Top Analytics Jobs in Rochester, NY

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

The Senior Data Analyst will support the Growth Marketing team by developing reports and data insights, conducting statistical analysis, and enhancing data quality for marketing campaigns.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As the Director of Global Support Analytics, you'll oversee analytics and process optimization to enhance customer support, integrating various data sources and establishing KPIs for operational excellence.

Technical leader building scalable data pipelines, analytics infrastructure, and APIs. Own architecture, optimize large-scale query performance, mentor engineers, and partner with product and integration teams to deliver real-time and historical analytics.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.

Analyze IVR journeys and large-scale contact center call data to identify containment and routing issues, transform and model datasets, produce dashboards and concise data-backed insights, validate speech vs DTMF performance, track IVR KPIs, and collaborate with architects, engineers, and product teams to optimize IVR architecture and customer experience.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

The CJA Pod Lead/Technical Architect will lead the migration of Adobe Analytics to Customer Journey Analytics, ensuring accurate recreation of analytics logic and reporting structures. Responsibilities include guiding teams, overseeing data validation, and collaborating with stakeholders to optimize analytics environments.

The CJA Business Analyst translates business analytics requirements into actionable tasks within Adobe Customer Journey Analytics, ensuring accurate reporting and effective migration from Adobe Analytics. Responsibilities include requirement gathering, validation, documentation, and collaboration with stakeholders.

The Analytics Engineer will develop scalable data models, collaborate with business teams, and ensure data quality, while empowering stakeholders with tools and training.

Lead the Finance Reporting and Analytics team to drive growth through data-driven decision making, managing analysts and delivering insights via dashboards and predictive models.

Lead a team of analysts to conduct research, manage experiments and business intelligence dashboards, and improve marketing performance.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

Responsible for analytical data needs, guiding complex data projects, and providing insights for decision-making in workforce and talent operations.

As Commercial Analytics Manager, you'll analyze performance data to develop strategic insights, drive growth, own sales forecasting, and enhance compensation plans in partnership with Finance.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.