Top Data & Analytics Jobs in Rochester, NY

Build and maintain scalable, governed data pipelines from ingestion through transformation and integration. Implement schema validation, data quality checks, job monitoring, and production-grade APIs. Work with Python, SQL, Airflow, dbt, AWS (EMR, Athena, S3), Iceberg/Parquet, and contribute to CI/CD, observability, and on-call support while collaborating with analytics and product teams.

Lead design and operation of large-scale data pipelines and data APIs. Build Spark/PySpark workflows on Databricks, optimize job performance, manage data quality and observability, and develop MCP servers and AI-agent integrations. Mentor engineers, define standards, support production incidents and on-call rotations, and collaborate with stakeholders to deliver scalable data platform products.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

Design and lead end-to-end Adobe Experience Platform and Real-Time CDP architectures: data ingestion, XDM schema design, identity resolution, integrations with Adobe suite and enterprise systems, data governance, privacy compliance, performance optimization, and mentoring development teams while translating business requirements into scalable solutions.

Lead strategic revenue cycle analyses to diagnose patient billing and collections performance, quantify ROI and value, build executive-ready recommendations and playbooks, partner cross-functionally, and mentor teammates to drive scalable, data-driven improvements.

Build and maintain sales KPI dashboards, perform recurring and ad-hoc sales performance analyses, model efficiency drivers (churn, LTV:CAC, pipeline coverage), create executive insights, partner with GTM leaders, and automate/reporting processes to scale Sales operations.

Lead and execute analytics implementations (primarily Google Analytics/GTM or equivalents), consult on technical solutions, manage client interactions, QA project work in Asana, mentor junior consultants, and deliver insights and data visualizations for clients.

Develop and maintain a password-protected .AI dashboard that displays near-real-time KPIs from the Identity Digital Data Warehouse. Build a single-screen executive UI with drill-down toggles, integrate TLD metrics across growth, financial, technical, and security pillars, coordinate with RSP and stakeholders, and provide on-site presence in Anguilla plus occasional travel and emergency support.

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.