Top Senior Analysis Reporting Jobs in Rochester, NY

Build and maintain batch ETL pipelines on Azure Databricks and Microsoft Fabric to ingest Workday and legacy systems into a governed medallion lakehouse. Develop Spark/Python/SQL transformations across Bronze/Silver/Gold layers, orchestrate and monitor workflows, implement data-quality checks, and model data for analytics. Lead-level engineers set standards, own complex integrations, mentor peers, and partner on platform and governance decisions.

Design and own a federated, multi-institution medallion lakehouse on Azure Databricks and Microsoft Fabric. Define federated multi-tenant architecture, Unity Catalog security, data ingestion from ERP/SIS/LMS/CRM/Workday, and platform standards. Provide hands-on architecture guidance, review designs, document decisions, and partner with governance, delivery, and engineering teams to enable production analytics at multiple institutions.

Transform commercial, market, consumer, and portfolio data into actionable insights. Build and maintain dashboards and KPI reporting, analyze performance and competitive trends, support pricing, assortment, and launch decisions, and deliver executive-ready recommendations while partnering with cross-functional teams to ensure data quality and commercial alignment.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

Design, build, and maintain scalable data architectures and pipelines (databases, data warehouses, data lakes) to support analysts and data scientists. Implement ETL/data integration, ensure data security and governance, optimize retrieval and performance, collaborate with stakeholders, and deploy solutions using cloud platforms and modern data processing frameworks.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Own end-to-end analytics for the Pro product: build production data pipelines and dbt models, define north-star metrics, design dashboards and full-funnel reporting, lead A/B experimentation and causal inference, embed AI tooling, and deliver clear data-driven recommendations to product and leadership.

Build and own people analytics: headcount planning, attrition, hiring funnel, compensation benchmarking, and org health. Create self-serve dashboards, establish data governance, partner with People and business leaders, and translate workforce data into actionable recommendations.

Build and maintain an enterprise intelligence foundation: aggregate customer, operational, market, and competitive data; create dashboards, scorecards, and recurring business reviews; produce executive-ready reporting and actionable recommendations; support Marketing, Loyalty, CRM, Culinary, Pricing, CX, and Operations; translate complex data into clear narratives and scalable intelligence programs to improve customer experience, retention, and business performance.

Own client-facing analytics and attribution: establish baselines, implement tracking and lead-to-sale matching, run holdout and lift experiments, quantify cost avoidance, build cross-client benchmarks, and translate findings into clear ROI narratives that inform pricing, product, and renewal conversations.

Lead people analytics strategy and execution: build HR data governance, remediate UKG Pro data quality, deliver enterprise people scorecards and dashboards, advance analytics from descriptive to predictive, and partner with HR, Technology, and Finance to drive data-driven workforce decisions.