Data Analyst III, Data Platform Engineering Support

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $99k - $114k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Teladoc Health

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

👥 B2C

☁️ SaaS

💰 $80M Post-IPO Debt - Teladoc Health on 2016-07

Healthcare • B2C • SaaS

Teladoc Health is a telehealth company that connects patients with care providers through a virtual care platform offering 24/7 urgent care, primary care, mental health (therapy and psychiatry), chronic condition management (diabetes, hypertension, weight management), specialty consultations, and wellness services. It serves individuals directly and partners with employers, health plans, hospitals and health systems to deliver integrated virtual care solutions and technology at scale.

📋 Description

• Own a portfolio of production data pipelines, analytical datasets, dashboards, and reporting assets • Translate business questions into data requirements, analytical approaches, and prioritized solutions • Design, build, optimize, and support ETL/ELT processes and analytical datasets • Onboard and integrate client, payer, and internal healthcare data sources • Define data quality standards, validation frameworks, monitoring, logging, and alerting • Lead root-cause analysis and resolve complex data issues and production incidents • Evaluate data model and schema changes and assess downstream impacts • Analyze business trends and develop insights supporting growth, client retention, financial performance, marketing, clinical outcomes, and product innovation • Create and maintain dashboards, reporting solutions, metric definitions, data dictionaries, and operational documentation • Partner with analysts, data scientists, engineers, database administrators, product managers, clinical researchers, and business stakeholders • Mentor junior team members and contribute to code quality, documentation, version control, testing, and peer review practices • Evaluate emerging and AI-enabled technologies to improve analytics workflows and productivity • Ensure compliance with HIPAA and company data governance policies when handling PHI and PII

🎯 Requirements

• Bachelor's degree in a quantitative, technical, or related field • 5+ years of professional experience in data analytics, analytics engineering, data engineering, business intelligence, or related disciplines • Advanced SQL skills • Strong Python programming experience for analytics, automation, and data transformation • Experience developing dashboards and visualizations using Power BI and/or Tableau • Ability to write maintainable, scalable, well-documented code and contribute to engineering and analytics best practices • Hands-on experience with cloud-based data environments, including Azure and/or AWS • Experience with Databricks, Snowflake, and dbt, including production-grade data pipelines and transformations • Experience with GitHub, version control workflows, code reviews, and Jira or similar tools • Experience partnering with cross-functional stakeholders to define requirements, deliver insights, and drive business outcomes • Ability to work independently in a fast-paced environment with evolving priorities • Excellent communication and storytelling skills for technical and non-technical audiences • Currently authorized to work in the United States without visa sponsorship now or in the future

🏖️ Benefits

• Performance bonus • Flexible Vacation Policy • 80 hours of Paid Sick, Safe, and Caregiver Leave annually • Benefits program for employees and families, subject to eligibility requirements • Career growth opportunities • Inclusive workplace culture • Company-provided equipment at no charge

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