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Top Data & Analytics Jobs in New York City, NY
The Data Business Consultant will work on data strategy, analytics reporting, and providing insights to drive transformation for clients. Responsibilities include supporting user training, translating business requirements into analytical solutions, conducting exploratory analysis, and applying statistical techniques for risk analysis using tools like Python and SQL.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
The Implementation Data Scientist at Altana will integrate their platforms with customers, enhance workflows, and provide analytical insights. Responsibilities include building value chains using the Altana Atlas platform, communicating with customer teams, developing prototypes, and overseeing deployments and data integration.
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As a Senior Data Architect / Data Engineer, you will optimize and organize medical data assets to improve patient outcomes. You’ll build scalable data pipelines, monitor data quality, and lead the design of data architecture while collaborating with cross-functional teams to meet business goals.
The Capacity Planner will analyze and drive optimized server and hardware deployments across data centers while managing budgets, advising on capacity states, and performing scenario analyses. Responsibilities include project orchestration, partnering with various teams, developing capacity dashboards, and forecasting demand trends.
As the Sr. Director of Analytics, you will lead analytics initiatives, drive the implementation of frameworks and performance measurement for client media and digital investments, and guide a team of analytics professionals. Your role includes developing strategies, ensuring accurate data collection, and providing actionable insights to enhance user experience and improve marketing performance.
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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