Role Description The Quality Assurance & Improvement Specialist is a hands-on, highly collaborative role designed for a professional looking to grow their career in healthcare quality and clinical operations. This individual will be responsible for executing quality assurance audits for our Path Assist program while identifying areas for process improvement. Operating at the intersection of clinical care and data, you will help track workforce adherence, manage regional data reporting, and collaborate across departments to fix operational bottlenecks. Responsibilities - Quality Assurance & Auditing: - Manage and conduct routine clinical case auditing processes to maintain high-quality clinical program operations. - Analyze workforce compliance to ensure Community Health Workers (CHWs) maintain strict fidelity to evidence-based best practices and the specific care standards outlined in our customer partnerships. - Audit case data to ensure clinical operations meet all customer quality requirements, including industry standards like NCQA-HEDIS and Medicare Stars. - Identify data inconsistencies, documentation gaps, and workflow errors in the care process, flagging them for review and root-cause analysis. - Data Reporting & Analytics: - Define the clinical and operational requirements for quality measurement tools, working closely with the Data Analytics team to bring those tools to life. - Maintain, update, and own the data inputs for operational trackers and performance dashboards utilized in large-scale regional initiatives. - Compile raw operational data into clear, trending monthly reports for internal leadership and external partners. - Translate complex quality metrics into actionable insights and visual presentations. - Process Improvement & Collaboration: - Partner closely with multidisciplinary teams, including Operations, Data Analytics, User Experience, and Product, to share audit findings and brainstorm workflow solutions. - Support the planning and execution of continuous improvement projects aimed at increasing the quality of care, CHW team productivity, and overall system efficiency. - Assist in designing and facilitating staff training for navigation teams when new quality standards or improved care model processes are rolled out. - Other duties as assigned. Qualifications - Bachelor’s Degree is required; Master’s Degree (MPH, MHA, etc.) is preferred. - 2 - 5 years of professional experience in healthcare quality assurance, data analysis, public health, or a related field. - Strong visual design and data presentation abilities. - High working proficiency in Excel and building reports. - Excellent written communication skills and the ability to operate independently. - A collaborative mindset with a track record of building positive working relationships across multiple teams. - Cultural humility: You are able to communicate effectively with people from various backgrounds and work respectfully across demographic, socioeconomic, language and, all other constituents that represent diverse cultures of communities. Preferred Qualifications - Familiarity with healthcare populations (Medicaid, MCOs) and a strong understanding of community-based care interventions and social determinants of health (SDOH). Diversity & Inclusion At Activate Care, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, military, and veteran status, and any other characteristic protected by applicable law. Activate Care believes that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The organization is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process. If you require an accommodation to participate in the interview process, please let our team know at the time of scheduling.

Role Description The pipeline is live. Beta customers are using the product. Data is accumulating from auctions in Croatia, Poland, Italy, Germany, France, and beyond. This is the moment where a good analyst makes a measurable difference. You will work on live production data, communicate directly with the team building the product, and ship things that actually get used. This is a unique opportunity to join a high-growth startup on a 100% equity-based compensation model, aligning your success directly with the company's. You'll be part of the foundational team and directly participating in long-term value creation. Key Responsibilities - Build and own visualisations in Apache Superset: property type distributions, country-level auction trends, discount analysis, commercial vs residential breakdowns - Analyse auction field quality across the LLM extraction pipeline and document what the model gets right, what it misses, and why it matters for the product - Contribute to the end-to-end SOP for human-in-the-loop data validation, defining how humans and AI collaborate to move data from raw to trusted across the Bronze, Silver, and Gold layers - Produce S3 inventory and pipeline output reports: file-type distributions, parsing rates, schema completeness - Create structured analytical outputs for internal strategy and customer demos - Work with real multilingual auction data Qualifications - Junior track: You have done some SQL and played with data visualisation tools. You are curious, self-directed, and comfortable working async with a distributed team. You do not need to know everything on day one. - Senior track: You have built dashboards that people actually use. You understand what data quality means in practice. You can look at a messy field distribution and tell a coherent story about it. Experience with cloud storage, dbt, or LLM output pipelines is a real advantage. - Thinks in questions, not just answers - Is comfortable sitting with uncertainty and digging into why the data looks the way it does - Communicates clearly in writing - this team runs async-first - Wants to build something, not just report on it - Sees equity and portfolio value as a genuine upside, not a consolation for a missing salary Why Now The architecture is defined. The pipeline is running. The data is real. What is missing is someone who can turn that data into insight. Every deliverable you produce here is something you can show: real company, real data, real scale. If that matters to you, this is the right moment to get involved. Our Stack - Apache Superset - PostgreSQL - AWS S3 - AWS Athena - Python - SQL - LLM extraction pipelines - Medallion architecture (Bronze / Silver / Gold) - ClickUp You do not need to know all of these. You need to want to learn them. Benefits - Equity: Participation in VendueTech Ltd ESOP Trust, with share allocation based on hours worked and achievements. - Opportunity to work on innovative, data & AI-driven projects transforming the real estate auction market. - Flexible remote work environment with global collaboration. - Direct contribution to the success and growth of a mission-driven, forward-thinking company. Company Description VendueTech is an equal opportunity employer and does not discriminate on the basis of race, religion, gender identity or expression, national origin, age, disability, marital status, sexual orientation, or any other legally protected characteristics. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals.

• Design, develop, and maintain analytical datasets in Snowflake , ensuring data accuracy, performance, and usability for reporting and analysis. • Write complex SQL queries and develop Python scripts for data transformation, validation, automation, and advanced analysis. • Build and maintain interactive dashboards and reports using Power BI , delivering insights aligned to business and operational goals. • Use Hex for exploratory analysis, reproducible analytics workflows, and collaboration across analytics and business teams. • Partner with business stakeholders to understand reporting needs, translate requirements into technical solutions, and clearly communicate findings. • Ensures data integrity; develops and produces reports utilized in measuring data accuracy. • May assist in the completion of appropriate client set-up and maintenance (parameter) forms. • Supports internal and external users including reports, installation, screen, etc. • Creates exception reports to identify fields of incorrect data. • Generates custom reports for internal and external client.

• Design, develop, and optimize analytical datasets and data models in Snowflake to support robust reporting and advanced analysis. • Write complex and efficient SQL queries and leverage Python for data transformation, automation, validation, and advanced analytics. • Build, maintain, and enhance interactive dashboards and reports using Power BI, ensuring clarity, performance, and business relevance. • Use Hex to perform exploratory analysis, develop reproducible analytics workflows, and collaborate with other analysts and business stakeholders. • Partner with business leaders and subject‑matter experts to define analytical requirements, interpret results, and deliver insights that drive operational improvement. • Ensure data accuracy and integrity through quality checks, documentation, and adherence to data governance standards. • Serve as a mentor and technical resource for junior analysts, promoting best practices in analytics, SQL, Python, and data visualization. • Present findings and recommendations to management and senior leadership in a clear, concise, and business‑focused manner.