Top Senior Level Analytics Jobs in Dallas, TX
As Data Science Team Lead at Relocity, you will oversee the development of AI-powered solutions for a global mobility platform, leading a team of Data Scientists while collaborating with Data Engineers to design and implement machine learning models and optimize data pipelines. You'll communicate insights to stakeholders and drive innovation to enhance user experience.
As a CX Operations Data Analyst III, you will utilize data to answer business questions, partner with various departments for optimization, conduct analyses to enhance customer journeys, and collaborate with Data Engineering to integrate data channels. Your role will focus on driving data-driven decisions and improving the customer experience.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
The IT Analyst - SAP Logistics will develop and support SAP Logistics solutions, manage incidents, and collaborate with stakeholders to ensure compliance and timely delivery. Responsibilities include configuring SAP modules and resolving issues in a post go-live environment.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Senior Data Analyst at Array will leverage foundational expertise in data analysis to work closely with product and engineering teams, addressing complex business challenges, enhancing conversion rates, and improving user experience through data-driven insights.
The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.
The Data Analyst will drive the success of digital marketing campaigns through data-driven strategies. Responsibilities include analyzing diverse datasets, communicating insights effectively, and collaborating with various team members to optimize marketing performance and support strategic decision-making.
The Data Strategy & Operations Manager will develop the data operations program, implement data quality strategies, manage data flow and accuracy in CRM systems, and analyze data for executive leadership. This role requires collaboration with various teams to enhance data processes and ensure high data integrity.
As an Analyst at TechOp Solutions, you will leverage your analytical skills to develop Mission Assurance deliverables, conduct stakeholder interviews, and integrate data to support strategic initiatives. Your role includes analyzing policies, facilitating documentation reviews, and creating presentations to update leadership on project milestones.
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