Top Senior Level Data & Analytics Jobs in Rochester, NY

Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

As a Lead Data Engineer at DICK'S Sporting Goods, you will design and manage data platforms, ensuring scalability and reliability. Responsibilities include automating CI/CD pipelines, maintaining enterprise data solutions, creating dashboards for monitoring, and driving technical strategies for cloud resources. Proficiency in coding/scripting and experience with cloud platforms and Infrastructure as Code is required.

As a Sr Analyst in Digital Product Analytics, you will design, develop, and implement data models while analyzing product metrics, conducting data mining, and improving business strategies based on insights. You will communicate findings effectively and mentor entry-level analysts.

The Manager of Operations Analytics will lead Omnidian’s operational analytics strategy, driving data-driven decision-making across the service delivery platform and partnering with senior leadership to enhance efficiency and performance through insights derived from operational data.

The Senior Data Engineer designs, implements, and maintains operational and reporting database systems, constructs data models, develops ETL processes, ensures data integrity, and translates stakeholder requirements into database designs. He/She troubleshoots system errors and promotes a positive team environment while adhering to compliance standards.

The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.