Top Data & Analytics Jobs in New York City, NY
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The Senior Credit Analyst will develop pricing models for sustainable growth, create customer risk profiles, perform credit risk analysis, and collaborate with cross-functional teams to guide lending strategies and insights. They will also track key performance indicators and support model development with the Data Science team.
As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.
As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.
As a Staff Data Scientist at Bitsight, you will develop and implement statistical methodologies for analyzing cyber risk and loss, collaborating with various teams. Responsibilities include enhancing data pipelines, creating automated testing frameworks, managing codebases, and producing technical content, while focusing on operationalizing statistical models.
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As a Product Growth Analyst, you will analyze user acquisition and onboarding flows, collaborate on defining KPIs, create reports and dashboards, contribute to data efforts, conduct A/B testing, and work closely with stakeholders to optimize product growth.
The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, managing product roadmaps and driving engineering practices while collaborating with various stakeholders to enhance their online platform. Responsibilities include providing technical guidance, mentoring team members, and shaping the technical roadmap.
As a Senior Azure Data Consultant, you will partner with clients to transition from concept to production by developing data services on Microsoft Azure, designing enterprise data models, and leading discussions on data architecture. You will also assure data quality, optimize performance, and establish DataOps standards while leveraging modern software engineering practices.
The Privacy and Data Protection Counsel will advise on global privacy and data protection legal matters, assist in scaling the privacy program, manage privacy operations and large-scale projects, and ensure compliance with laws such as HIPAA and GDPR. Responsibilities include conducting privacy reviews, monitoring legal updates, and negotiating privacy terms in agreements.
In this role, you will design and implement data pipelines, manage data integration on cloud platforms, ensure data accuracy, and maintain compliance with healthcare regulations. You will lead collaborations with clients and teams, optimize data processes, and mentor junior engineers while staying informed on industry trends.
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
The Technical Risk and Payments Fraud Analyst will analyze suspicious transactions to detect and prevent fraud, conduct investigations, and collaborate with cross-functional teams to enhance fraud detection strategies. The role requires expertise in SQL-based data analysis, risk assessments, and effective communication with various departments.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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