Top Analyst Jobs in Seattle, WA

Lead Skillsoft’s analyst relations strategy, building relationships with Gartner, IDC, Forrester, and other industry analysts. Plan briefings and engagement programs, develop messaging and executive materials, coordinate cross-functional stakeholders, manage inquiries and RFPs, monitor analyst coverage and sentiment, and use competitive intelligence to guide product, marketing, and go-to-market strategy. Drive positioning in analyst evaluations, amplify endorsements across marketing and sales channels, and track program KPIs.

Lead forecasting, budgeting, variance analysis, financial modeling, scenario planning, headcount planning, and executive reporting for go-to-market functions. Partner with senior leaders to connect financial performance with operational metrics, improve data quality, build dashboards, automate workflows, and support investment decisions. Collaborate across Accounting, Data, Revenue Operations, People, and Corporate FP&A to improve planning accuracy and business decision-making.

Develop and execute manual and automated tests, define test strategies and cases, build regression automation frameworks, track defects, and advocate for software quality. Collaborate with engineering and distributed cross-functional teams to deliver reliable mobile and digital products in a fast-moving startup environment.

Leads business and technical requirements analysis, business case development, process improvement, solution design, testing, implementation, and post-deployment optimization for Workday ERP systems. Partners with business leaders, architects, QA, IT, vendors, and project teams to deliver scalable solutions. Facilitates large-group meetings, mentors analysts, assesses system changes, and recommends continuous improvements across Workday modules.

Manages and enhances Workday PSA and ERP systems by gathering requirements, configuring business processes and reports, improving workflows, supporting financial data accuracy and security, assessing upgrades, managing vendors, and leading system projects. The role partners with business, finance, IT, and vendors while mentoring analysts and overseeing system lifecycle improvements.

Develop and maintain high-fidelity detections across endpoints, identities, SIEM, and operating systems. Conduct hypothesis-driven threat hunts, translate intelligence and attacker tradecraft into detection rules, tune detection efficacy, investigate ambiguous activity, and escalate likely intrusions. Build hunting queries and dashboards, document findings, support incident reporting, contribute to security content, and use validated AI-assisted workflows for detection development and analysis.

Conducts quality audits across underwriting, premium audit, and customer service departments; analyzes review data to identify trends and training opportunities; helps develop and deliver training; maintains process, authority, and governance documentation; facilitates calibration and quality meetings; coaches employees on procedures, systems, regulations, and expectations; and supports process improvement and implementation of new workflows.

Own the three-statement financial model, monthly forecast consolidation, executive and board reporting, long-range planning, and corporate forecasting. The role partners with Finance Systems and cross-functional stakeholders to maintain planning tools, improve forecast accuracy, support AI-driven finance systems, analyze business performance, and inform strategic decisions. It requires strong financial modeling, communication, presentation, and process-improvement skills.

Leads configuration data management and release activities for aerospace programs. Reviews engineering drawings, EBOMs, and ECOs; maintains configuration plans; performs audits and root-cause analysis; supports PLM tools, upgrades, and testing; ensures compliance with aerospace standards and contractual requirements; provides reporting and stakeholder support; and mentors team members while driving process improvements.

Owns the roadmap and backlog for pricing tools, gathers requirements, and coordinates delivery with data science engineering teams. Develops and maintains Earnix and SAS pricing tools, analyzes premium mismatches, resolves defects, conducts quality control, and supports rating program rollouts. Uses Python, SAS, Excel, and related technologies for pricing analysis and tool development. Collaborates with cross-functional partners, presents results, and supports knowledge sharing and process improvement.

Supports the third-party risk management lifecycle by applying risk methodologies, assessing standard vendor relationships, reviewing documentation, coordinating stakeholder and subject matter expert reviews, tracking remediation, maintaining assessment records, and preparing status reports. The role performs data-quality checks, communicates with third parties regarding lower-risk gaps, escalates complex or high-risk issues, and contributes to TPRM process improvements and audit readiness.

