Top Remote Senior Level Data & Analytics Jobs in Dallas, TX

The Senior Systems Analyst will optimize Vital Farms' Record to Report functions by planning, designing, implementing, and supporting related systems. Responsibilities include defining requirements, application configuration, user training, and enhancing business processes in collaboration with stakeholders.

The Senior Application Scientist configures and supports the implementation of Dotmatics solutions in complex laboratory and research environments. Responsibilities include data integration, monitoring data flow, conducting technical reviews, providing customer training, and collaborating with cross-functional teams to meet customer needs.

The Senior Manager, Revenue Analytics will lead operational analytics, forecasting, and reporting for the Customer Success team. This role involves building actionable analytics, conducting analyses to identify opportunities for business growth, and collaborating with various teams to align strategies with business goals.

The Compensation & People Insights Analyst at Niche will analyze HR data to drive strategic decisions in employee compensation and performance. Responsibilities include maintaining data integrity, developing dashboards, conducting compensation analysis, and ensuring compliance with regulations. The role requires collaboration with stakeholders to enhance employee experience through actionable insights from metrics.

As a Senior Project Manager at CoEnterprise, you'll lead customer-facing projects, ensuring they are delivered on-time and within budget, managing communication with clients, stakeholders, and team members, while balancing project resources and addressing changes and risks.

The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.

Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.