Top Data & Analytics Jobs

Build internal applications, dashboards, reports, data pipelines, automations, integrations, and data models for procurement teams. Work directly with users to define problems, shape solutions, and improve products based on feedback. Use AI coding agents, product judgment, and technical review to deliver production-ready software. Support deployment, investigate business questions, communicate insights, and help improve AI-assisted development workflows.

Build and maintain data models, pipelines, metrics, dashboards, and analytics supporting identity graph construction, entity matching, and identity resolution. Partner with engineering and data science teams to productionize matching logic, evaluate match quality, monitor data quality and drift, and manage identity-provider relationships. Translate complex identity concepts into actionable insights for technical and non-technical stakeholders while helping define privacy-conscious product and data priorities.

Leads Sunrise Senior Living’s enterprise Experience Management program, overseeing Qualtrics or comparable Voice of Customer platforms, survey administration, dashboards, reporting, and budget management. Translates employee and customer feedback into actionable insights, executive recommendations, journey improvements, and operating standards. Partners with HR, Operations, Marketing, Communications, and senior leaders while managing and developing internal teams and external resources.

Design and lead scalable, secure, highly available database infrastructure for multi-terabyte SQL Server environments. Set technical direction for data architecture, performance, real-time pipelines, security, and growth. Troubleshoot complex production issues, optimize queries and indexes, guide cross-functional projects, mentor engineers, review changes, reduce technical debt, and evaluate emerging technologies. Monitor database health using Splunk, Datadog, and Grafana while influencing engineering and Site Reliability strategy.

Supports SOCOM data initiatives by gathering requirements, developing methodologies, generating software requirements, testing tools, and discovering, aggregating, manipulating, and visualizing disparate data sources. Works with customers and stakeholders to identify analytical solutions, expose datasets, support data fusion, and use data science techniques to detect trends and patterns. Requires communication skills and experience supporting the Special Operations community.

Analyze product quality data across creation, materials, manufacturing, testing, consumer feedback, and marketplace performance. Develop dashboards, scorecards, KPIs, and reports; govern data definitions and quality; identify trends, risks, and improvement opportunities; support investigations and continuous improvement; and translate complex findings into actionable recommendations. Collaborate with Product Integrity, engineering, manufacturing, supply chain, technology, analytics, and other cross-functional teams.

Build and support knowledge graph and data engineering solutions for classified defense and intelligence customers. Work with graph theory, data modeling, graph databases, and query languages to structure complex relationships. Collaborate with software development teams, communicate with analysts and senior stakeholders, and potentially develop training materials. The role requires working onsite in a SCIF and maintaining an active TS/SCI clearance while obtaining a CI polygraph.

Supports customer experience leadership through reporting, dashboard development, data analysis, forecasting, and data-driven recommendations. Consolidates data from multiple sources, automates reporting through Power BI, fulfills regulatory and management reporting requirements, and supports workforce planning. Also administers contact center IVR schedules, phone-system configurations, queues, skills, and agent profiles while coordinating with IT and other departments.

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.

Designs and maintains scalable data architectures, batch and real-time ETL/ELT pipelines, data models, storage systems, and governance controls. Optimizes data platforms for performance, reliability, scalability, and cost. Collaborates with architects, analysts, BI specialists, data scientists, and business stakeholders to deliver trusted datasets and technical solutions. The role also evaluates data technologies and supports cloud-based infrastructure, CI/CD, and machine learning data requirements.