• Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization. • Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem. • Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving. • Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions. • Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact. • Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders. • Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing data-backed strategy recommendations.

Role Description NHC HomeCare & Hospice is seeking an experienced Clinical Informatics Analyst to serve as a key liaison between clinical operations and technology. This fully remote position plays an important role in optimizing clinical workflows, supporting electronic health record systems, and driving process improvement initiatives across our home health and hospice services. The ideal candidate will have experience with Homecare Homebase (HCHB), a strong understanding of home health and hospice operations, and the ability to collaborate effectively with clinical, operational, and IT teams. - Serve as the subject matter expert for Homecare Homebase (HCHB) and related clinical applications. - Analyze and improve clinical workflows to enhance efficiency, compliance, and user experience. - Support system testing, upgrades, implementations, and optimization efforts. - Provide end-user support, troubleshooting, and training. - Develop reports, dashboards, and analytics to support clinical and operational decision-making. - Partner with stakeholders to promote workflow standardization, data integrity, and continuous improvement. Qualifications - Experience working with Homecare Homebase (HCHB). - Knowledge of home health and hospice operations, workflows, and regulatory requirements. - Experience supporting EHR systems and clinical applications. - Strong analytical, problem-solving, communication, and training skills. - Proficiency with Microsoft Office applications, including Excel, Word, PowerPoint, and Teams. Benefits - Flexible Schedule - Competitive Pay & Holiday Incentive Pay - Earned Time Off - Health, Dental, Vision, Disability and Life insurance - 401k with generous company contributions - Tuition Reimbursement Opportunities - Advancement Opportunities

Role Description Our Content & Data Operations team is the engine behind this intelligence. We work on turning unstructured global ad data into the highly accurate, AI-ready datasets that our clients rely on to make high velocity and impactful media decisions. The Quality Analyst is the guardian of data quality across all our ad processing workflows. You are the person who catches what others miss, explains why it happened, and closes the loop so it does not happen again. This is a role for someone who takes pride in accuracy, is energized by finding the root cause rather than just the symptom, and wants to move from doing the work to raising the bar on how the work is done. Primary Responsibilities and Impact Drivers - Quality auditing & defect identification - Perform daily quality audits against the relevant SOP across classification, attribution, mapping, and related workflows, meeting defined productivity and quality targets. - Identify anomalies — SOP defects, process gaps, and recurring error patterns and distinguish a genuine miss from an acceptable judgement call. - Comprehend and apply SOPs with minimal supervision, and flag where an SOP itself is unclear, outdated, or silent on an edge case. - Track process SLAs and turnaround commitments, ensuring audit and review queues are closed on time and any slippage is escalated early with context. - Investigate and help resolve client-raised troubleshooting requests, triaging the issue, identifying whether it stems from a data, process, or model gap, and driving it to closure with the relevant team. - Root cause analysis & continuous improvement - Go beyond what broke to why it broke and identify preliminary root causes and explain your rationale clearly. - Propose practical solutions on quality and productivity, and partner with managers to drive them to closure on agreed milestones. - Bring a continuous-improvement mindset (RCA, basic Lean/Six Sigma thinking welcome) to reduce recurring defects over time. - Recommend process and system improvements from SOP and workflow changes to tooling and automation enhancements — that remove recurring defects at the source rather than re-catching them. - Calibration & standards consistency - Participate in and help run calibration sessions so that audit scoring stays consistent across analysts, processes, and shifts. - Support evaluator readiness and certification so that two analysts auditing the same work reach the same verdict. - Work with your data governance counterparts to turn recurring defect trends into targeted refreshers and SOP updates, so coaching translates into measurable improvement. - Ensure 100% compliance to data governance rules and perfect data quality standards. - Feedback & associate enablement - Deliver clear, specific, and respectful feedback to associates, and close the loop on every audit observation. - Work with your Training counterparts within the Q&T function to turn recurring defect trends into targeted refreshers and SOP updates, so coaching translates into measurable improvement. - Insights & reporting - Prepare key trend insights and share regular, clear quality reports with managers and stakeholders. - Surface emerging risks early and flag updates to the QnT Manager with enough context for a fast decision. - AI / human-in-the-loop quality - Audit AI-assisted and HiTL outputs as our Classification Engine footprint grows by evaluating where the model is reliable and where human review must stay. - Contribute structured feedback that helps improve ML model accuracy. Role Mandate - How you will raise the bar - You treat the quality of the process as yours to defend. You “OWN” the space end to end, you do not wait to be asked. - You identify errors early. You investigate fast and you share feedback faster. You do not stop at reporting the problem. - You hit the daily audit sample targets and move the process accuracy. Activity is not your goal, Impact is. - You are obsessed with Quality standards. You do not let any known error pass. - You strive to make the process better than you found it – for associates, for your team, for the organization and for the clients who rely on our data. - You also partner closely with internal teams like Governance, ML, Data engineering and Product to give feedback to HiTL models. What You Will Deliver - Success Measures: (first 60 days) - You are calibrated and audited to standard across your assigned processes. - Your feedback loops are closing — observations are actioned, not just logged. - You have surfaced at least one recurring defect trend with a proposed, evidence-led fix. - Managers trust your audits as an accurate picture of process health. - After 60 days: Drive floor-wide accuracy to a >98% baseline. Restructure the new-hire onboarding curriculum to reduce speed-to-proficiency ramp time by 15%, ensuring new associates hit target SLAs faster. Qualifications - Demonstrated accuracy and attention to detail in a classification, attribution, mapping, or data-processing role. - Ability to comprehend and apply SOPs independently and identify gaps in them. - Sound judgement in distinguishing a true defect from a defensible call. - Clear written and verbal English communication — able to write a feedback note or a trend summary that needs no follow-up meeting. - A constructive feedback style and the maturity to coach peers respectfully. - Proficiency in using analytical methodologies such as 5 Why analysis and Pareto Analysis to understand and resolve quality issues. - Advanced proficiency with G-Suite, Looker studio, project-management tools (e.g., Jira), and basic AI familiarity. - Ability to analyse data and maintain excellent recordkeeping — reporting on accuracy, sampling, coverage, volume, and other key performance metrics. - Comfortable with mining data from dashboards, building basic ones and basic data analysis; SQL is an added advantage. Preferred - Prior exposure to quality auditing, calibration, or RCA. - Familiarity with continuous-improvement methods (Lean, Six Sigma, Kaizen). - Experience working with AI-assisted or human-in-the-loop workflows. - Experience supporting multiple processes or stakeholders concurrently.

• Generate and review Initial Closing Disclosure (ICD) documents for accuracy and completeness in accordance with company policies and regulatory requirements. • Ensure that the ICD is sent to the borrower at least three business days prior to closing, adhering to TRID (TILA-RESPA Integrated Disclosure) regulations. • Review loan terms, fees, taxes, and other financial data to ensure they are accurately reflected in the ICD. • Cross-check all loan documentation to ensure alignment with underwriting conditions and customer information. • Identify and resolve any discrepancies in loan documentation prior to issuing the ICD. • Stay up to date with federal and state mortgage regulations (including TRID) to ensure all disclosures meet legal standards. • Maintain detailed records of all issued ICDs and monitor timelines to ensure compliance with the three-day disclosure rule. • Work closely with loan officers, underwriters, processors, and closing coordinators to ensure all necessary data is collected and accurately reflected in the ICD. • Communicate with the loan origination team to address any borrower questions or concerns regarding the closing disclosure. • Conduct quality control checks on all ICDs before submission to ensure there are no errors or omissions. • Report any issues or trends regarding ICD errors or compliance risks to management for further review.