Top Software Data & Analytics Jobs in Seattle, WA

The IT Auditor manages and conducts internal and external audits, assesses security risks, identifies control gaps, and provides audit training. Requires collaboration with compliance teams and effective communication of audit results to management.

The Senior Data & Reporting Analyst will design and maintain dashboards and reports using Salesforce and Power BI, analyze data trends, support operational decisions, and ensure data quality for sales performance and strategy.

The CDP Data Engineer will configure data flows and schemas in Adobe platforms, ensuring quality data ingestion and identity resolution for telecommunications clients.

The Sr. Pricing and Monetization Analyst will develop pricing models, conduct market analysis, support deal monetization, and automate KPI dashboards to optimize pricing strategies and revenue.

The Staff Market Researcher leads research initiatives to support competitive positioning, brand strategy, and identify growth opportunities through comprehensive analysis and cross-functional collaboration.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

Manage and optimize the Salesforce environment for Revenue Operations, enhancing Sales, Success, and Marketing workflows through automation and data integrity.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

The Data Product Manager will manage data life cycle for payer and partner data, ensuring data quality and supporting customer success through effective communication and problem-solving. Responsibilities include handling data requests, attribution management, and data enrichment for healthcare projects.

The Sr Data Analyst will conduct data analysis for product development, create reports and dashboards, communicate insights to stakeholders, run experiments, and collaborate with teams to evaluate feature usage and performance.