Top Senior Level Data & Analytics Jobs in Dallas, TX
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.
The Senior Data Engineer will collaborate with Agile teams to design and implement automated data lake solutions, centralize data from various sources, and manage data pipeline orchestration. The role involves working with Scala, Spark, SQL, and NoSQL to support company-wide analytics initiatives.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
The Senior Analyst will support PACE organizations with feasibility assessments, policy analysis, operational planning and improvements, while leading client projects and delivering strategic recommendations. The role involves conducting research and effectively communicating insights to clients, particularly focused on Medicare and Medicaid populations.
The Sr. Compensation Analyst at GeneDx is responsible for designing and implementing compensation programs that align with organizational goals. Key duties include strategic development of compensation structures, collaborating with various departments for compensation guidance, conducting job evaluations, leading annual compensation reviews, and providing data-driven insights for program enhancements.
The Senior Data Analyst at Esusu will focus on data products and analytics, transforming data into insights. Responsibilities include collaborating with managers, mentoring peers, building data pipelines, and creating visualization models using technologies like Python and Tableau.
The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.
The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.
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