Top Data Analyst Jobs in Seattle, WA

Analyze raw usage, identity, license, and cost data from cloud, SaaS, and observability sources. Profile and map data to canonical schemas, design transformation and cost-allocation logic, assess application attribution, derive business taxonomies, and reconcile observed usage with vendor invoices. Contribute to FOCUS alignment, attribution precedence, shared-endpoint allocation, coverage reporting, and data quality specifications for engineering implementation.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Analyzes the RFQ-to-award pipeline, consolidates and validates business data, and develops dashboards, scorecards, forecasts, and executive reports. Evaluates win rates, proposal activity, pipeline health, revenue opportunities, and performance trends. Partners with program management, sales, engineering, estimating, and business development teams to improve data quality, standardize KPIs, automate reporting, identify process bottlenecks, and support strategic decisions.

Performs data quality assurance for large datasets by validating imports, updates, transformations, and extracts. Writes SQL test queries, reviews database logic, executes test cases, identifies defects, verifies corrections, and documents testing results. Collaborates with data engineers, business analysts, project managers, and QA professionals to ensure data integrity and compliance with requirements.

Build risk data models, analyze fraud and risk trends, create Tableau dashboards and automated reports, and deliver actionable insights to Risk Operations leaders. The role manages analytics requirements and roadmaps while using SQL, dbt, Dataform, and AI tools to support fraud strategy, compliance monitoring, loss forecasting, and executive reporting.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

Perform marketing measurement and analysis to evaluate marketing investments, build scalable Tableau reports, collaborate on code and analyses, and communicate data-driven insights to influence marketing strategy.

Analyzes KPIs, product performance, marketing campaigns, and digital customer behavior. Creates Adobe-based visualizations and workflows, defines metrics aligned with enterprise goals, gathers requirements, develops acceptance criteria, and supports testing and validation. Acts as a liaison among product managers, data engineers, and visualization teams while interpreting analytics for executive reviews. The role requires stakeholder facilitation, strong communication, Adobe Analytics expertise, and on-site work in Seattle.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Collects and analyzes performance data, identifies trends, evaluates program effectiveness, and develops reports and visualizations for stakeholders. The role standardizes datasets, improves data collection and analytical methods, and supports data-driven decisions. It requires statistical analysis, data manipulation, visualization, and familiarity with machine learning and predictive analytics. The position is contingent on contract award and requires the ability to obtain and maintain an active Secret Clearance.

Analyzes complex sustainability datasets, validates calculations and metrics through QA and UAT, maintains assessment files and customer data exports, investigates data issues using SQL, and collaborates with product, engineering, and customer-facing teams. The role also supports automation, documentation, sustainability research, and reliable environmental impact reporting.

Own and maintain the data catalog, vendor and licensing records, dataset lineage, field definitions, and calculation documentation. Write SQL to trace, join, reconcile, and validate data; investigate discrepancies; QA derived metrics; prepare data extracts; and troubleshoot issues with engineering, offshore data teams, PMO, and customer service. Use AI tools to accelerate data work and maintain clear documentation for technical and non-technical stakeholders.

Leads stop loss claims data coordination for primary clients, identifies claimants, prepares claim-entry data, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, specific stop loss claims expertise, and a bachelor’s degree in Business or Analytics or comparable experience.

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Processes and validates financial, payroll, ledger, time-tracking, expense, project, and operational data. Converts information into accurate workbooks, templates, reports, and organized deliverables while maintaining employee, project, and expense records. Researches relevant company and industry information, organizes audit documentation, supports interview qualification summaries, and manages multiple data requests and deadlines in a remote environment.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Serve as the analytics subject matter expert for VA Community Care Program Integrity. Develop complex SQL queries, validate enterprise healthcare data, manage data quality, build KPI dashboards, support pilot data environments, and deliver operational reports and documentation. Collaborate with program, clinical, technical, and evaluation teams to translate complex VA datasets into actionable insights while meeting federal data governance, privacy, and system-access requirements.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Analyze large-scale electronic health record and real-world data using SQL, R, and Python. Scope requests, produce research studies and results, write Databricks SQL regex queries, support customers, investigate data sources, collaborate on peer-reviewed publications, and create enablement materials for researchers.

Lead AI and automation performance reporting, develop KPIs and analytical frameworks, integrate data sources, evaluate analytical models, and deliver accurate, actionable insights. Partner with business and engineering stakeholders to improve monetization strategy, operational efficiency, and go-to-market decisions. Build Power BI dashboards, Microsoft Fabric semantic models, and cloud ETL/ELT solutions while ensuring privacy and data governance requirements are met.

Loads and validates hospital chargemaster and healthcare data into SQL databases using Excel templates and proprietary tools. Maintains databases, retrieves CMS data, prepares spreadsheets and reports, tracks client tasks, and supports financial analytics. Collaborates closely with clients and internal teams to ensure accurate, timely deliverables and provides client support. Requires knowledge of chargemaster elements, healthcare financial and patient accounting data, EHR systems, SQL, and advanced Excel proficiency.

Drive strategic planning and data analytics for Customer Success by analyzing complex datasets, developing predictive models, building Tableau dashboards, and enabling self-service reporting. Translate business requirements into scalable data solutions, synthesize insights for executive decisions, and collaborate with engineering, product, analytics, and program management teams. Coach team members on Tableau and analytics best practices while leading cross-functional initiatives and improving analytics quality.

Transforms enterprise IT operations, monitoring, KPI, and performance data into executive dashboards, heatmaps, trend analyses, forecasts, anomaly detection, and narrative insights. Integrates data from monitoring, ticketing, incident, and operational systems; develops standardized reporting templates; documents analytical workflows; and collaborates with engineering, service desk, cybersecurity, and PMO teams to support federal reporting and leadership decisions.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.