Senior Data Analyst

About the role

Brightline is reimagining how families access behavioral and mental health care by delivering it virtually, meeting them where they are with the right support at the right time. This Senior Data Analyst role is centered on one critical business unit, where you will own the narrative behind their performance and growth through rigorous analysis. You will act as the primary analytical partner for a full portfolio of stakeholders, turning complex operational and clinical data into a clear point of view that guides investment and strategy. Rather than simply maintaining dashboards, you will be trusted to challenge the status quo, identifying which questions are worth answering and which underlying data issues must be resolved today to prevent larger failures tomorrow. Success in this role requires a rare blend of technical depth, business intuition, and communication skills, as you translate ambiguous problems into actionable frameworks and compelling data stories. If you are excited to leverage emerging AI tools to accelerate your analysis and embed them into your daily workflow, this role provides the autonomy to do exactly that.

Key facts

What you'll do

• Serve as the analytics point of contact for one of Brightline's business units, supporting a portfolio of stakeholders and their associated business activities across the full customer journey.
• Partner with data leadership and analytics portfolio owners to identify opportunities for solving recurring operational problems and maturing your portfolio's analytics stack over time.
• Surface technical debt and architectural constraints for the backlog before they escalate into critical roadblocks that impact data reliability or speed.
• Partner with stakeholders to execute day-to-day analytical requests, coordinating scoping, prioritization, and trade-offs with data leadership to ensure alignment with strategic goals.
• Act as the subject matter expert and trusted advisor on data and analytics for stakeholders within your aligned portfolio, interpreting complex metrics and their implications.
• Collaborate with data leadership to define, refine, and own the portfolio's metrics, focusing on the operational levers that support and measure key performance indicators.
• Scope the impact of planned and unplanned engineering changes on data and metrics quality, ensuring minimal disruption and consistent definitions.
• Maintain stakeholder trust in data quality through disciplined data governance execution and proactive relationship building across teams.
• Interface with Engineering and Marketing Operations teams to create precise technical requirements for tracking and event schemas that satisfy data architecture and compliance needs.
• Define, design, and develop contributions to the analytics layer architecture using modern tools like dbt and Claude Code to ensure scalability and maintainability.
• Translate stakeholder needs into detailed technical requirements prior to development, utilizing structured thinking frameworks like UML to clarify logic and edge cases.
• Understand when and how to leverage existing data architecture capabilities rather than building new features, optimizing for speed and consistency.
• Maintain strict adherence to the team's data design standards, ensuring all analytical artifacts are documented, reusable, and auditable.
• Provide meaningful code review on fellow teammates' Pull Requests, focusing on logic correctness, performance, and long-term maintainability.
• Maintain the dbt Semantic Layer as a single source of truth on metrics definitions to eliminate ambiguity and conflicting interpretations.
• Independently troubleshoot development environment and coding issues, reducing dependency on others and accelerating delivery.
• Develop clear context documentation with a keen eye toward empowering AI agents to correctly answer basic analytics questions without constant oversight.
• Collaboratively identify business issues, applying healthcare industry experience and data acumen to propose creative, evidence-based solutions.
• Present insights and recommendations to stakeholders using data storytelling techniques that quickly communicate the "so what" and drive action.
• Develop effective data visualizations that clearly support your insights and minimize distractions, ensuring accessibility and clarity for diverse audiences.
• Build and maintain visually appealing business intelligence dashboards rooted in a high-quality user experience that enable self-service exploration.
• Answer ad hoc questions and pull reports using custom SQL, balancing speed with accuracy and proper data handling.
• Support data engineering in designing new features in the data pipeline by articulating clear requirements and expected outcomes.
• Stay current on quickly evolving AI technologies in the healthcare, technology, and data analytics space to identify practical applications for your work.
• Connect with key individuals within your aligned portfolio to understand their needs and influence business strategy through data-informed perspectives.
• Support and lead other responsibilities as assigned, demonstrating flexibility and ownership in a dynamic, mission-driven environment.

Requirements

• A bachelor's degree in a relevant field such as data science, statistics, computer science, business analytics, or equivalent practical experience.
• 7 to 10 years of experience in data analytics, data engineering, or other highly analytical roles with a track record of delivering impact.
• Previous healthcare industry experience in business operations, marketing, or analytics supporting a consumer-facing service.
• Demonstrated mastery of SQL and the ability to write complex queries that are efficient, readable, and well-documented.
• Hands-on experience with modern data tools including at least one transformation and modeling framework such as dbt.
• Strong understanding of data modeling, data warehousing concepts, and dimensional design principles in a cloud environment.
• Experience with data visualization tools such as Tableau, Looker, or Power BI, and a commitment to building clear, actionable dashboards.
• Deep familiarity with metrics and KPIs, including how they are defined, calculated, and governed across platforms and teams.
• Comfort working in ambiguous situations where requirements are evolving and problems are not clearly defined.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• A proactive mindset for identifying risks, surfacing technical debt, and advocating for best practices in data quality and governance.
• Commitment to maintaining HIPAA compliance and understanding the implications of privacy and security in handling protected health information.
• Willingness to partner closely with engineering, operations, and cross-functional teams to deliver reliable analytical solutions.

Nice to have

• Experience using AI-assisted development tools like Claude Code in a production analytics or engineering environment.
• Familiarity with behavioral health workflows, terminology, and key performance indicators in a virtual care setting.
• Background in building and governing the analytics stack for a HIPAA-regulated environment.
• Prior experience contributing to dbt Semantic Layer implementations and metric definition harmonization.
• Demonstrated success mentoring junior analysts and influencing data strategy across multiple stakeholders.

Practical notes

This is a full-time, remote role open to candidates across the United States. The selected candidate will be expected to integrate with a fast-moving, cross-functional team and exercise sound judgment in a mission-critical environment.