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The HRIS Analyst at Toast supports and enhances Workday's functionalities, handling technical operations like troubleshooting, reporting, and configuration. They assist with security assignments, customer support for employees, and oversee Workday's semi-annual updates while ensuring compliance with SOX regulations. They also create enablement materials for partner teams.
The Senior Quantitative Credit Risk Analyst will define credit risk strategies, identify risk drivers, work with the Data Science team to develop credit and collection models, and collaborate with other teams to launch new features or products, all aimed at driving business growth and improving credit performance.
As the Senior Data Analyst for the Customer Experience Platform, you will collaborate with product, engineering, and operational teams to analyze customer behavior, develop data models, and build dashboards. You will utilize SQL to create datasets for reporting needs and proactively identify analytics opportunities to support product development and enhancements.
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The role involves collaborating with both technical and non-technical teams to define and implement system requirements, ensuring software changes meet business needs, and supporting root cause analysis for defect resolution. Responsibilities include project documentation, platform configuration, and training design.
The Senior BI Analyst will develop advanced financial models using SQL, collaborate with business partners for financial projections, and synthesize complex data into actionable insights for the GTM leadership. They will analyze performance discrepancies, communicate with various stakeholders, and enable data-driven decision-making while driving improvements in financial performance.
Responsible for administering employee engagement tools, designing surveys, creating dashboards, and managing data for People Analytics team. Requires 2+ years of experience with Qualtrics and data visualization skills.
Seeking a seasoned model risk professional to lead the model risk management program at Toast, ensuring advanced predictive, statistical, credit/lending, financial, and other machine learning models are appropriately used and comply with internal policies. Responsibilities include designing, implementing, and managing the model risk program, overseeing model validation reviews, and collaborating with cross-functional teams. Requirements include an advanced degree in quantitative fields, 8 years of experience in model risk management or data science, proficiency in machine learning and statistical modeling techniques, strong Python and SQL skills, familiarity with software engineering practices, and excellent knowledge of model risk management frameworks.
The Senior Systems Analyst for Billing & Collections will support and optimize billing systems, ensuring efficient operations and compliance with financial policies. The role involves translating business requirements into software solutions, collaborating across technical teams, and improving product quality through testing and analysis.
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