Top Data & Analytics Jobs in New York City, NY

As the Operations & Analytics Manager at Aptos Foundation, you will develop and execute operational strategies, manage resources, enhance execution efficiency, conduct data analytics to drive decision-making, and implement risk management strategies. You will collaborate with various departments, ensuring a smooth operational flow in support of the foundation's growth and mission.

As a Senior Data Scientist in Computational Biology, you will integrate ‘omics data into a data platform, ensure data quality through bioinformatics pipelines, perform biological analyses, and contribute to the identification of novel drug targets. You will collaborate across teams, communicate science effectively, and present findings based on complex biological data.

The Investor Reporting Analyst assists in daily and monthly reporting to investors, performs reconciliations, remits funds, and collaborates with cross-functional stakeholders to improve processes. The role requires attention to detail and a focus on enhancing reporting systems.

The Senior Business Intelligence Analyst at Octave will collaborate with cross-functional teams to identify business problems, create and maintain operational dashboards in Tableau, and develop data-driven solutions. This role will train stakeholders on dashboards and perform complex data analysis to drive insights and growth.

The Senior Manager, Rebate Analytics will manage the rebate program for Rightway’s PBM clients, ensuring compliance with reporting requirements and developing forecasting models. Responsibilities include analyzing rebate data, optimizing client opportunities, collaborating with teams for effective communication, and providing performance reports to senior management.

The Lead Data Scientist will collaborate with engineering, product, and analytics teams to optimize and scale Stellar's incentive strategies for healthcare providers, ensuring data integrity and analysis for impactful decision-making. This role requires hands-on data engineering skills and the ability to drive significant improvements in healthcare outcomes.

The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.