Top Senior Level Analytics Jobs in Dallas, TX

The Workday Lead Analyst will design, develop, and maintain Workday integrations and reports, support HR and Finance functions, and ensure the smooth operation of Workday systems. Responsibilities include system maintenance, report development, user training, and participation in project management.

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.

The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.

As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.

The Senior Project Controls Analyst will track project performance, manage document control processes, prepare project performance data for analysis, and ensure compliance with contractual requirements. Duties include mentoring junior team members and identifying improvements for project controls. This role supports project managers in delivering on high-profile transportation projects.

The Senior Data Analyst will analyze the new user experience at Rocket Money, collaborating with product teams to drive engagement, provide insights, and optimize product offerings. Responsibilities include building analytics processes, delivering reports, debugging data-related issues, guiding experimentation, and partnering with teams for data accuracy.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.