Top Data & Analytics Jobs in Rochester, NY

Build and maintain dimensional data models in dbt and Snowflake for finance, operations, product, sales, and other business functions. Translate business questions into reliable data solutions, own model lifecycles, establish modeling and testing standards, optimize Snowflake performance and costs, collaborate with data engineering teams, review code, mentor colleagues, and communicate data definitions and tradeoffs to business leaders.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Build and maintain SQL and dbt data models, tables, views, dictionaries, and self-service tools on BigQuery. Support Accounting, Actuarial, and Claims stakeholders from request through production, monitor data quality, prevent defects, document processes, and review AI-generated code. The role requires hands-on data development, collaboration across projects, and growing ownership of a data domain and stakeholder relationships.

Develop resource allocation, demand forecasting, and capacity models for Customer Success. Analyze quantitative and qualitative data, identify trends and risks, and translate findings into actionable recommendations. Partner with finance, planning, delivery, and leadership stakeholders to refine assumptions, resolve complex business issues, and support regional implementation. Present insights to senior leaders and manage cross-functional priorities in an ambiguous, fast-paced environment.

Leads and mentors data engineering teams while overseeing complex cloud data initiatives, technical delivery, engineering standards, data quality, governance, and client collaboration. Designs scalable data platforms, pipelines, and customer-centric data solutions while evaluating AI-enabled technologies and modern architecture patterns. Partners with architects and stakeholders to translate business objectives into reliable, measurable engineering outcomes.

Build and maintain dbt transformation models and Power BI semantic layers on Microsoft Fabric. Establish data quality testing, observability, governance, CI/CD, documentation, and access controls. Partner with business and technology stakeholders to define reliable metrics and data products, optimize performance and costs, troubleshoot issues, and mentor analysts and engineers while advancing analytics engineering standards.

Leads and mentors data engineering teams while overseeing complex cloud data platform, ETL/ELT, pipeline, modeling, governance, and quality initiatives. Partners with clients, architects, and stakeholders to translate business needs into scalable solutions. Establishes engineering standards for CI/CD, testing, observability, documentation, and data governance, while evaluating AI-enabled technologies and modern customer data platforms.

Analyzes claims data to identify trends, anomalies, root causes, cost drivers, and operational inefficiencies. Partners with claims, quality assurance, SIU, finance, and leadership teams to define analytical requirements, develop recommendations, improve claims handling, reduce risk, and enhance efficiency. Presents actionable findings to technical and non-technical stakeholders, including adjusters, managers, and executives.

Supports Ballotpedia’s sample ballot lookup app by researching election boundary rules, sourcing and georeferencing maps, creating and formatting shapefiles, entering boundaries into a database, and testing geographic data. The part-time remote internship runs January 11 through May 7, 2027, for approximately 10–20 hours per week. Interns receive weekly coordination meetings and may receive academic credit.

Leads the enterprise data strategy, governance, and data platform for a P&C insurance carrier. Owns the Microsoft Fabric data warehouse and Azure Data Factory pipelines supporting premium and loss data. Builds data governance, quality, lineage, and documentation programs; develops citizen self-service analytics and data literacy initiatives; and leads data engineers, analytics engineers, and analysts. Partners with underwriting, claims, finance, actuarial, compliance, and executive stakeholders to deliver trusted, scalable, and regulatory-ready data capabilities.