Top Analytics Engineer Jobs in NYC, NY

As an Analytics Engineer, you'll design and implement data models, transform raw data into usable datasets, and create dashboards and reports using Tableau, collaborating across teams to meet business insights needs.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

Lead analytics initiatives for PlayStation Studios, focusing on marketing and publishing decisions, and improve data models for game performance insights.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

The Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.

The Sr. Analytics Engineer will design and optimize analytics solutions, developing Tableau dashboards and managing data pipelines while fostering cross-functional collaboration.

The Analytics Engineer will enhance ad targeting and audience understanding through data exploration, metric tracking, and model support while collaborating with cross-functional teams.

The Analytics Engineer will own and optimize the DBT analytics pipeline, enhance data models, ensure data accuracy, and innovate solutions while collaborating with stakeholders.

As an Analytics Engineer, you will design data pipelines, build dashboards, and partner with teams to influence product strategy through data insights.

The Lead Analytics Engineer drives scalable data solutions, enhances data strategy, and leads technical initiatives while mentoring the analytics team.

The Senior Data Analytics Engineer analyzes, develops, and delivers business intelligence solutions, builds and maintains databases, and collaborates with clients to meet business needs.

The Senior Data Analytics Engineer develops business intelligence solutions using the Microsoft Analytics stack, collaborates with clients, and delivers scalable data solutions.

As an Analytics Engineer, you'll support internal teams by developing reliable data models, ensuring data quality, and creating intuitive reporting structures to facilitate decision-making across the business.

The Senior Analytics Engineer collaborates with product managers and data teams to develop analysis tools, metrics, and frameworks that enhance media production efficiency and strategy at Netflix.

The Analytics Engineer will build data pipelines, integrate complex data sources, and collaborate with stakeholders to enable data-driven decision making.

The Analytics Engineer will develop and maintain data products to drive cross-functional decision-making and improve Novo's data culture.

The Analytics Engineer consolidates data sources into reliable datasets, designs metrics and reporting tools, and ensures data quality for decision-making across teams.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

As a Senior Analytics Engineer, you will bridge data engineering and analytics, creating scalable data solutions while collaborating with stakeholders to drive data-driven decisions and improve business value.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

The Quantitative Engineer Analyst assists in designing and implementing software components for data and analytics, collaborating with stakeholders and developing models and testing processes.