Job description

ABOUT SOLACE Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement here bloomberg.com. About the Role At Solace, data is at the core of how we operate. We’re a rapidly-scaling, multi-sided marketplace connecting patients with healthcare advocates. Understanding how supply, demand, match quality, and reimbursement interact is central to how we run the business. We are looking for a Data Analyst who thrives in this high-growth environment and excels at transforming data into actionable insights and operational improvements. In this role, you’ll be the analytical partner to our Operations team. You’ll help close critical gaps in how we understand performance and efficiency across the patient journey and advocate workflows. You’ll build the systems that help us ask better questions and bring insights before anyone asks. Your work will directly shape how we scale, optimize our workflows, and allocate resources across the company. What You'll Do - 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. What You Bring - 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. - BI & dashboarding: Strong experience designing interactive dashboards and reports. Hex (or a similar notebook-based BI tool) is highly preferred; 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. Bonus Points - 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. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ashbyhq.com ashbyhq.com. Report suspicious activity to recruiting@solace.health or advocate@solace.health.

Requirements

Must-haves

We are looking for a Data Analyst who thrives in this high-growth environment and excels at transforming data into actionable insights and operational improvements.
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.
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.
Advanced SQL & Snowflake: You write efficient, complex queries against cloud data warehouses like Snowflake.
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.

Nice-to-haves

BI & dashboarding: Strong experience designing interactive dashboards and reports. Hex (or a similar notebook-based BI tool) is highly preferred; Looker, Tableau, or Metabase experience is also valuable.
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.
Applicants must be based in the United States.
Up for the Challenge?
We look forward to meeting you.

Application prep

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Platform: ashby
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