Data Analyst III, Data Platform Engineering Support

Teladoc Health, Inc.; Illinois; Hybrid; USD 99,000 - 114,000; Full time

Benefits offered by this job

Performance bonus

Flexible vacation policy

Paid sick leave

Job summary

Teladoc Health, Inc. is seeking an experienced data analytics engineer to own production data pipelines, analytical datasets, dashboards, and reporting assets. You will translate business questions into data requirements, and collaborate with stakeholders to deliver timely insights.

Work with Azure Synapse, Databricks, Snowflake, and dbt to build scalable ETL/ELT processes and impactful analyses. This role emphasizes data quality, reliability, and cross-functional partnership in a fast-growing

Qualifications

• Bachelor’s degree in a quantitative, technical, or related field.
• 5+ years of professional experience in data analytics, analytics engineering, data engineering, BI, or related disciplines.
• Advanced SQL skills and strong Python programming for analytics, automation, and data transformation.
• Experience developing dashboards and visualizations using Power BI and/or Tableau.

Responsibilities

• Serve as the primary owner for a portfolio of production data pipelines, analytical datasets, dashboards, and reporting assets.
• Partner with business stakeholders to translate questions into data requirements and prioritized solutions.
• Design, build, and optimize ETL/ELT processes using Azure Synapse Analytics, Databricks, Snowflake, and dbt.
• Support onboarding and integration of new client, payer, and internal data sources (claims, eligibility, EHR).
• Define and implement data quality standards, monitoring, and alerting for data integrity.
• Lead root-cause analysis and resolution of complex data issues and production incidents.

Skills

Advanced SQL

Python

R (optional)

Data storytelling

Analytics experience

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Snowflake

dbt

Azure

Power BI

Tableau

AWS

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

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 control, testing, and peer review.
• Evaluate emerging technologies, including AI‑enabled tools, to improve analytics workflows, code development, documentation, efficiency, and productivity.
• Ensure compliance with HIPAA requirements and company data governance policies when working with protected health information (PHI) and personally identifiable information (PII).

Required Qualifications

• 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 and strong Python programming experience for analytics, automation, and data transformation.
• Experience with R is a plus.
• Experience developing dashboards and visualizations using Power BI and/or Tableau.
• Proven ability to write maintainable, scalable, and well‑documented code and contribute to engineering and analytics best practices.
• Hands‑on experience working within cloud‑based data environments, including Azure and/or AWS.
• Experience with Databricks, Snowflake, and dbt, including development and support of production‑grade data pipelines and transformations.
• Experience with GitHub, version control workflows, code reviews, and Jira or similar project management tools.
• Demonstrated success partnering with cross‑functional stakeholders to define requirements, deliver insights, and drive business outcomes.
• Strong problem‑solving skills and the ability to work independently in a fast‑paced environment with evolving priorities.
• Excellent communication and storytelling skills, with the ability to present technical findings to both technical and non‑technical audiences.

Preferred Qualifications

• Experience with Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage Gen2.
• Experience working with healthcare, payer, provider, population health, or other highly regulated data environments.
• Familiarity with healthcare claims, eligibility, EHR, and related healthcare datasets.
• Working knowledge of HIPAA requirements and data privacy best practices related to PHI and PII.
• Experience building and supporting production ETL/ELT processes, including monitoring, troubleshooting, validation, and data quality frameworks.
• Experience mentoring analysts or providing technical guidance to team members.
• Familiarity with statistical analysis techniques and data science methodologies; exposure to machine learning concepts is a plus.
• Experience leveraging AI‑enabled tools to improve productivity, development workflows, analysis, or documentation.
• Demonstrated curiosity, adaptability, and a commitment to continuous learning and process improvement.

Salary and Benefits

The base salary range for this position is $99,000 - $114,000.

• Eligible for a performance bonus and benefits, subject to eligibility requirements.
• Flexible Vacation Policy – all time off must be approved by your manager prior to use.
• 80 hours of Paid Sick, Safe, and Caregiver Leave annually.

Eligibility and Compliance

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

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 that celebrates each colleague’s unique perspective and is focused on continually improving, each and every day. Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs. Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

Equal Opportunity Statement

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.