Top Senior Level Analytics Jobs in Rochester, NY

As a Costpoint Systems Analyst, you will provide technical support for Costpoint and its modules, lead implementations, monitor systems performance, support users, translate requirements into specifications, develop process models, conduct regression testing, and ensure compliance with audit and security standards.

As Associate Director of Data Strategy, you will manage multi-channel data and predictive analytics projects, helping clients maximize data utility through solutions tailored to their marketing needs. You will lead a team of Data Strategy Managers and guide clients in building comprehensive data models to enhance measurement and performance.

The Cyber Threat Hunt Analyst is responsible for creating threat models, planning threat hunt missions, analyzing logs, and reporting risk analysis. This role involves collaborating with teams to enhance threat detection and security posture. Ideal candidates should have experience in network and host analysis and proficiency in scripting languages.

As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.

The Senior Manager of Data Science, Advertising will lead data science initiatives for Mozilla’s advertising efforts, focusing on data-driven decision-making and optimizing ad performance. Responsibilities include developing predictive models, analyzing datasets for insights, and collaborating with product and engineering teams to enhance advertising strategies while maintaining user privacy.

As a Strategy & Analytics Manager at Mission Lane, you will lead initiatives for new products and optimize underwriting and pricing strategies. You'll analyze customer data to improve acquisition and account management, collaborating with cross-functional teams to enhance profitability and customer satisfaction.

The VP, Enterprise Data will drive adoption of Predactiv's DaaS solutions, focusing on enterprise sales across the Advertising & Marketing sectors. Responsibilities include collaborating with sales and product teams, delivering technical presentations, developing client relationships, and driving revenue through upsells and new opportunities.