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Senior Data Associate Jobs in Renton, WA (NOW HIRING)

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Responsibilities : • Execute assigned components of solution designs handed off by Senior and ... Data Engineer Associate) or working toward them. • Familiarity with data privacy concepts (GDPR ...

Showing results 41-60

Senior Data Associate information

What is a senior data associate?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do senior data associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.

What are the key skills and qualifications needed to thrive as a senior data associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What is the difference between Senior Data Associate vs Data Analyst?

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

What job categories do people searching Senior Data Associate jobs in Renton, WA look for?

The top searched job categories for Senior Data Associate jobs in Renton, WA are:

What cities near Renton, WA are hiring for Senior Data Associate jobs?

Cities near Renton, WA with the most Senior Data Associate job openings:

Infographic showing various Senior Data Associate job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer (Kusto) - Bellevue , WA - Fulltime

Bellevue, WA • On-site

$119K - $162K/yr

Full-time

Re-posted 14 days ago


Job description

Job Description

Must Have Technical/Functional Skills:

Digital : Microsoft Azure;  Kusto; PL/SQL;  Digital : Microsoft Power BI;  Microsoft SQL Server 2012 Business Intelligence

Required Skills

Associate should be able to create Azure Policies and baseline rules. Also able to handle KPIs and corresponding dashboard development and maintenance. Should have excellent communication to handle the Office Hours or the support work. Design and implement scalable data architectures, ensuring high availability, reliability, and performance of data systems. Strategically architect, design, develop, and implement efficient information systems and/or operations systems in support of core enterprise functions. Understand business requirements, study existing application landscape, and identify redundant/ineffective systems Build, maintain, and optimize data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses or data lakes. Create data migration/system integration strategies. Conceptualize technical solutions to complex problems and maximize benefit of systems investments. Database Management: Manage and optimize databases (both SQL and NoSQL), ensuring data consistency, quality, and security. Integrate data from disparate sources, including APIs, flat files, and third-party data, ensuring comprehensive data availability for analytics and reporting. Implement and monitor data quality measures to ensure accuracy, completeness, and reliability of data. Design and develop/maintain the reports. Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Work closely with clients to gain organizational commitment for all systems and software plans, as well as evaluate and guide the selection of technologies required to complete those plans. Automate repetitive tasks to improve data processing efficiency and reduce manual intervention. Monitor system performance to detect and resolve problems during deployment and support change management. Maintain comprehensive documentation for data processes, systems, and pipelines to facilitate knowledge sharing and onboarding. Design and develop the reports mostly in Power BI.