• Provide virtual client engagement assistance for key clients across the region. • Analyze the client's financial statements and ensure adherence to financial regulations. • Examine financial and accounting records, documents, and tangible items such as inventory. • Communicate with management regarding engagement progress, risks, and issues. • Take ownership of external file completion and engagement economics. • Review the work of associates and provide coaching and feedback. • Engage with diverse teams from planning through the completion phase of the audit. • Participate in digital initiatives that align with team business needs.

Working as the Financial Analyst you will be a key contributor to the divisional finance team, partnering with a wide range of business units and financial leaders to execute key accounting and financial tasks. You will play a key role in driving insightful reporting, analysis, and forecasting as well. This is a high visibility role reporting directly to the Finance Director, with great growth and development opportunities. Assist divisional finance team with day-to-day tasks including creating AR Invoices, submitting invoices for payment, AR collections, AP Purchase Order creation, AP Invoice submittal, etc. Provide financial guidance to operational leaders as it relates to P&L, invoicing, and balance sheet activity Analyze financial data and provide key insights and commentaries on variances and trends Work closely with accounting to ensure timely and accurate execution of key ledger transactions Provide accurate and timely reporting on the financial activity of projects, initiatives, and other work streams Perform Ad hoc analysis for various stakeholders including specific accounts, regions, and functions Develop new reports for delivering better visibility and tracking Develop new processes for streamlining manual and repetitive tasks

We are seeking a detail-oriented Data Analyst to evaluate, label, and analyze complex datasets that power our AI and machine learning models. In this role, you will go beyond basic data labeling by reviewing raw data to verify and correct existing labels, applying consistent annotations, and using Python to explore datasets, identify patterns in text and other data types, and interpret what the data represents. You will collaborate closely with our AI/ML engineering team to develop and refine annotation guidelines that improve data quality and model performance. Analyze diverse datasets to understand context, quality, and labeling requirements Perform accurate data annotation and labeling with strong attention to detail Clean and preprocess datasets by identifying and correcting errors, inconsistencies, and missing data Collaborate closely with engineers to develop and refine annotation guidelines and standards based on data insights Identify inconsistencies, ambiguities, or anomalies in the data and provide actionable feedback Support data quality assurance by reviewing and validating annotations for consistency and accuracy Document data characteristics, annotation processes, and best practices to maintain knowledge continuity

This role involves providing analytical and documentation support for complex state or federally funded health initiatives. Responsibilities include: Supporting program implementation by assisting with grant administration, procurement, and deliverable tracking. Maintaining structured trackers for milestones, deliverables, reporting deadlines, and partner/subrecipient documentation. Supporting data extraction, cleaning, and validation activities to inform program reporting and performance monitoring. Assisting with reconciliation of basic financial and performance information and preparation of supporting materials for recurring reports and deliverables. Contributing to organized, audit-ready documentation practices within compliance-driven environments. Supporting cross-functional workstreams requiring strong attention to detail and structured execution.