Top Senior Level Data & Analytics Jobs in Rochester, NY
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.
The Senior Data Scientist will engage in Generative AI initiatives, leveraging advanced machine learning techniques and large language models to build applications. Responsibilities include data collection, analysis, reporting, and influencing strategic business decisions based on complex data evaluation.
The Senior Director of Strategic Partnerships at insightsoftware will develop the partner program for Logi Symphony, focusing on identifying and managing partner relationships to increase bookings through strategic alliances. This role involves utilizing data for decision-making and collaborating with cross-functional teams to drive program growth and ensure alignment with business objectives.
The Senior GTM Systems Analyst will oversee the post-sales systems strategy, manage projects, build relationships with stakeholders, and ensure continuous improvement of processes and tools to enhance customer satisfaction. This role emphasizes technology ownership and requires a detail-oriented, strategic approach to system optimization.
Seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. Responsibilities include data integration, quality assurance, and exploring new technologies. Requires 5+ years of data engineering experience, proficiency in Azure services, Python scripting expertise, and strong communication skills.
The Data Engineer will design, develop, and maintain data architecture and pipelines, optimize data sources, implement cloud security, and mentor analytics professionals. They will work on complex data problems, foster best practices, and code in SQL to create curated data products.
The HR Analyst audits and analyzes HR-related compensation and benefit areas, prepares reports and forecasts, reviews financial records for accuracy, supports Total Rewards projects, and develops metrics for decision-making. This role requires strong analytical skills and the ability to communicate insights effectively.
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