Top Senior Level Data & Analytics Jobs in Rochester, NY

The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Marketing Data Analyst will support the marketing team by providing data-driven insights on markets, competitors, and campaign effectiveness. Responsibilities include analyzing large datasets, creating visualizations, conducting ROI modeling, and facilitating data requirements for projects, while collaborating closely with stakeholders and senior staff.

The Senior Business Analyst for Revenue at Storable will lead projects, manage stakeholder expectations, and bridge business needs with technical solutions. Responsibilities include overseeing the lead-to-cash lifecycle, conducting data analysis using SQL and Tableau, and managing Salesforce and Hubspot configurations to support operational efficiencies.

The Principal Data Scientist will lead data science projects by engineering data models, developing predictive and recommendation models, and collaborating with stakeholders to translate qualitative data into actionable insights. The role involves continuous model assessment, visualization using PowerBI, and mentoring team members while applying advanced statistical methods to large data sets.

The Workday Lead Analyst will design, develop, and maintain Workday integrations and reports, support HR and Finance functions, and ensure the smooth operation of Workday systems. Responsibilities include system maintenance, report development, user training, and participation in project management.

The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.