Top Analysis Reporting Jobs in Rochester, NY

The Principal Data Engineer will lead the design of data frameworks, mentor teams, implement MDM solutions, and ensure data quality across environments.

As the Director of Measurement Strategy, you will define the analytics roadmap, manage client relationships, lead analytics projects, drive revenue growth, and develop your team while ensuring high-quality analytics delivery.

The Data Analyst will gather stakeholder requirements, create reports in Sigma, utilize SQL for data manipulation, and analyze data trends for strategic decisions.

The Business Intelligence Analyst will support a global infrastructure optimization program by managing data, delivering analytics-driven insights, and maintaining reports on server decommissioning and site closures.

The Data Engineer will develop and maintain automated data pipelines, enhance data quality and interoperability, and support reporting capabilities for the Department of Veterans Affairs.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

The Senior Data Engineer will build and optimize data pipelines and knowledge graphs, collaborating with teams to support analytics and machine learning initiatives, ensuring data reliability and quality, and mentoring junior members.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

The Director of Business Intelligence will lead BI initiatives, manage a team of analysts, and ensure data-informed decisions across the company.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

Design, develop, and optimize Tableau dashboards and data sources on Redshift; collaborate with data engineering (dbt) and business teams; own Tableau governance, performance tuning, documentation, training, and ensure data security compliance.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.