Top Remote Senior Level Data & Analytics Jobs in NYC, NY
The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
As a Principal Data Analyst at Flex, you will identify trends and insights from various data sources to influence business strategy. Responsibilities include creating dashboards, collaborating with different teams, and ensuring data quality while supporting key analytics projects across the company.
The Financial Systems and Data Analytics Lead will design and implement systems for financial data analytics while collaborating with various teams to automate accounting processes, enhance reporting, and support company growth in preparation for an IPO.
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The Operations & Analytics Manager will drive operational efficiency by developing strategic plans, managing resources, conducting data analytics, and implementing risk management strategies. This role requires cross-functional collaboration with various teams, ensuring alignment in initiatives that support ecosystem growth and operational support.
The Data Analyst will support the Head of Intelligence in product strategy and growth, analyzing audience insights and trends to develop actionable messaging strategies. They will collaborate with internal teams and communicate findings through polished presentations, focusing on data visualization and storytelling.
Lead and mentor a team of data engineers, develop scalable data platforms, and maintain ETL pipelines using Python. Optimize SQL queries and use AWS services for data processing, implement containerization with Docker, and ensure compliance with security requirements while collaborating with cross-functional teams.
The Senior Data Analyst will collaborate with business teams to develop data products and analyze data related to Go-to-Market teams. Responsibilities include owning KPI reporting, troubleshooting data quality issues, creating insightful reports and visualizations, and providing strategic recommendations based on advanced analyses.
Harness the power of data to deliver strategic insights and actionable recommendations that drive the business forward. Partner with stakeholders to gather and analyze data, create reports and visualizations, troubleshoot issues, and evaluate business processes for improvement.
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