Top Data & Analytics Jobs
The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.
As an AI Strategist, you will help clients navigate AI/ML integration challenges, conduct quantitative analysis, assess organizational capabilities, and provide actionable recommendations to advance their AI strategies, while working collaboratively with engineering teams.
The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.
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The Data Management Analyst will help maintain a high-quality investment data environment, collaborate with teams to translate requirements into technical solutions, document business processes, run quality checks on data, and facilitate resolution of unexpected data results while promoting a positive work environment.
The Educational Data Analyst/Engineer will engage with school district administrators to understand their data needs, design and develop customized metrics and dashboards, manage data integrations using SQL and Python, and ensure data quality and reporting effectiveness.
The Senior Revenue Analyst will manage global revenue streams, overseeing the month-end revenue close, ensuring compliance with US GAAP and ASC 606. Responsibilities include reviewing contracts, preparing journal entries, conducting revenue reconciliations, and collaborating with various teams to improve accounting processes and revenue recognition accuracy.
The Senior Data Engineer at CodaMetrix focuses on maintaining and optimizing the data platform and analytics architecture. Responsibilities include creating and managing data pipelines, collaborating with multiple teams for data infrastructure needs, and enhancing data accessibility and performance to support analytical initiatives and AI-driven products.
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
The Revenue Operations Analyst will manage sales and marketing systems, provide support to sales teams, and focus on forecasting and reporting within the company. Responsibilities include managing the GTM tech stack, identifying operational improvements, ensuring smooth communication across teams, and translating business requirements into technical solutions.
The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.
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