Top Senior Analysis Reporting Jobs in Rochester, NY

Lead needs assessments and stakeholder engagement to design a centralized conservation data system. Advise on technical platform options, collaborate with IT, produce reports and presentations, and drive adoption across portfolios. May lead project teams and support adaptive management through data strategy and implementation.

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

Lead a team of BI engineers to design, govern, and deliver enterprise BI platforms, dashboards, and self-service analytics. Ensure data accuracy, KPI standardization, platform administration (Power BI/Tableau), semantic modeling, and stakeholder engagement while enforcing governance, driving adoption, and mentoring staff.

Lead enterprise data analysis and governance: elicit requirements, define KPIs, maintain logical data dictionary and data lineage, validate and curate data, design ETL/data integration needs, produce dashboards and actionable insights, drive automation/AI-first improvements and mentor junior team members.

Designs, implements, and maintains DataOps infrastructure and tools to ensure secure, resilient, and performant data pipelines and cloud storage. Automates workflows, monitoring, disaster recovery, and migrations while collaborating with product, DevOps, and infrastructure teams to meet business needs and compliance.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Lead measurement strategy for a book of clients, designing statistical models (MMM), experiments (MMT), and customer analyses. Use R, Python, SQL and ETL tools to extract insights, present advanced methodologies to stakeholders, provide strategic recommendations tied to business goals, mentor measurement analysts, drive process efficiencies, and leverage proprietary Nova tools and AI to optimize deliverables.

Manage model risk governance activities, produce complex reports, oversee risk metrics, assess model candidates, support audits, and lead projects.

Design, build, and maintain Tableau dashboards and interactive reports; translate stakeholder questions into visual analytics; model and prepare data (SQL); validate and troubleshoot reporting; recommend visualization improvements; partner across teams to advance embedded analytics.

Design, develop, and maintain Microsoft Power Platform applications and dashboards (Power Apps, Power Automate, SharePoint, Dataverse, Power BI). Translate stakeholder requirements into technical solutions, create data visualizations and recurring reports, perform trend analysis, troubleshoot integrated solutions, and support system design, configuration, and continuous improvement to improve operational performance and remediation tracking.

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Lead a team delivering actuarial statistical reporting, regulatory submissions, and analytics. Ensure compliance with bureau requirements, drive automated reporting and UAT for policy/claims systems (Guidewire, Solartis), partner with actuarial, technology, and vendors, and manage stakeholder/regulator interactions while mentoring staff and improving data governance and reporting processes.