Senior Data Analyst

Brightline brings virtual behavioral and mental health care to families, when and where they need it. Every decision we make about how to grow, where to invest, and how to support our clinicians runs through data, and we need an analyst who can turn that data into a clear point of view. WHY THIS ROLE This is a senior individual contributor role for someone who wants real ownership over how a business unit understands itself. You will be embedded with one of Brightline's business units, acting as the analytics point of contact for a full portfolio of stakeholders and the work that matters most to them. You won't just pull numbers. You will translate what the data says into recommendations that shape real business decisions, and you will be trusted to know which problems are worth solving and which technical debt is worth surfacing before it becomes a bigger issue. You will partner directly with data leadership to engineer and mature your portfolio's analytics stack, and you will be the person stakeholders come to when they need to understand not just what happened, but why it matters. If you want a role where your judgment on data governance, insight development, and analytics engineering carries real weight, and you are excited to bring new AI tools into how you work rather than wait for someone else to introduce them, this is that role. RESPONSIBILITIES Analytics Portfolio Alignment - Serve as the analytics point of contact for one of Brightline's business units, supporting a portfolio of stakeholders and their associated business activities. - Partner with data leadership and analytics portfolio owners to identify opportunities for solving recurring problems and maturing your portfolio's analytics stack. - Surface technical debt for the backlog before it becomes a larger problem. - Partner with stakeholders to execute day to day work, and coordinate scoping, prioritization, and trade offs with data leadership. - Serve as the subject matter expert and advisor on data and analytics to stakeholders within your aligned portfolio. Data Governance - Partner with stakeholders and data leadership to define your portfolio's metrics, particularly the operational levers that support and measure key performance indicators. - Scope the impact of planned and unplanned engineering changes on data and metrics quality. - Maintain stakeholder trust in data quality through data governance execution and relationship building. - Maintain HIPAA compliance consistent with company policies, and proactively surface compliance risks to the legal team. - Interface with Engineering and Marketing Operations teams to create technical requirements for tracking that satisfy data’s architectural needs, including product and web eventing. Analytics Engineering & Data Architecture - Define, design, and develop contributions to the analytics layer architecture using dbt (data build tool) and Claude Code. - Translate stakeholder needs into detailed technical requirements prior to development using technical communication frameworks like UML. - Understand when and how to utilize existing data architecture capabilities over creating new features. - Maintain consistency with the team's data design standards. - Provide meaningful code review on fellow teammates’ Pull Requests. - Maintain dbt Semantic Layer as a single source of truth on metrics definitions. - Independently troubleshoot development environment and coding issues. - Develop associated context documentation with a keen eye towards empowering AI agents to correctly answer basic analytics questions. Insight Development - Collaboratively identify business issues, using data acumen and healthcare industry experience to propose creative solutions. - Present insights and recommendations to stakeholders using data storytelling techniques that quickly communicate the so what. - Develop effective data visualizations that clearly support your insights and minimize distractions. Business Intelligence and Technol…