• Use best software engineering practices to implement quality measures, risk adjustment models, and other metrics for datasets originating from internal and external clients. • Develop high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders. • Maintain and enhance/upgrade the existing Risk Adjustment score calculator for generating RAF scores for the Medicare Advantage population. • Adept at building scalable data solutions and collaborating with downstream analysts to ensure clarity and usability of datasets related to Risk Adjustment, RAF scores, and HCC gap closure. • Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible. • Acquire deep domain knowledge in healthcare operations and track regulatory developments related to analytical products you maintain. • Apply data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products. • With guidance, take ownership of one or several reporting domains, interfacing business stakeholders to understand and deliver their requests.

• Audit our current tracking setup and identify gaps across the full funnel • Configure end-to-end tracking from landing page → key conversions • Set up and validate two core conversion events for purchases. • Implement everything via Google Tag Manager (client-side only) • Capture and pass user data securely for Enhanced Conversions • Ensure clean data flow between GTM, GA4, and Google Ads • QA everything so we can trust the data fully

Role Description We’re looking for a hands-on GTM + GA4 expert to audit, fix, and fully own our tracking setup across a custom-built platform. You’ll be working directly with a custom-coded environment and expected to bring precision, clarity, and clean data. If you love making messy tracking setups bulletproof, you’ll enjoy this. - Audit our current tracking setup and identify gaps across the full funnel - Configure end-to-end tracking from landing page → key conversions - Set up and validate two core conversion events for purchases - Implement everything via Google Tag Manager (client-side only) - Capture and pass user data securely for Enhanced Conversions - Ensure clean data flow between GTM, GA4, and Google Ads - QA everything so we can trust the data fully Qualifications - Proven experience implementing GTM + GA4 on custom-built websites - Strong understanding of the dataLayer and event architecture - Hands-on experience with Enhanced Conversions - Experience debugging and validating tracking across tools - Ability to work independently and communicate clearly on what’s broken and how you fixed it Requirements - Experience working with marketplaces or two-sided platforms (Nice to Have) - Familiarity with subscription funnels and payment tracking (Nice to Have) - Experience improving attribution accuracy for paid ads (Nice to Have) Benefits - Hourly contract - Flexible hours, async-friendly - Potential for ongoing work if it’s a great fit

• Collaborate with the Data Migration Team to deliver data integration solutions for a Case Management System Modernization Program on Azure using MS Dynamics CRM (PowerApps). • Analyze and interpret data migration requirements to design effective ETL solutions. • Design, develop, and optimize cloud-based ETL processes and workflows for migrating data from multiple legacy systems to modern Azure-based targets. • Create and maintain data structures or models needed throughout all stages of the data migration. • Perform detailed source‑to‑target mapping, data validation, cleansing, and quality assurance. • Conduct unit testing and ensure data quality and integrity during migration. • Apply performance engineering techniques to optimize pipelines, especially for scaling future migration waves. • Use Azure Data Factory and SSIS to orchestrate complex data flows from on‑prem to cloud. • Participate in Agile development cycles and collaborate with cross‑functional teams. • Communicate technical progress, issues, and solutions clearly to stakeholders. • Use critical thinking and problem‑solving skills to resolve data migration challenges.