Top Data Analyst Jobs in Seattle, WA

Own and maintain the Propel PLM system to ensure accurate product data, BOMs, and integrations with ERP/CRM. Configure workflows, roles, and data structures; validate product and manufacturing documentation; support cross-functional teams; lead PLM projects; drive data quality improvements, user training, and continuous system enhancements to align PLM with production and supply chain operations.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Analyze data center operational practices, identify risks and inconsistencies, and create scalable enablement materials (SOPs, runbooks, templates, training). Partner with technicians, engineers, security, and compliance to validate procedures, support audit readiness, and leverage modern tooling including AI/LLM workflows to accelerate documentation and onboarding.

The SQL Data Analyst will focus on Business Intelligence development, data modeling, and advanced SQL query capabilities while working with Microsoft technologies.

We are seeking a DevOps Data Analyst with 8+ years of experience in CI/CD, BI development on Microsoft platforms, and advanced data analysis skills. Responsibilities include developing SSIS packages, SQL Server deployment, and OLAP Cube development.

The SQL Data Analyst will develop BI solutions, create scalable reports, and work with SQL Server and Microsoft BI technologies to enhance data visualization and analysis for clients.

Manage market and index data vendors, conduct due diligence, support data governance, partner with investment teams to resolve data issues, advise on licensing and contracts, and improve market data processes and controls to deliver scalable solutions.

Lead payroll data integrity, reporting, and analytics across HRIS, timekeeping, payroll, and GL systems. Build dashboards, KPIs, reconciliations, and ad-hoc reports; own incident lifecycle, RCA, UAT, integrations, and training to improve payroll accuracy and automation.

As a Data Analyst II, you will analyze web and app traffic data to generate insights, develop metrics, evaluate experiments, and enhance user engagement and conversions.

Partner with product and business leaders to analyze insurance data for pricing, underwriting, retention, and competitive intelligence. Build and maintain SQL queries, Power BI dashboards, perform descriptive/diagnostic analyses, measure product changes, ensure data accuracy, and work autonomously on cross-functional initiatives.

Perform marketing analytics for Redfin integration: ingest and validate Redfin data feeds, analyze campaign performance and attribution, build dashboards and reports, and collaborate with marketing and engineering to support data pipelines and measurement.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Analyze A/B experiments and large datasets to determine why experiments performed well or poorly. Communicate results to business partners, validate and improve data-driven decision processes, build key metrics and modeling reports, and collaborate with business and engineering stakeholders.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Customer-facing analytics role partnering with life sciences teams to design and execute real-world evidence studies using EHR data. Translate research questions into analytical approaches, run analyses in SQL/R/Python, advise on study design and bias mitigation, deliver rapid and deep investigations, support publications, and provide technical troubleshooting and enablement while informing product improvements.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

Analyze digital marketing campaigns and leverage data to inform business decisions, drive optimizations, and improve performance metrics.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

Lead enterprise-scale data and AI transformation by translating business needs into AI-ready data foundations, automating data flows, defining governance and metadata strategies, shaping data products, partnering with engineering to build scalable pipelines, and driving adoption and measurable business outcomes.

Entry-level data analyst supporting advertising insights and custom analytics engagements. Pulls and cleans competitive ad spend and creative data, runs share-of-spend and creative-surfacing workflows, builds early hypotheses, performs QA, and supports multiple accounts while learning internal tools and methodologies to grow into a client-facing analyst role.

The Data Analyst will perform data analysis, validation, and quality assessments, support MDM implementations, and collaborate with stakeholders to ensure accurate master data.