Data Analyst III, Data Platform Engineering Support

Join the team leading the next evolution of virtual care.At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.Summary of Position Come build the data and analytics tools that will help real people live measurably better lives. As a key part of our data platform engineering support team, you'll work with cutting-edge data processing frameworks, technologies, and platforms to empower stakeholders across the business with the tools that enhance and reinforce Teladoc Health's value proposition. Your contributions will drive growth, strengthen client retention, and improve our products, while providing a better way for Teladoc Health members to manage chronic health conditions. The data platform engineering support team within Data & AI at Teladoc Health partners with client management, client operations, finance, marketing, clinical operations, and product analytics to analyze data, draw insights, and tell stories rooted in data for a rapidly scaling business. This is an opportunity to use technical rigor to apply data science and analytics insights to real-world problems, and to make sure the data behind those insights is accurate, timely, and trusted across every team we support. You'll work with SQL, Python, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, Tableau and other technologies to build and support data loads and to deliver impactful analyses, datasets, dashboards and visualizations. Collaborating closely with data scientists, engineers, PMs, clinical researchers, and business partners across the company, you'll help us transform the healthcare industry with innovative, highly-effective products. Essential Duties and Responsibilities * Serve as the primary owner for a portfolio of production data pipelines, analytical datasets, dashboards, and reporting assets, ensuring timely, accurate, and reliable delivery of business-critical information. * Partner with business stakeholders and leaders to translate complex business questions into clear data requirements, analytical approaches, and prioritized solutions while managing expectations around scope, timelines, and deliverables. * Design, build, optimize, and support ETL/ELT processes and analytical datasets using technologies such as Azure Synapse Analytics, Databricks, Snowflake, and dbt. * Support onboarding and integration of new client, payer, and internal data sources, including claims, eligibility, EHR, and other healthcare-related datasets. * Define and implement data quality standards, validation frameworks, monitoring processes, logging, and alerting mechanisms to ensure data integrity and reliability. * Lead root-cause analysis and resolution of complex data issues and production incidents, serving as an escalation point for critical data-related challenges. * Evaluate data model and schema changes, assess downstream impacts, and provide recommendations to minimize business and operational risk. * Analyze business trends and develop insights that support growth, client retention, financial performance, marketing effectiveness, clinical program outcomes, and product innovation. * Create and maintain dashboards, reporting solutions, metric definitions, data dictionaries, and operational documentation that promote consistent use and understanding of data across the organization. * Partner with analysts, data scientists, engineers, database administrators, product managers, clinical researchers, and business stakeholders to establish and maintain analytical rigor and data quality standards. * Mentor junior team members and contribute to team best practices involving code quality, documentation, version contro