Top Data & Analytics Jobs
Lead financial forecasting, budget planning, and reporting on various financial metrics. Collaborate with internal stakeholders and contribute to board and investor communications. Provide financial analysis and support to teams and senior executives. Conduct ad hoc analysis to support business initiatives.
The Business Solutions Analyst will provide operational support for Salesforce applications, manage the Software Development Lifecycle, conduct code releases and testing, utilize Agile methodology for enhancements, and support documentation and reporting processes.
The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.
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The NetSuite Senior Consultant 1 will work on NetSuite projects including implementations, enhancements, and integrations. The role involves defining business requirements, documenting processes, customizing NetSuite, testing functionalities, providing user training, and assisting with project reports.
As a Field Data Collector, you will collect parking data by walking or biking through assigned areas and using a mobile app to document your findings. This includes counting open on-street parking spots and submitting data accurately and on time. Attention to detail is crucial, as is the ability to work flexible hours during specified time slots.
Research and test new optical technologies for wafer inspection implementations, conceive new concepts based on solid physics understanding, validate concepts through modeling and experiments, design and build optical imaging test benches, work with engineering team to implement new technologies.
As a Data Architect Manager, you will provide leadership for data management strategies and oversee projects involving data flows and integration. You will collaborate with stakeholders to develop end-to-end solutions for data sourcing and processing, enhance data reliability, and implement organizational behavior changes related to data management.
The Senior Data Engineer is responsible for analyzing existing data sets, defining data requirements, and performing statistical modeling to improve decision-making processes. Key responsibilities include managing projects, coaching lower-level professionals, developing reports using SQL, and delivering analytic solutions while ensuring data quality and compliance with development standards.
The Lead Database Administrator is responsible for designing, implementing, and managing technology solutions, acting as a liaison with software vendors, and ensuring alignment with business needs. This role involves improving technical products, following best practices, automating processes, and mentoring team members while managing risks and maintaining operational excellence.
As a Staff AI Researcher, you will develop AI solutions to enhance health outcomes for millions, utilizing extensive medical data. Responsibilities include building prototypes with AI techniques, addressing complex data challenges, and optimizing model performance through feature engineering and evaluation metrics.
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