Top Data & Analytics Jobs in New York City, NY
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing both structured and unstructured data. You will work closely with Product Management and Software Engineers in an agile environment, taking ownership of your projects to drive their direction and execution.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to analyze business risks, utilizing structured and unstructured data from multiple sources. You'll have ownership over projects and will work collaboratively with Product Management and Software Engineers in a sprint-based environment.
The Senior Machine Learning Engineer at Kalepa will lead the development and deployment of machine learning models to assess business risk using structured and unstructured data. Responsibilities include project ownership, collaboration with product managers and software engineers, and working within a two-week sprint cycle.
As an Analyst in the Structured Investments team, you will manage relationships, generate performance metrics, and develop presentations for clients. You will work with senior members to anticipate needs and provide timely data while participating in sales calls for further learning.
The role involves supporting licensed sales professionals by conducting appointments, analyzing sales trends, making outbound calls, learning iCapital products, and assisting with necessary licensing. It requires strong communication skills and organization, with a focus on financial market knowledge.
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The Senior Data Engineer at Overjet will design and implement data solutions, manage data ingestion, optimize data pipelines, promote seamless data flow, enhance data transformation processes, and establish a strong data quality framework while leading data literacy initiatives.
As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with teams to design solutions, analyze complex data sets using Python and SQL, and provide insights to support business objectives. You will also engage with external customers to enhance their understanding and use of Overjet's data.
As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and app feature attribution products, collaborating with various teams, including founders and marketing leadership. You'll utilize your expertise in software engineering and data practices, working with technologies related to cloud services, data manipulation, and consumer marketing.
The role involves architecting and scaling personalization systems for a global streaming app, collaborating with multiple teams to develop ML projects, mentoring engineers, and fostering innovation within the organization.
As the Manager of Analytics, you will lead efforts to synthesize various data sources, enhance veterinary outreach experiences, and collaborate with cross-functional teams to develop effective experiment design and insight generation processes.
The Senior Architect will guide clients in developing Big Data strategies, focusing on DataBricks, while designing data flows and processing pipelines using modern tools. Responsibilities include platform selection, data management expertise, coaching consultants, ensuring data integrity, and coordinating with application owners to integrate analytics platforms.
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The Privacy Analyst role at Grammarly involves managing vendor privacy reviews, conducting data protection impact assessments, drafting educational resources, and training teams on privacy practices. The analyst collaborates with cross-functional teams to ensure compliance with privacy regulations and contributes to privacy audits and controls management.
The Lead Data Engineer at Kargo will architect, design, and optimize data structures for audience and contextual targeting solutions. Responsibilities include overseeing a team of data engineers, collaborating with stakeholders, building scalable data pipelines, and documenting systems.
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