Top Remote Senior Level Analysis Reporting Jobs in Rochester, NY

The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.

The Senior Analyst for Sales Incentive Compensation will manage the full cycle of sales incentive plans, ensuring accurate calculations and reporting. Responsibilities include reconciling commissions, handling inquiries from the sales team, and supporting compliance projects while identifying process improvements.

The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.

As a Senior Researcher at Apollo.io, you will drive user-centric research initiatives, including usability testing, data collection, and journey mapping. You will collaborate with cross-functional teams to integrate insights into product development and coach junior researchers.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.