Top Hybrid Data & Analytics Jobs in New York City, NY
The Security Analyst will enhance the organization's cybersecurity posture by monitoring security incidents, conducting assessments, implementing security measures, and collaborating with teams to address security issues. They will also participate in incident response and help develop security policies and training programs.
As a CRA Risk Analyst in the Customer Oversight team, you'll conduct compliance reviews and risk analyses, develop internal policies, and support regulatory requirements for Plaid's Consumer Reporting Agency. You'll collaborate with various teams to ensure operational effectiveness and trust in the platform while helping to support Plaid’s international expansion.
As a Senior Data Analyst, you will provide insights to product and business teams, drive analytics projects for customer engagement, and collaborate across functions. You will establish best practices in analytics, mentor team members, and help influence major decisions with data.
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As a Data Engineer, you will design and manage data architecture, optimize data pipelines, and ensure data quality while collaborating with product and data teams to meet internal and external data needs.
The Data Analyst will support the management, collection, analysis, and reporting of data for Girls Who Code. Responsibilities include ensuring data quality, creating dashboards in Tableau, and collaborating with the Technology team to manage data consistency and cleanliness.
The Strategy and Operations Analyst will work cross-functionally to support strategic initiatives, coordinate communication between teams and stakeholders, develop policies and processes for customer service, assist with strategic planning under the CEO and COO, and generate reports on operational data using tools like Excel and Tableau.
The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
As an Accreditations Analyst at Parallel Markets, you will review accredited investor applications, verify documentation, and communicate with clients to ensure a smooth onboarding process. You'll handle customer inquiries, assist in regulatory compliance reviews, and adapt to various operational roles in a dynamic start-up environment.
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