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

The Media Data Analyst will enhance Media datasets, oversee data extraction and transformation, and collaborate with clients and teams to improve product features.

As an Applied Scientist, you will analyze customer data to optimize feature use and improve financial operations, engage with cross-functional teams, and build analytical models for benchmarking and insights.

The Data Architect will design and evolve the architecture for the Consumer Canvas platform, ensuring data scalability, security, and privacy. Responsibilities include managing data ingestion, PII governance, and collaborating with cross-functional teams to develop and implement innovative data solutions.

Lead scalable data engineering efforts, optimizing ETL processes and ensuring accurate data for analytics and business intelligence. Mentor peers and enhance data quality.

The Marketing Science Analyst will analyze consumer data, maintain statistical models, and collaborate with teams to derive insights for business decisions.

The role involves operational reporting, financial modeling, process improvement, and cross-functional collaboration to enhance customer experience operations.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

The Analytics Lead will manage custom analytical requests, enhance measurement capabilities, design and evaluate experiments, and collaborate with cross-functional teams to deliver client-focused solutions based on Nexxen's data.

Design and build data pipelines using AWS services and Python. Collaborate with data teams to ensure data quality and optimize performance.

Lead the transformation of data analytics and insights into compelling narratives that drive strategic sales and industry influence. Manage analytics strategy, develop industry perspectives, and produce executive-ready content while collaborating with cross-functional teams.

As a Data Engineering Analyst Lead/Scientist, you will engineer consumer attributes, apply statistical techniques, build visualizations, and collaborate across teams to maximize impact in financial services.

The role involves leading a team to transform data and analytics into narratives that support sales strategies, create industry reports, and validate insights, while collaborating across functions and presenting externally.