Marketing or Reporting Data experience Location : Redmond, WA Duration : 18 Months Contract This data analyst role will evaluate sales and performance of various products in ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the team that owns the A/B experimentation platform * Interacting with decision makers from around the ...

Data Analyst Location â Redmond, WA Duration â 12 months Experience Required: â Advanced Excel Skills (beyond just vlookups and pivot tables) â knows how to aggregate data sources and make data ...

Lead Data Analyst Implementing new PLM tool Location: Redmond, WA - Hybrid, team is onsite M-W, remote Thurs-Fri Employment Type: Contract, potential conversion or extension Duration of Contract: 12 ...

Lead Data Analyst Implementing new PLM tool Location: Redmond, WA - Hybrid, team is onsite M-W, remote Thurs-Fri Employment Type: Contract, potential conversion or extension Duration of Contract: 12 ...

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst.

HSD's Data Performance and Evaluation (DPE) Team seeks a Temporary Data Analyst to support a variety of data projects and tasks, with a primary focus on the Youth and Family Empowerment (YFE ...

Temporary Data Analyst

Seattle, WA · On-site +1

$47.39 - $55.19/hr

HSD's Data Performance and Evaluation (DPE) Team seeks a Temporary Data Analyst to support a variety of data projects and tasks, with a primary focus on the Youth and Family Empowerment (YFE ...

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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.

Data Analyst

WilsonCTS

Redmond, WA • Hybrid

$55 - $60/hr

Other

Posted 4 days ago


Job description

Job Title: Data Analyst - PLM Implementation

Location: Redmond, WA (Hybrid)

Work Schedule: Hybrid

Pay Rate: $55-$60 per hour

Job Type: 1-year (Contract)

Position Overview

We are seeking a Data Analyst to support a large-scale Product Lifecycle Management (PLM) implementation initiative. This role will be responsible for collecting, validating, analyzing, cleansing, and transforming product data to support successful migration and implementation activities within a new PLM environment.

The successful candidate will work closely with business stakeholders, IT teams, and project leads to ensure data accuracy, integrity, and readiness for multiple data migration cycles. This position requires strong analytical capabilities, attention to detail, and the ability to work independently while supporting cross-functional teams.

Key Responsibilities

  • Data Analysis & Validation
  • Support project and workstream leads responsible for Bills of Material (BOMs), Parts, and associated documentation.
  • Analyze, validate, and verify data for multiple migration and data load activities.
  • Ensure data accuracy, integrity, and consistency across PLM and ERP systems.
  • Identify data quality issues and support remediation efforts.
  • Pull, analyze, and interpret data to support informed business decisions.

Data Migration & Cleanup

  • Support data cleansing initiatives for PLM and ERP systems.
  • Collaborate with business users and IT teams to execute data corrections and mass updates.
  • Assist in defining data transformation requirements between legacy and future-state systems.
  • Validate migrated data to ensure successful implementation outcomes.

Reporting & Insights

  • Develop reports, dashboards, and visualizations using Excel, Power BI, Tableau, or similar tools.
  • Analyze trends, patterns, and business insights from large datasets.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.
  • Support reporting automation and process improvement initiatives.

Documentation & Process Support

  • Develop and maintain documentation control methodologies supporting PLM processes.
  • Create, review, and update work instructions and process documentation.
  • Support process standardization and governance activities.
  • Assist with user support, reporting requests, and data-related inquiries.

Required Qualifications

  • Bachelor's degree required.
  • 1-3 years of experience in a Data Analyst, Business Analyst, or related role.
  • Strong experience with data analysis and reporting.
  • Advanced Microsoft Excel skills.
  • Experience working with SQL for data extraction and analysis.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to work independently and manage multiple priorities.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management abilities.

Preferred Qualifications

  • Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Experience supporting PLM implementations or PLM environments.
  • Experience with Windchill or similar Product Lifecycle Management platforms.
  • Experience working with ERP systems.
  • Experience with Power BI, Tableau, or other visualization tools.
  • Knowledge of data migration, validation, and cleansing methodologies.
  • Experience supporting enterprise transformation or system implementation projects.

Ideal Candidate

The ideal candidate is highly analytical, detail-oriented, and comfortable working with large datasets in a fast-paced project environment. They possess strong communication skills, are proactive in identifying data quality issues, and can effectively collaborate with business and technical teams to support a successful PLM implementation.