Senior Data Analyst I, Marketing (Alma)

About the role

The Senior Data Analyst I, Marketing at Alma is an individual contributor who will serve as the principal data authority and strategic partner for Growth, Performance Marketing and Lifecycle teams. You will own the marketing data reporting layer, define the technical roadmap, design scalable dbt models, build automated insights, mentor analysts and act as the bridge between marketing leadership, data engineering and data science to drive high-velocity, data-driven decision making.

About the company

Spring Health is a global AI-native mental health company dedicated to eliminating every barrier to mental health. Through its platform it delivers personalized support via self-guided tools, coaching, therapy, medication management and specialty care to over 170 million people worldwide for employers, health plans and partners. Alma, a Spring Health company, simplifies access to high-quality, affordable mental health care by enabling therapists to accept insurance and grow their practices; it operates in all 50 states with a network of over 20 000 therapists and has raised $220.5 M from leading investors.

Requirements

• 4–7 years experience in strategic data analytics, business intelligence, or analytics engineering supporting high-growth Growth or Performance Marketing teams.
• Expert-level SQL proficiency and hands-on experience building core warehouse schemas using dbt.
• Proficiency with multiple BI tools such as Looker, Metabase, Tableau, or Lightdash.
• Deep expertise in digital marketing data ecosystems, including ad platforms, event tracking, lifecycle platforms, and stitching anonymous cookies to known user IDs.
• Strong ability to translate complex technical or analytical concepts into structured frameworks and actionable insights for executive and non-technical stakeholders.
• Demonstrated AI-first mindset, actively leveraging AI-powered tools to increase technical velocity and automate repetitive tasks.
• Self-starter with autonomy to tackle ambiguous business challenges and ability to collaborate across functions to engineer robust data solutions.