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Data Analyst III, Data Platform Engineering Support
Teladoc Health. Own a portfolio of production data pipelines, analytical datasets, dashboards, and reporting assets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and engineering, with a strong focus on ETL/ELT processes, advanced SQL, and Python programming. Proficient in developing dashboards and visualizations using Power BI and Tableau while ensuring compliance with HIPAA and data governance policies.
Highest-signal resume keywords
Advanced SQL SkillsPython Programming ExperienceETL/ELT Process DesignPower BI and Tableau Dashboard DevelopmentCloud-Based Data Environments (Azure/AWS)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsAnalytics EngineeringData EngineeringBusiness IntelligenceETL/ELT ProcessesSQLPythonDashboard DevelopmentData TransformationData Quality Standards
Soft Skills
Excellent Communication SkillsMentoringCollaborationProblem-SolvingStorytelling
Tools & Technologies
Power BITableauDatabricksSnowflakeDbtGitHubJiraAzureAWS
Industry Keywords
Healthcare DataHIPAA ComplianceData GovernancePHIPII
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSnowflakeSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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