Lead complex incident response investigations involving active adversaries and serious intrusions. Reconstruct attacker activity across endpoint, identity, cloud, and network telemetry; develop timelines, root-cause narratives, and remediation guidance; communicate findings to technical and executive stakeholders; and support partner engagements. Create detections, playbooks, automations, technical notes, and threat intelligence while collaborating with Product, Engineering, and account-facing teams. Mentor responders and improve the scalability of Tactical Response operations.

Prepare SEC filings, financial statements, footnotes, MD&A, disclosures, workpapers, and XBRL tagging. Support SOX compliance, external audits, share-based compensation entries, reconciliations, technical accounting research, and disclosure benchmarking. Collaborate with Legal, Investor Relations, Finance, Accounting, and auditors while improving financial reporting processes and using AI to enhance reporting workflows.

Design, refine, and manage driver-based financial and forecasting models focused on promotional spend and breakage. Analyze large datasets, build SQL extracts and PowerBI dashboards, synthesize findings into business drivers, recommend changes, coordinate reporting and presentations, and partner with Finance, Product, Marketing, and Accounting stakeholders.

Implement and monitor pricing strategies across consumer lending: translate strategy into technical specs, maintain audit trails, collaborate with engineering, validate data pipelines, build automated controls and Tableau dashboards, support risk management, and coordinate execution with internal and external partners.

An 11-week Analyst Development Internship focused on gathering and analyzing qualitative and quantitative data, identifying performance trends, solving business problems, and recommending solutions that inform decisions in the insurance industry. Interns receive analytical and technical training, work independently and collaboratively, and use tools such as Excel, SQL, Python, R, SAS, Snowflake, and Power BI.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insights within the insurance industry. Complete curated training, mentorship, and rotational assignments while developing analytical, technical, strategic, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies.

Analyze qualitative and quantitative data to identify performance trends, solve business problems, and recommend solutions that inform decisions in the insurance industry. Interns will work independently and collaboratively, develop analytical and technical skills through training, and use tools such as Excel, SQL, Python, R, SAS, Snowflake, and Power BI. This is an 11-week, full-time summer internship.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Lead the design and execution of global total rewards programs, including compensation bands, benefits strategy, equity and incentive plans, job leveling, pay equity, and annual compensation cycles. Advise executives, HR business partners, and talent acquisition using market data, financial modeling, and internal equity analysis. Optimize total rewards systems and programs across a growing global organization.

Support sales territory planning, quota alignment, compensation processes, revenue operations, CRM data integrity, reporting, audits, and process improvements. Analyze market and account data to design equitable territories, reconcile discrepancies, improve workflows, support system implementations, troubleshoot issues, and develop training and documentation. Partner with sales leadership and cross-functional teams to optimize territory structure and revenue operations capabilities.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Own monthly and quarterly sales commission and quota calculations, resolve compensation inquiries, manage plan governance, and support timely payouts. Build models for compensation design, quota setting, capacity planning, and productivity analysis. Translate GTM data into dashboards and actionable insights, improve compensation systems and processes, and explore AI automation. Partner with Sales, Finance, Payroll, People, Data, and leadership on planning and operational initiatives.

Senior Product Data Analyst embedded in the Omni product team, responsible for analyzing the hotel booking funnel, partner performance, pricing, API health, and revenue outcomes. The role designs and evaluates experiments, identifies behavioral and conversion insights, builds reusable analytics, validates instrumentation, and advises product managers and leadership on roadmap decisions. Advanced SQL, Snowflake, experimentation, statistical analysis, and collaborative notebook experience are required.

Lead internal security incident response as the primary SOC escalation point. Responsibilities include incident triage and validation, tabletop and purple-team exercises, telemetry optimization, threat coverage improvements, post-incident reviews, remediation tracking, stakeholder reporting, and maintaining response playbooks and standards. The role partners with engineering, product security, detection engineering, and offensive security teams to improve organizational resilience.