Top Analysis Reporting Jobs in Buffalo, NY

As a Risk Analyst at Housecall Pro, you will investigate high-risk payment transactions, evaluate credit worthiness, and collaborate with senior risk leaders to enhance loss prevention strategies. You will need 1-2 years of relevant experience in risk analysis, a Bachelor's degree in accounting or finance, and experience with fraud detection and credit underwriting.

The Data Scientist/Analyst supports AFWERX by leveraging data analytics, machine learning, and statistical modeling to derive insights that guide technology integration and funding strategies. Responsibilities include analyzing datasets, developing models, creating dashboards, and collaborating with stakeholders.

The Compensation Analyst will manage compensation programs, analyze compensation data, maintain pay structures, and oversee leave of absence processes. Responsibilities include conducting job evaluations, ensuring compliance with laws, and providing guidance on compensation metrics to inform decision-making.

As a Data Analyst at Perchwell, you will work on integrating MLS implementations, delivering data pipelines, managing data quality KPIs, developing BI dashboards, and analyzing complex datasets for actionable insights. You'll collaborate with product and engineering teams and cultivate real estate data expertise across the organization.

The job involves analyzing metallic and reinforced concrete structures for SMR-300 plants, utilizing various engineering methods and software. Responsibilities include performing static and dynamic analyses, developing designs based on requirements, preparing design deliverables, and ensuring documentation meets engineering and licensing standards.

The Sr. Credit Risk Analyst will develop and optimize credit strategies using advanced analytics, machine learning, and statistical models to manage and reduce credit risk. Responsibilities include designing A/B tests, conducting loss forecasting, collaborating with various teams, analyzing portfolio performance, and ensuring compliance with regulations.

The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.