Data Analyst

Solace is hiring a Data Analyst to partner with its Operations team at a healthcare advocacy marketplace. The role turns operational data into insights, scalable analytics, and improvements across patient and advocate workflows, helping the company optimize performance, staffing, and resource allocation.

Responsibilities:

• Drive Operational Excellence: Find bottlenecks and inefficiencies across the patient journey (intake, match, active care) and in advocate workflows. Don’t wait for the ticket queue: surface the problems worth solving and turn complex data into operational improvements that move the business forward
• Model Capacity & Throughput: Analyze advocate utilization, caseloads, and supply/demand balance so Operations can staff ahead of growth instead of behind it
• Build Scalable Analytics: Design, build, and maintain dashboards in Hex that automate manual reporting and give Operations, Product, Marketing, and Finance self-serve access to the metrics that matter most
• Curate the Data Layer: Partner with engineering to keep data models clean and reliable, and help refine our SQL and dbt transformations so our infrastructure keeps up with our growth
• Synthesize & Communicate: Turn technical findings into clear recommendations for non-technical audiences. Explain why trends are happening and what leadership should do about them
• Wrangle Complex Data: Work with structured and semi-structured data, including nested JSON and healthcare operational data, to pull signal out of the noise

Requirements:

• 3+ years of experience in data analytics, including time in healthcare operations (health tech, provider, payer, or care delivery) where data directly informed operational decisions
• Healthcare operations fluency: You understand how care delivery actually runs, including intake, scheduling, caseloads, and SLAs, and you know where the operational data tends to break
• Business impact orientation: You judge your work by the business outcome it produced, not by what you built. You lead with the “so what” before the methodology and can speak to the impact of your work without being prompted
• Advanced SQL & Snowflake: You write efficient, complex queries against cloud data warehouses like Snowflake
• Strong experience designing interactive dashboards and reports
• Looker, Tableau, or Metabase experience is also valuable
• Data wrangling expertise: You're comfortable with messy, real-world data, including parsing nested JSON and cleaning unstructured datasets
• AI fluency: You use AI to speed up SQL and analysis, and you have the judgment to check its output against the data and catch it when it's confidently wrong
• Analytical mindset: You don't just pull data. You analyze it to find the root cause of business problems
• Strong communication: You can explain complex data concepts to operators, product managers, and executives alike
• Bias toward action: You're comfortable with ambiguity and shifting priorities, and you'll jump in wherever the team needs you. You'd rather ship a good answer today than a perfect answer in three weeks
• Applicants must be based in the United States
• Hex (or a similar notebook-based BI tool) is highly preferred
• dbt and Git (highly preferred): You can manage your own transformations, contribute to core data models, and work in version control
• Healthcare reimbursement exposure: Familiarity with claims, billing codes, or Medicare reimbursement
• Python/R: For automation, statistical analysis, or forecasting
• Process optimization: You've used data to streamline workflows and cut manual overhead in an operations setting