Top Senior Level Analytics Jobs in Rochester, NY

As Lead, People Analytics at Instacart, you will develop a long-term roadmap for people analytics, focusing on impactful data insights. You will lead a team to enhance decision-making through advanced analytical tools, collaborate with HR Business Partners, and translate complex data into strategic initiatives that improve employee satisfaction and business outcomes.

The Senior Product Analyst will analyze data to improve key performance indicators, synthesize quantitative results into insights, and support strategic product decisions. Responsibilities include collaborating with stakeholders, A/B testing, developing dashboards, and understanding user behavior to optimize product experience.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.

The Vice President of Data Science at Thumbtack is responsible for leading a team of 40+ Data Scientists across various analytics domains to drive data-driven decision-making and support long-term product strategy. This role involves partnering with senior leaders in product management, engineering, and design to elevate the product development process and achieve business goals.

Join Quest Analytics as a Director in the Network Analytics team to align, direct, and oversee the delivery of data, analysis, and insights for healthcare access. Responsibilities include deciphering analytic needs, managing stakeholder relationships, ensuring high-quality analytics, developing data accessibility requirements, and leading data analysts. Ideal candidates possess excellent organizational, analytical, and communication skills with a Master's degree in information systems.

As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.

Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.