Top Data & Analytics Jobs in NYC, NY

The Data Scientist will develop and implement advanced machine learning models, analyze large datasets for insights, and build cloud-native solutions using GCP. Responsibilities include feature engineering, model deployment, and ensuring data quality while collaborating with stakeholders on innovative data-driven projects.

The role involves performing quantitative research using Python and presenting research ideas to hedge funds and investment firms. Candidates should be problem solvers who enjoy discussing ideas with others.

The Data Analyst will collect, analyze, and interpret large datasets to identify trends and provide insights. Key responsibilities include developing and maintaining reports, performing data extraction and manipulation, collaborating with teams for data-driven recommendations, and ensuring data accuracy. The role also involves using tools like SQL and Snowflake, and presenting findings to stakeholders.

The Senior Data Analyst at SmartAsset will predict revenue and margins, guiding Marketing and Sales decisions through data analysis. This role involves creating key performance reports, detecting trends, and collaborating with business partners for practical solutions.

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.

The Junior IT Analyst will gather and analyze data related to user needs, create and maintain surveys for user experiences, and provide recommendations to improve IT services. The analyst will also engage in conversational analysis and support the User Advocacy Group in understanding IT needs.

As a Quantitative Strategist at Virtu, you will work with interdisciplinary teams to develop predictive models, analyze and improve trading strategies, create risk models, and automate research tasks. Strong quantitative skills and programming proficiency are essential.