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Junior Data Quality Analyst Jobs in Bothell, WA (NOW HIRING)

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Data Quality Analyst II

Seattle, WA · On-site

$77K - $116K/yr

The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and consistency of our subscription data across all systems and platforms. The successful candidate will work ...

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Junior Data Quality Analyst information

See Bothell, WA salary details

$38.6K

$88.7K

$142.5K

How much do junior data quality analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for junior data quality analyst in Bothell, WA is $88,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What are Junior Data Quality Analysts?

Junior Data Quality Analysts are entry-level professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They typically assist in identifying data errors, implementing quality checks, and supporting data cleansing efforts. These analysts work closely with data teams to maintain data integrity and help develop processes for ongoing data quality improvements. Their role is crucial for organizations that rely on high-quality data for decision-making and operations.

What are some common challenges faced by Junior Data Quality Analysts when working with large datasets, and how can they overcome them?

Junior Data Quality Analysts often encounter challenges such as identifying inconsistencies, duplicates, and missing values within large and complex datasets. These issues can be overwhelming at first, especially when dealing with unfamiliar data sources or evolving business requirements. To overcome these challenges, it's important to develop a systematic approach to data profiling, use automated tools where possible, and collaborate closely with senior analysts and data engineers. Regular communication with stakeholders will also help clarify data definitions and priorities, making it easier to maintain high data quality standards.

What is the difference between Junior Data Quality Analyst vs Data Analyst?

AspectJunior Data Quality AnalystData Analyst
Required CredentialsTypically an associate's degree or relevant certifications in data quality or ITBachelor's degree in data science, statistics, or related fields
Work EnvironmentEntry-level, focused on data validation, cleaning, and quality checksAnalyzing data sets, creating reports, and deriving insights
Employer & Industry UsageUsed in organizations emphasizing data integrity, often in IT or finance sectorsCommon across various industries for decision-making and reporting

The Junior Data Quality Analyst primarily focuses on ensuring data accuracy and integrity, working closely with data management teams. In contrast, Data Analysts analyze data to generate insights and support business decisions. While both roles require familiarity with data tools, the Junior Data Quality Analyst emphasizes data validation and quality assurance, making it a more specialized entry-level position in data management.

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

To thrive as a Junior Data Quality Analyst, you need a solid understanding of data management principles, analytical thinking, and attention to detail, typically supported by a degree in computer science, information systems, or a related field. Familiarity with data quality tools (such as Talend or Informatica), SQL, and spreadsheet applications is common, while certifications in data management can be advantageous. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out in this role. These skills and qualities are crucial for ensuring accurate, reliable data that supports business decision-making and operational efficiency.
What job categories do people searching Junior Data Quality Analyst jobs in Bothell, WA look for? The top searched job categories for Junior Data Quality Analyst jobs in Bothell, WA are:
Infographic showing various Junior Data Quality Analyst job openings in Bothell, WA as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $88,706 per year, or $42.6 per hour.
Data Quality Analyst

Data Quality Analyst

The Select Group

Tukwila, WA • On-site, Remote

Full-time

PTO

Posted 12 days ago


Job description

Data Governance & Quality Consultant
Seattle, WA / Remote
We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services environment. This role requires a hands-on expert capable of navigating complex data ecosystems and collaborating with executive leadership and technical teams to deliver operational excellence.
Core Responsibilities
  • Data Strategy & Validation: Execute sophisticated data validation workstreams to ensure cross-system accuracy, completeness, and consistency.
  • Framework Development: Design and implement robust data quality standards, governance best practices, and regulatory compliance protocols.
  • Cross-Functional Advisory: Partner with IT and business stakeholders to architect scalable data strategies and resolve high-priority data quality issues.
  • Insights & Reporting: Synthesize complex datasets into actionable dashboards and executive-level briefings.

Technical Expertise
  • Alteryx: Advanced workflow automation, blending, and metadata management (Designer/Server/Connect).
  • Informatica IDMC: End-to-end integration mapping, PDO for ELT, and cloud source integration (AWS S3/Snowflake).
  • Snowflake: Architecture optimization, secure data sharing, and complex SQL development.
  • Databricks: Large-scale processing via Delta Lake, Apache Spark, and cloud-native integrations.
  • ETL/ELT: Design and management of robust migration pipelines and high-performance transformation strategies.

Qualifications
  • Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services.
  • Education: Bachelor's degree in CS, Data Science, or a related technical field.
  • Soft Skills: Exceptional problem-solving abilities and the communication style required for stakeholder management.

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