Top Data & Analytics Jobs in Rochester, NY

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Supports university-wide analytics initiatives across the data lifecycle, including acquisition, validation, transformation, analysis, reporting, and visualization. Develops dashboards, reports, data files, and analytical solutions; consolidates and interprets data from multiple sources; troubleshoots processing issues; and communicates actionable insights to campus stakeholders. The role requires maintaining data according to security and management standards while supporting institutional planning and strategic decision-making in a hybrid environment.

Own the end-to-end cloud data platform, including ingestion pipelines, data warehousing, semantic models, governed reporting, and quality controls. Establish Git, CI/CD, testing, environment management, and data modeling standards. Lead Agile delivery, manage the backlog, automate workflows, and line-manage and mentor three engineers. Translate operational, clinical, and commercial needs into technical roadmaps and scalable data products.

Leads the business unit’s data management and master data transformation across customer, product, material, vendor, pricing, and installed-base domains. Establishes governance, ownership, quality standards, lifecycle workflows, authoritative sources, and integration practices across CRM, ERP, PIM, portals, engineering systems, and reporting platforms. Enables trusted Power BI reporting, AI readiness, compliance controls, and data-product development while coordinating stakeholders, vendors, remediation initiatives, and strategic data-roadmap execution.

The Supply Chain Systems Analyst will gather requirements, manage user access, analyze data, test software, document issues, and provide training for Supply Chain systems.

Analyzes sales, distribution, pricing, profitability, and operational data to identify growth and efficiency opportunities. Develops KPIs, dashboards, scorecards, forecasts, and executive reports; evaluates sales and marketing performance; supports planning, budgeting, inventory management, and process improvement. Ensures data integrity, improves reporting capabilities, and translates complex findings into actionable recommendations while partnering cross-functionally with leadership, suppliers, sales, marketing, operations, finance, and IT.

Lead architecture and delivery of scalable AWS data platforms and pipelines using Databricks or Snowflake. Build automated Python/SQL ETL, define data models, set code standards, mentor engineers, and drive data strategy across cross-functional teams.