Top Analytics Engineer Jobs in NYC, NY

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 the first Analytics Engineer at Rain, you will consolidate and model data sources, create reliable datasets, and develop metrics and dashboards for decision-making across the company.

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.

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.

Design and build data models and pipelines, implement semantic layers for analytics, ensure data quality, and partner cross-functionally to provide insights and dashboards.

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.

The Senior Analytics Engineer will develop data models and pipelines, partner across teams to enhance decision-making, and provide analytics support for business needs.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

As an Analytics Engineer, you will develop and maintain analytics platforms, support data collection and orchestration, and improve code quality through best practices. You will collaborate with product teams and participate in on-call support for production services while engaging in a collaborative workplace culture.

Responsible for owning and modernizing research and analytics data pipelines, collaborating with teams to develop robust ETL workflows, and ensuring data quality and governance.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.