Top Data & Analytics Jobs
The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.
The Data Senior Principal Consultant guides clients through the implementation and operational phases of Workday, leveraging expertise in design, configuration, and data management. Responsibilities include mentoring other consultants, managing project workstreams, and ensuring successful data conversion processes.
The Revenue Analyst will review Statements of Work, manage professional services billings, support services teams, assist with month-end close processes, and improve operational processes for the global revenue team, ensuring accuracy and compliance.
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As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.
The Sr. Database Administrator is responsible for managing and optimizing production, QA, and development database environments, resolving database-related issues, ensuring data replication, and providing strategic solutions to improve database performance. This role requires strong skills in troubleshooting, capacity planning, and collaboration with engineering teams.
As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.
The BI Analyst will leverage data to enhance operational efficiency and inform product development, focusing on maintaining Tableau dashboards, optimizing data models, troubleshooting data discrepancies, and communicating insights to stakeholders for strategic decision-making.
As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
The Data Scientist will develop analytical products and improve predictive algorithms, focusing on machine learning applications and workflows. Responsibilities include leading a data science team, collaborating on projects, and mentoring in a small data context.
The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
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