Top Senior Level Data & Analytics Jobs
Develop and maintain Google Cloud Platform (GCP) Data & Analytics backend solutions, optimize applications for performance and cost-efficiency, ensure security and compliance standards, provide technical guidance, and participate in quality assurance.
The Sr Analyst, Enterprise Data Architect provides expertise and leadership in the definition, design, implementation, adoption and adherence to enterprise architecture strategies, processes and standards. Responsibilities include designing and delivering strategic data architecture direction, ensuring data organization, accessibility, security, and alignment with business objectives, and collaborating with other Enterprise Architects for end-to-end architecture delivery.
As a Risk Data Analytics, Senior Manager, you will play a pivotal role in developing analytics tools and solutions to drive data-driven decision making. Collaborate with senior leadership to identify opportunities, develop cutting-edge analytical solutions, and deliver actionable insights. Design and implement advanced statistical and machine learning solutions for risk oversight. Serve as a technical subject matter expert and mentor data analysts in best practices.
As a Risk Data Analytics, Senior Manager, you will play a key role in developing analytics tools and solutions to drive data-driven decision making in the financial services industry. Responsibilities include designing statistical and machine learning solutions, conducting quantitative analyses, and mentoring data analysts. Ideal candidates will have a Bachelor's degree in a quantitative field, 8+ years of experience in financial services, and expertise in data analytics methodologies and core technologies.
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Director-Tech Lead role at McDonald's overseeing Campaign and Data Activation team. Responsibilities include leading team to enable marketing campaigns across digital products and platforms, integrating tools, managing customer data, and collaborating with cross-functional teams.
This Business Analyst position involves analysis, design, and consulting support in the Energy/Utilities industry. Responsibilities include gathering and documenting business requirements, developing process maps, and proposing enhancements to optimize system effectiveness. The successful candidate should have 5+ years of experience as a Business Analyst, expertise in implementing and extending OpenLink Endur, and project management skills.
This role involves supporting the global sales team, creating real-time dashboards, monitoring performance efficiency, and preparing management reporting. The ideal candidate should have strong analytical skills, communication abilities, an owner mentality, and experience in Finance, Sales Operations, Strategy, or Analytics in a B2B company or strategy consulting environment. 7+ years of experience is required.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.
Lead a team of engineers in creating and deploying machine learning models and algorithms. Manage the machine learning lifecycle, research and implement new techniques, mentor team members, and communicate with stakeholders. Requires a Master's or PhD in a quantitative subject, 5+ years of software engineering team management experience, and experience with scaling machine learning models in business applications.
Seeking a Senior Business Intelligence Engineer to provide data-driven insights for decision making, analyze data from multiple sources, collaborate with cross-functional teams, and build dashboards and reports for optimizing advertiser performance and product development.
Senior Business Intelligence Engineer at Snap Inc, responsible for analyzing data from multiple sources to provide insights and recommendations for business decisions. Collaborate with teams to build measurement strategies, create dashboards, and influence client success through data-driven analysis.
Snap Inc is looking for a Senior Business Intelligence Engineer to analyze data from multiple sources, provide insights for decision-making, and optimize advertiser performance and product development. The role involves collaborating with cross-functional teams, building dashboards, and influencing client success through data-driven recommendations.
Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.
Seeking a Director of Video Quality Analytics to provide strategic leadership in ensuring optimal video playback experiences for customers on a global streaming platform. Responsibilities include taking ownership of data analysis processes, defining data analysis strategy, presenting findings to senior leadership, and collaborating with cross-functional teams.
The Digital Forensics Analyst at NBCUniversal's Cyber Defense Operations team is responsible for providing expert-level contributions in digital forensics, insider threat, and cyber investigations. The role involves performing investigations on internal risks, monitoring user activity, analyzing data, and communicating findings to stakeholders.
Design, build, and scale data pipelines across various source systems, collaborate with cross-functional teams to develop data acquisition strategies, and become a subject matter expert in data engineering technologies.
Lead Data Scientist responsible for developing and implementing advanced analytical solutions using machine learning and AI frameworks. Spearhead strategic integration of advanced analytics into solutions to drive innovation and data-driven decision-making. Manage end-to-end data science projects, collaborate with stakeholders, and stay updated with latest data science technologies.
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