Analytics Engineer

Welldoc’s Reporting and Visualization team is seeking an Analytics Engineer to design and build a scalable analytics data model, with an emphasis on a reusable consumption layer. The role bridges stakeholder priorities with technical implementation to support both BI/reporting and AI-driven applications.

Role Purpose

The Analytics Engineer will help lead the design and buildout of Welldoc’s analytics data model, focusing on creating a strong and reusable consumption layer. You will translate stakeholder needs into technical requirements, assess existing data structures, and shape how BI tools and AI applications consume data. The position is highly autonomous and intended for an individual comfortable working with limited prescriptive direction in a fast-paced environment.

Key Responsibilities

• Act as a thought leader in planning and executing a new data model, with primary focus on building a scalable consumption layer.
• Partner with data analysts, data engineers, and business stakeholders to gather requirements and translate business needs into technical requirements for the consumption layer and downstream analyses.
• Identify and recommend analytics engineering work needed to support reporting, visualization, and AI use cases across the business.
• Assess current data structures and models, and recommend changes to improve scalability, usability, and performance.
• Design, build, and maintain the consumption layer and underlying data transformations that enable self-service reporting, BI tools, and AI applications.
• Apply software engineering best practices to optimize pipeline performance and automate analytics workflows.
• Evaluate additional tools and technologies for fit within the evolving data and analytics tech stack.
• Support company-wide initiatives to improve data quality, accessibility, and governance, including implementing data quality checks and monitoring.
• Contribute to data team best practices, workflows, and documentation to build a sustainable and scalable data function.
• Troubleshoot data issues and communicate root causes and resolutions to internal stakeholders.
• Optimize data infrastructure performance and scalability to support increasing data volumes and changing business needs.

Required Qualifications

• 3-5 years of demonstrated experience designing and building data models and transformation pipelines for analytics use cases.
• At least 3 years of hands-on knowledge of Databricks, including experience building consumption layers used by AI tools and BI/reporting tools.
• Ability to work independently and make sound judgment calls in ambiguous, fast-moving situations without requiring detailed direction.
• Proven ability to translate business and stakeholder needs into well-scoped technical requirements.
• Strong software engineering fundamentals applied to data workflows, including version control, testing, modular design, and automation.
• Experience evaluating data architecture and recommending structural improvements.
• Comfort evaluating and recommending new tools and technologies as the data stack evolves.
• Excellent collaboration and communication skills across data engineering, analytics, and business teams.
• Proactive, ownership-driven approach focused on identifying problems and opportunities before they are raised.

Technology Focus

• Databricks

Education

• A Bachelor’s degree in Computer Science, Data Science, or Business Analytics is preferred.
• A Masters Degree in a relevant field may substitute for some required experience.

Compliance and Environment

Welldoc operates in ISO 13485 and MDSAP regulated environments and is HITRUST and SOC 2 Type II compliant. Employees are expected to either have prior experience in these environments or complete training to understand the requirements needed to support those standards and the associated culture for their role.

Compensation and Benefits

The anticipated salary range for this role is $110,000 - $130,000 per year, with an expectation that most candidates will fall around the midpoint. Exceptional candidates may exceed the range if education and experience warrant.

• Generous PTO
• Medical insurance
• Dental insurance
• Vision care
• Life and disability insurance
• Retirement benefits
• Opportunity to participate in Health Savings Accounts and/or Dependent Care Accounts

Upon receipt of a conditional offer of employment, you may be required to complete and clear a multi-panel drug screening process.

Location and Work Arrangement

Columbia, MD (onsite)