Top Senior Data & Analytics Jobs in Seattle, WA

Designs and maintains scalable data pipelines and infrastructure, establishes data governance and quality standards, and drives technical decisions across Headway’s data platform. Partners with Product, Engineering, Analytics, Data Science, Infrastructure, Finance, and Insurance Systems to improve architecture, performance, reliability, security, and AI-readiness. Ensures data is complete, traceable, trustworthy, and suitable for powering internal tools and AI-driven insights.

Analyze customer support experiences and define success metrics at Remitly. Partner with product, program, engineering, and analytics teams to deliver insights influencing product and process design. Communicate metrics and recommendations to stakeholders, manage strategic analytics initiatives, build dashboards, model complex scenarios, conduct experimentation, and drive measurable business outcomes.

Manage client data, analytics, and AI managed-services workstreams. Develop data pipelines, dashboards, reporting, and analytics outputs; remediate data-quality issues; tune AI models and platform components; and improve data operations, observability, and reporting workflows. Collaborate with clients to translate business needs into data solutions, interpret insights, review deliverables, and mentor junior team members.

Leads marketing media measurement strategy across Social, TV, Influencer, and Content Marketing. Owns Marketing Mix Modeling, incrementality testing, causal inference, attribution, experimentation, and media effectiveness analysis. Uses SQL and statistical programming to evaluate customer and media data, develop investment recommendations, and communicate findings to executives. Partners cross-functionally with Marketing, Finance, Data Science, Engineering, Product, and agencies while leading analytics talent and remaining hands-on.

Leads business intelligence and operations analytics for frontline, backline, workforce management, and customer experience teams. Builds scalable Tableau reporting frameworks, defines KPIs and data requirements, analyzes operational datasets, and performs root-cause investigations. Translates findings into recommendations for process improvement, workforce planning, and member experience. Partners with engineering, product, data science, and business leaders while using AI tools to accelerate analytics and mentoring junior analysts.

Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.

Leads paid media analytics initiatives, including media mix modeling, experimentation, attribution, forecasting, and scenario planning. Owns data workflows using SQL, Python, and Databricks; translates findings into recommendations for marketing and senior leaders. Partners cross-functionally to define metrics, communicate analytical insights, automate reporting with AI and GenAI, and optimize media investments against business outcomes.

Leads business performance analysis for Expedia Lodging and Portfolio brands, evaluating site metrics across brands, geographies, channels, platforms, and business lines. Sets and reforecasts performance targets with Finance and business leaders, monitors results, optimizes spend allocation, identifies performance drivers, and communicates insights to senior stakeholders. Builds trusted partnerships across Finance, Marketing, Analytics, Product, Technology, and Supply teams.

Leads a team of 7–8 analytics professionals supporting user growth, activation, engagement, retention, conversion, and rentals analytics. Owns experimentation strategy, A/B and multivariate testing, KPI frameworks, funnel diagnostics, dashboards, Snowflake data models, and Tableau self-service analytics. Partners with Product, Engineering, Design, and Finance to guide growth investments and senior-level decisions. The role also requires hiring, coaching, AI-enabled analytics workflows, and strong statistical and causal reasoning.

Leads the People data ecosystem, including Snowflake workforce data models, pipelines, governance, metric certification, and data quality. Develops scalable workforce analytics products using Visier and Snowflake, enables governed AI-driven insights, replaces manual reporting with self-service solutions, and manages a high-performing team of data and analytics professionals.