Top Senior Level Data & Analytics Jobs in Rochester, NY
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
The Lead Database Engineer will design, implement, and maintain critical PostgreSQL database systems for a 24x7 SaaS platform, ensure database operations support business needs, mentor team members, and comply with HIPAA policies.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
The Intelligence Analyst will create intelligence reports and assessments focused on identifying threats and vulnerabilities to U.S. interests, perform technical analysis, conduct training, and prepare after action reports. The role requires collaboration on military decision making processes and incorporating all-source information into reports.
The Senior Data and Insights Analyst in Legal will analyze legal spend data to provide actionable insights for decision-making, support risk management, and enhance operational efficiency in the legal department. Responsibilities include collaborating with various legal and cross-functional teams to interpret large datasets, track trends, and present findings effectively to optimize processes and drive cost reduction.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
The Senior AWS Data Engineer will expand and optimize data and data pipeline architecture, ensuring optimal data delivery for cross-functional teams. Responsibilities include designing ETL workflows, managing data lake schemas, coding transformation logic, and implementing standards for data ingestion and security.
The Senior Product Data Analyst role involves analyzing product usage and customer outcome data to influence product features and operational efficiency. Responsibilities include building data models, developing reports and dashboards, optimizing data utilization for strategic decisions, and collaborating with multiple departments to support business needs.
The Senior Workday Analyst will optimize HR technology solutions, specifically in Workday, by acting as a subject matter expert. Responsibilities include configurations, reports development, data integration, and supporting HR technology projects, while ensuring operational excellence and enhancing the employee experience.
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