Role Description The Senior Quality Operations Coordinator, Analytics provides focused support within the Quality Operations Analytics team, assisting with data validation, basic reporting tasks, and continuous monitoring of data accuracy and completeness. Reporting to the Quality Operations Director, Analytics, this role helps strengthen day‑to‑day workflows related to record review, reporting, and process improvement tracking within PACE operations, and contributes to maintaining high data integrity standards. This role is different because the Senior Quality Operations Coordinator, Analytics at WelbeHealth: - Builds the foundation of data integrity across PACE operations, playing a critical role in ensuring the accuracy and reliability of data that drives care quality and compliance. - Gains hands-on exposure to analytics, reporting tools, and process improvement initiatives, offering a unique opportunity to develop technical skills while directly impacting operational excellence in a mission-driven healthcare environment. On the day-to-day, you will: - Perform routine data validation reviews to confirm completeness and accuracy, as well as document findings and escalate potential issues to Quality Operations leadership. - Maintain dashboards and reporting tools within Smartsheet or similar platforms under team guidance. - Support process improvement tracking including documentation of ongoing initiatives, outcome reporting, and feedback on Quality leadership. - Participate in project specific audits or data reviews to ensure reporting accuracy aligns with established SOPs as needed. - Identify and suggest workflow efficiencies and automation opportunities to streamline audit, reporting, and data validation tasks. - Exhibit strong independence and ownership of technical responsibilities with minimal supervisory oversight. Qualifications - Working knowledge of Smartsheet (formulas, data entry, basic dashboards, linking). - Proficiency in Excel (data filtering, basic formulas, charts, and formatting). - Exposure to or interest in learning Power Automate or other automation tools to support workflow efficiency. - Ability to assist in creating PowerPoint visuals with charts and basic data stories that support team or leadership reporting. - Strong attention to detail in data validation, documentation accuracy, and version control. - Effective communication skills that allow clear collaboration with peers and supervisors. - Ability to develop and maintain workflow documentation with guidance. Benefits - Medical insurance coverage (Medical, Dental, Vision). - Work/life balance - 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days. - 401K savings + match. - Comprehensive compensation package including base pay and bonus. - And additional benefits! Compensation Offering $29.65 — $39.14 USD Our Commitment to Diversity, Equity and Inclusion At WelbeHealth, we embrace and cherish the diversity of our team members, and we're committed to building a culture of inclusion and belonging. We're proud to be an equal opportunity employer. Beware of Scams Please ensure your application is being submitted through a WelbeHealth sponsored site only. Our emails will come from @welbehealth.com email addresses. You will never be asked to purchase your own employment equipment. You can report suspected scam activity to fraud.report@welbehealth.com.

Role Description The Senior Associate, Data Analytics role will work closely with the manager and department head of analytics to support the company’s growth through high-impact analyses across internal and external data sources. As part of a small Advance Analytics & Enterprise Data team, you will own analytics workstreams end-to-end—from framing the question and building the dataset to delivering clear, executive-ready insights that inform decision-making, surface emerging risks and opportunities, and improve performance. Your duties include, but are not limited to: - Portfolio Analytics - Build and maintain analytical infrastructure to monitor portfolio performance, including KPI dashboards, recurring reporting, and self-serve tools. - Derive analytical insights from portfolio data and evaluate risk profile trends. - Provide insights beyond the data by connecting quantitative findings with business context, customer behavior, and market dynamics; identify trends and leading indicators not directly visible in core datasets. - Develop pricing models to evaluate and price bulk portfolios for purchase. - Conduct analysis on portfolio impact due to changes in macroeconomic factors and make business recommendations. - Operations Analytics - Develop metrics to monitor and improve funder and underwriter effectiveness along several key credit dimensions. - Formulate actionable tasks to lower delinquency rates, losses and roll-rates. - Ideate and innovate superior collection strategies to increase the effectiveness and efficiency of collector activities. - Identify and support operational process improvements by leveraging technology and analytical tools; help standardize and automate report generation and data quality monitoring. - Cross-functional - Partner with Servicing Operations team to leverage analytics to develop superior operational processes. - Partner with Technology team for evaluation and roll out of cutting-edge innovation in financial technology. - Coordinate with Risk team to refine existing underwriting models and build newer risk models. - Support the manager and director with ad hoc analyses to address specific business problems; synthesize findings into clear, executive-ready narratives and recommended actions. - Partner with Data Engineering team to build AI ready dataset. Qualifications - Bachelor’s degree in Finance, Statistics, Mathematics, Engineering or similar is required. - 4+ years of experience in analytics, business intelligence, data science, or statistical modeling. - Strong proficiency with SQL and relational databases. - Strong proficiency with BI tools (e.g., Sigma, Tableau, Power BI). - Strong written communication skills, with an ability to create clear and concise communication. - Strong oral communication skills, with experience presenting insights to stakeholders. - Basic exposure to translating a business problem into a structured analysis. Experience in analyzing large and complex data sets. - Experience in business analytics and data-based decision making. - Experience with data scripting language (Python, SAS, R). Requirements - Master’s in a highly quantitative discipline such as Statistics is preferred. - 2+ years experience in a consulting capacity. - Experience with Snowflake, Databrick, AWS. - Experience with machine learning principles such as A/B testing, association analysis, clustering, decision trees, neural networks, principal component analysis, regression, etc. Benefits - Great Perks – We offer generous salaries, competitive health and welfare benefits, paid vacation, 401(k) match, tuition reimbursement, quarterly social outings, monthly lunches, a robust employee recognition, and training development program to enhance your career with us. - Culture - We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself. - Growth - Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you.

• Own high-impact analytics projects from scoping through to delivery, ensuring actionable insights, clear recommendations and implementation. • Be the go-to expert for data-led decision-making. • Present findings to senior leadership and stakeholders with confidence, clarity, and business relevance. • Champion a culture of evidence-based decision-making, uplifting analytical capabilities across the org. • Develop, track, and evolve KPIs to monitor performance and highlight opportunities. • Use statistical or advanced analytical methods when appropriate to deepen understanding and guide strategy. • Take ownership of data quality, governance, and consistency in everything that you do.

• Developing and maintaining dashboards • Performance metrics and operational reporting to support program oversight and financial visibility