Top Data & Analytics Jobs
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.
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.
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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.
Cypress Financial seeks a Data Scientist to analyze data for decision-making within lead acquisition and marketing functions. The role involves developing scoring models, reporting, and advanced analytics to improve product strategies and marketing efficiency. Strong skills in Power BI, SQL, and Azure ML are required.
The Marketing BI Analyst provides actionable business intelligence for Marketing Operations, implementing Marketo Measure, conducting analytical studies, and creating strategic reports and dashboards based on marketing data analysis.
The Sr. Principal Data Scientist at Northrop Grumman is responsible for creating data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large datasets. This role requires strong statistical skills, familiarity with data science toolkits, and deep learning frameworks to provide insights for business challenges.
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Senior Data Engineer will lead the design and development of high-performance data architectures for batch and streaming processing, manage ETL/ELT processes, optimize database systems, drive continuous improvement in data workflows, and collaborate with teams to support data-driven decision-making.
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