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Data AnalystStartups Launchpad • New York, New York, United States
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Data Analyst

Startups Launchpad
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of adults lack the health literacy to navigate it without help. Solace cuts through the red tape by connecting 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, backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S.-based team is lean, mission-driven, and growing fast.
Solace isn't a place to coast. We're here to redefine healthcare—and that takes 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 genuinely cares, you've found the right place. We're intense, and we own it.
Read more in our Bloomberg funding announcement here.
About the Role At Solace, data drives everything we do. We're a fast-scaling startup where we work hard, move quickly, and wear multiple hats. We're looking for a Data Analyst who thrives in this high-growth environment and excels at turning data into actionable insights and operational improvements.
In this role, you'll be a strategic partner to the business, helping us close critical gaps in how we understand performance and efficiency. You'll build the systems that help us ask better questions and uncover the insights that guide our path forward. As part of a collaborative and growing team, your work will directly shape how we scale, optimize workflows, and allocate resources across the company.
What You'll Do
Drive Operational Excellence: Proactively identify bottlenecks and inefficiencies in our processes. You'll serve as the bridge between raw data and business strategy, transforming complex datasets into actionable insights that move the business forward.
Build Scalable Analytics: Design, implement, and maintain tracking systems and dashboards that automate manual reporting, giving stakeholders self-serve access to the metrics that matter most.
Curate the Data Layer: Partner with engineering to maintain clean, reliable data models. You'll help refine SQL transformations to ensure our data infrastructure scales with our growth.
Synthesize & Communicate: Translate technical findings into clear, concise recommendations for non-technical audiences. You'll tell the story behind the data—helping leadership understand not just what's happening, but why and what to do about it.
Wrangle Complex Data: Work with structured and semi-structured data (including nested JSON) to extract meaningful signals from the noise.
What You Bring
Advanced SQL & Snowflake: You're an expert at writing efficient, complex queries to extract and manipulate data from cloud data warehouses like Snowflake.
BI & Dashboarding: Strong experience designing interactive dashboards and reports. Familiarity with Hex (or similar notebook-based BI tools) is highly preferred. Experience with Looker, Tableau, or Metabase is also valuable.
Data Wrangling Expertise: You're comfortable working with messy, real-world data—including parsing nested JSON and cleaning unstructured datasets.
Analytical Mindset: You don't just pull numbers; you dig in to find the root cause of business problems.
Strong Communication: You can explain complex data concepts to product managers, operations teams, and executives with equal clarity.
Startup DNA: You're comfortable with ambiguity, ready to adapt as priorities shift, and willing to jump in wherever the team needs support.
Bonus Points
dbt Experience: Familiarity with dbt (data build tool) is a plus. We value analysts who can manage their own transformations and contribute to core data models.
Python/R: Experience using scripting languages for automation, advanced statistical analysis, or forecasting.
Process Optimization: A background in operations where you've used data to streamline workflows and reduce manual overhead.
Applicants must be based in the United States.
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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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