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Assistant Data Analyst Jobs in Renton, WA (NOW HIRING)

WilsonCTS

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Collaborate with business users and IT teams to execute data corrections and mass updates. * Assist ... Analyze trends, patterns, and business insights from large datasets. * Present findings and ...

HCL

Business Data Analyst

Bellevue, WA · On-site

Become a subject matter expert for assigned area and assist in program design and vision. Be the ... Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Health Data Analyst will assist in the production of performance reports, specialized analytics and enhancements to the client reporting system. The Sr. Data Analyst must be an exceptionally ...

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

The Sr. Health Data Analyst will assist in the production of performance reports, specialized analytics and enhancements to the client reporting system. The Sr. Data Analyst must be an exceptionally ...

PeopleConnect

Senior Financial Data Analyst

Bellevue, WA · On-site

$141K - $180K/yr

We are looking for a Senior Financial Data Analyst to serve as a collaborative advisor to finance ... tools to assist teams in achieving financial targets. * Automate data workflows: Identify ...

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Assistant Data Analyst information

See Renton, WA salary details

$31.5K

$80.6K

$154.1K

How much do assistant data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for assistant data analyst in Renton, WA is $80,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,100.00 and $93,900.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
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 Assistant Data Analyst jobs in Renton, WA look for? The top searched job categories for Assistant Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Assistant Data Analyst jobs? Cities near Renton, WA with the most Assistant Data Analyst job openings:
Assistant Data Analyst jobs near you

Data Analyst

WilsonCTS

Redmond, WA • Hybrid

$55 - $60/hr

Other

Posted 7 hours 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.


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