Top Data & Analytics Jobs

Supports data integration development and validation by analyzing ETL processes, verifying data integrity, testing integrations, diagnosing defects, and aligning business requirements with technical solutions. Collaborates with integration developers using Agile methods, follows data security standards for personally identifiable information, and participates in requirements reviews and project planning.

Collects, organizes, validates, analyzes, and presents departmental data to support administrators and inform recommendations. Responsibilities include preparing reports, identifying trends, resolving data discrepancies, coordinating meetings, handling special projects, training staff, and providing administrative and operational support for building functions, purchasing, scheduling, and daily department activities.

Lead enterprise Power BI and Microsoft Fabric analytics initiatives from strategy through implementation. Responsibilities include designing semantic models, DAX, SQL queries, dashboards, row-level security, dataflows, pipelines, Lakehouse and Data Warehouse solutions, Spark notebooks, deployment pipelines, workspace governance, and data governance. The role partners with senior stakeholders, standardizes KPIs, enables self-service analytics, and supports analytics modernization in regulated industries.

Leads global master data quality and governance, manages onshore and offshore teams, and develops data quality standards, playbooks, dashboards, validation rules, and automated monitoring. Collaborates with business, IT, finance, sales, operations, and customer service stakeholders to resolve root causes, improve data integrity, support reporting, and maintain master data across enterprise systems. Serves as the organization’s data quality subject matter expert.

Designs, builds, and optimizes cloud data solutions using Microsoft Fabric and Azure. Develops data pipelines, Lakehouse architectures, ELT/ETL processes, data models, semantic models, and Power BI reporting. Partners with stakeholders to define requirements and technical designs, supports platform migrations, and implements data quality, governance, security, and monitoring practices. The role also contributes to AI and machine learning data initiatives and requires strong SQL, Python, PySpark, and modern cloud data engineering expertise.

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.