Top Remote Senior Level Data & Analytics Jobs in Rochester, NY

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.

The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.

As a Senior Manager of People Strategy and Analytics, you will collaborate with senior leadership to implement HR strategies, drive operational efficiency, and leverage data-driven insights to foster an engaging workplace. You'll establish metrics to measure performance, streamline processes, and lead change initiatives across the People Team, ensuring alignment with Attentive's goals.

The Senior Data Analyst at SmithRx will collaborate with business and technology teams to develop metrics, dashboards, and visualizations that drive strategic value. This role involves conducting deep data analysis to uncover insights, managing critical projects, and fostering a culture of data literacy. The analyst will also mentor junior team members and contribute to shaping data practices and documentation.

As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.