Senior, Data Analyst

Teladoc Health
ARG - Any Location (Remote)Posted 12 May 2026

Job Description

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 We are looking for a highly skilled Senior Data Analyst to lead the migration of reporting and dashboards, applying extensive experience in data visualization, analytics, and enterprise reporting. This role will serve as a bridge between business stakeholders, IT, and data engineering teams to ensure a smooth transition that enhances self-service analytics, governance, and business insights. At this time, we are considering candidates based in Argentina only. Essential Duties and Responsibilities Migration Leadership : Lead the conversion of workbooks, dashboards, and data models ensuring functional and visual parity while optimizing for performance and scalability. Requirements Gathering : Partner with business stakeholders to identify critical reports, KPIs, and dashboards for migration, while validating business logic during the transition. Data Modeling & Transformation : Build and optimize data models (Star/Snowflake schemas, DAX measures, calculated columns, relationships) to support enterprise reporting needs. Performance Tuning : Optimize datasets, queries, and report performance while ensuring efficiency in handling large data volumes. Governance & Security : Apply role-based access controls, row-level security, and governance best practices to align with enterprise data strategy. Documentation & Training : Document migration processes, data definitions, and dashboards. Provide training and support to business teams. Quality Assurance : Validate report accuracy and consistency by reconciling outputs against source systems. Continuous Improvement : Identify opportunities to enhance visualization standards, streamline reporting processes, and promote self-service analytics adoption. Required Qualifications 8 years of related experience, or equivalent combination of work experience, training, or education. Experience with data visualization and reporting tools which may include advanced Tableau dashboard development. Hands-on experience designing, building, and deploying dashboards, reports, and data models. Power BI experience may be required. Demonstrated ability to translate business requirements into effective visualizations and KPIs. Strong communication and interpersonal skills to work with technical and non-technical stakeholders; excellent documentation and presentation abilities. Preferred Qualifications Strong knowledge of SQL, relational databases, and ELT concepts. Ability to create efficient queries and optimize performance. Experience with Microsoft Azure Data Services (Azure SQL Database, Synapse Analytics, Data Lake, Azure Data Factory). Familiarity with Snowflake or other cloud data warehouses. Knowledge of DAX optimization techniques, Power Query (M language), and performance tuning at scale. Background in healthcare, finance, or regulated industries where compliance and governance are critical. Exposure to Python or R for advanced analytics or automation. Experience developing Power BI governance frameworks (workspaces, pipelines, deployment practices). #LI-MM2 #LI-Remote As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Why join Teladoc Health? Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission . Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. Join a multi-faceted community ... (truncated, view full listing at source)
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