Top Senior Level Data & Analytics Jobs in Rochester, NY

As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.

The Sr. Manager of Analytics at Lyra Health will lead the analytics team in providing scalable reporting, insights, and operational forecasting. Responsibilities include overseeing data analysis, metric definition, dashboard creation, and team management while collaborating with product and tech teams.

As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. They lead data engineering projects and collaborate with cross-functional teams to enhance data initiatives.

The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.

As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.

As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.