Top Senior Analytics Jobs in Portland, OR

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Build and maintain production data pipelines, dbt models, Airflow workflows, and governed datasets supporting People Analytics. Integrate Workday and other HR systems into reliable Snowflake data products, implement data quality monitoring, row-level security, semantic models, and AI agents. Partner with engineers, analysts, data scientists, and business stakeholders to deliver trusted data solutions, communicate technical trade-offs, enforce governance, and mentor other engineers.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Develops enterprise supply chain dashboards, scorecards, reports, data models, and business intelligence solutions using Oracle Fusion Data Intelligence and related platforms. Analyzes complex datasets, creates KPIs, validates data, supports governance, resolves reporting issues, and translates business needs into actionable insights. Partners with procurement, sourcing, inventory, warehouse, and supplier-management stakeholders; provides training and production support; and leads continuous improvement initiatives.

Leads manufacturing analytics and data systems initiatives for a polishing pads factory. Develops Power BI dashboards, KPI scorecards, automated analytical tools, data models, and reporting solutions using cloud platforms and manufacturing systems. Analyzes production and quality data, resolves data-quality and pipeline issues, supports automation improvements, and communicates insights to technical and business stakeholders. Partners cross-functionally on continuous improvement, data governance, digital transformation, and scalable analytics solutions.

Build scalable Python backend services, data pipelines, and analytics platforms supporting fraud attribute development, machine learning model development, deployment, and monitoring. Design maintainable production systems, implement CI/CD and infrastructure as code, manage AWS and on-premises environments, improve reliability and security, troubleshoot pipelines, and process large datasets for analytics and visualization.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.

Leads analytics for a designated sub-vertical, serving as the primary analytics partner to Sales and senior clients. Translates ambiguous business questions into actionable insights, manages analytic engagements, supports partner performance, and influences campaign strategy. Uses SQL, AI tools, and compelling storytelling to deliver analysis, QBR narratives, measurement frameworks, and recommendations. Represents analytics in cross-functional and external discussions while helping prioritize team capacity and evolve scalable analytic processes.

Leads the strategy, development, and delivery of client-facing reporting and analytics for life sciences clients. Builds Power BI dashboards, automated reporting, self-service analytics, KPI frameworks, and data governance standards. Translates commercial, medical, operational, claims, prescription, and client data into actionable insights. Partners with technical and business stakeholders, manages reporting priorities, vendors, budgets, and project delivery, and presents findings to executives and clients.

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews.

Owns sales and creator-commerce data end to end, building tested and documented dbt models, semantic-layer metrics, and Omni dashboards. Partners with Sales, RevOps, Product, and data engineering to model CRM, pipeline, funnel, commerce, and product-usage data. Establishes trusted metric definitions, improves self-service reporting, enables AI-assisted data querying, reviews code, documents decisions, and serves as the primary owner of Kit’s sales data domain.

Build and maintain large-scale data pipelines and analytics platforms for EDA datacenter observability, telemetry, reliability analysis, and capacity forecasting. Develop batch and streaming workflows, data models, quality frameworks, monitoring, and retention strategies using metrics, logs, traces, and hardware health data. Partner with observability engineers, data scientists, analysts, and infrastructure teams to deliver scalable, reliable, discoverable datasets for analytical and predictive use cases.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Leads a team of Operations Analysts delivering dashboards, reporting, governed datasets, process improvements, and actionable insights across Global Operations. Establishes priorities, standards, and accountability while integrating AI, automation, and predictive analytics into operational workflows. Partners with cross-functional stakeholders to identify use cases, improve data quality, manage change, and support executive decision-making across supply chain, manufacturing, logistics, and semiconductor operations.

Designs and maintains scalable data pipelines, integrations, and foundational data models using Snowflake, dbt, and AWS. Establishes data quality, testing, governance, and documentation standards while supporting analytics, financial systems, and reporting. Partners with Engineering, Analytics, Finance, and Operations, leads technical decisions, improves development workflows, mentors teammates, and incorporates AI coding agents into engineering processes.

Leads the development of scalable business intelligence, reporting, dashboards, data governance, and analytics capabilities. Integrates syndicated CPG, loyalty, inventory, and store-level data to generate actionable commercial insights. Partners with Consumer Insights and cross-functional leaders, manages external data providers, improves data quality, and helps implement AI-enabled reporting and analytical workflows. Requires strategic leadership combined with hands-on data, BI, and stakeholder engagement.

Leads operational analytics and reporting for Business Operations, including recurring performance reporting, KPI development, dashboards, data validation, root-cause analysis, and actionable insights. Partners with cross-functional leaders to improve performance management, reporting automation, data quality, and decision-making. Builds and develops a high-performing analytics team while connecting operational metrics to customer experience, productivity, service, revenue, and cost.

Leads strategy, roadmaps, quality standards, and modernization for College Board’s higher education data programs. Builds affordability measurement frameworks, dashboards, reports, market analyses, and opportunity scoring to guide institutional and student outreach. Analyzes international higher education data to expand SAT and AP recognition. Partners cross-functionally, manages external relationships, influences stakeholders, and translates complex datasets into strategic recommendations and actionable insights.

Design and maintain Twilio’s R&D analytics data layer using AWS and analytics modeling tools. Define metrics and data lineage, build automated reconciliation and quality checks, investigate anomalies, and communicate solutions. Collaborate with Product and Engineering, mentor analytics team members, and establish best practices for data modeling, testing, documentation, and code review.

Build and maintain dimensional data models in dbt and Snowflake for finance, operations, product, sales, and other business functions. Translate business questions into reliable data solutions, own model lifecycles, establish modeling and testing standards, optimize Snowflake performance and costs, collaborate with data engineering teams, review code, mentor colleagues, and communicate data definitions and tradeoffs to business leaders.

Build and maintain dbt transformation models and Power BI semantic layers on Microsoft Fabric. Establish data quality testing, observability, governance, CI/CD, documentation, and access controls. Partner with business and technology stakeholders to define reliable metrics and data products, optimize performance and costs, troubleshoot issues, and mentor analysts and engineers while advancing analytics engineering standards.