Top Mid Level Data & Analytics Jobs in New York City, NY

The Data Analyst will collect, analyze, and interpret large datasets to identify trends and insights. Responsibilities include developing reports in Excel and Google Sheets, performing data extraction using SQL, ensuring data accuracy, and presenting findings to stakeholders. The role also involves collaborating with teams, utilizing Snowflake for data management, and supporting various analysis projects.

As a Data Scientist, you will analyze consumer behavior and campaign performance, drive product strategy by identifying key metrics, enhance data collection methods, process and verify data integrity, support machine learning efforts, and create data visualizations and reports.

As a Data Engineer at Dashlane, you will design and optimize data pipelines and warehouses, ensuring data integrity and quality. You will work collaboratively with analysts and engineering teams to manage and transform large datasets, leveraging cutting-edge tools to enhance decision-making across the organization.

The Risk Operations Analyst will enhance Rho's risk management framework by maintaining policies, leading audits, coordinating due diligence, and fostering a culture of compliance. This requires collaboration with internal teams to integrate risk considerations in operations, providing insights for decision-making, and escalating risks to senior leadership.

This role involves developing machine learning tools for patient data, performing analysis on longitudinal patient data, and integrating clinical insights using R and Python. The candidate will collaborate with various stakeholders and contribute to innovative machine learning approaches for clinical insights.

The Intermediate Data Engineer will enhance and build systems for data clean rooms related to digital video and linear TV viewership, collaborate with engineering and data science teams to create data models, and work with internal teams on requirement definitions, all using agile methodologies.