Top Cloud Data & Analytics Jobs in New York City, NY

The role involves driving technical enablement and community growth through designing demos, training sessions, and collaborations in capital markets. Key responsibilities include aligning messaging with product management and marketing, and enhancing community engagement.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

The Sales Strategy Analyst role involves maintaining data infrastructure, conducting business analyses, and leveraging SQL, Tableau, and Snowflake to derive insights.

The Staff Data Engineer will lead the architectural design and implementation of a compliant data platform, collaborating with multiple teams to ensure scalability, reliability, and security.

The Senior GTM Data Analyst partners with leadership to deliver analytical insights, build dashboards, improve data models, and enhance data-driven strategies for cloud security business operations.

The Director will lead InMobi's strategy for data, identity, and audience ecosystems, overseeing partnerships and ensuring compliance while driving business outcomes.

The Data Engineer/Scientist extracts insights from complex data sets, optimizes algorithms, ensures data quality, develops BI solutions, and mentors junior team members.

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

The Data Engineer Consultant will design and implement scalable data solutions, advise clients on optimizing data environments, and develop ETL pipelines and data models to support business objectives.