About the Role
- We're looking for a mission-driven, hands-on Data Analytics Specialist who is not just technically sharp, but obsessed with impact. This is not your average analytics role. You'll be driving the metrics that run the business — from clinical operations to stakeholder reporting to automation.
- You'll work closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision we make is data-backed, actionable, and scalable. If you're the kind of person who finds excitement in building dashboards, triggering automations, rewriting messy pipelines, and helping the company grow through deep insights — this is your playground.
Key Responsibilities
- Own and Drive Business KPIs: Take complete ownership of company-wide metrics; proactively align with stakeholders to ensure accuracy, relevance, and actionability.
- Data Engineering: Build and optimize robust pipelines (ETL/ELT) across Postgres, ClickHouse, and other data sources.
- Dashboards & Reporting: Design and maintain intuitive, powerful dashboards (e.g., Metabase, Power BI, Tableau, Google Data Studio) that stakeholders love to use.
- Backend Data Transformation: Write clean, reusable code to transform raw data into production-grade insights.
- API Creation: Build and maintain internal APIs to serve analytics outputs to frontend and production systems.
- Email Automation: Create dynamic, real-time insights and scheduled updates through email reports for various stakeholders.
- Spreadsheet Mastery: Manipulate and automate complex data in spreadsheets (Excel/Google Sheets) for both deep-dive analysis and reporting.
- AI & Automation: Work with AI models and predictive algorithms to bring automation into analytics and operational workflows.
- Business Understanding: Deeply understand our teleradiology ecosystem—clinical flow, operations, financials, tech platform—and speak the language of every team you work with.
- Proactive Collaboration: Don't wait to be told. Identify data gaps, flag inconsistencies, suggest product tweaks, and work shoulder-to-shoulder with leadership.
Required Skills
- Strong foundation in Python for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.)
- Solid understanding of SQL (ClickHouse, PostgreSQL) and experience designing queries for performance
- End-to-end ownership of dashboards — from data model to frontend display
- Experience building or working with APIs for analytics
- Strong knowledge of spreadsheet tools and formula-driven reporting
- Experience working with AI/ML models for real-world applications (preferred)
- Hands-on experience with backend data transformations, versioning, and automation
- Working knowledge of frontend/backend frameworks, preferably in a full-stack environment
Bonus / Nice to Have
- Exposure to tools like dbt, Airflow, ChromaDB, Streamlit, Plotly
- Familiarity with data privacy, compliance, and healthcare analytics
- Experience building analytics platforms for SaaS or health-tech companies
Mindset We're Looking For
- Willing to go the extra mile to solve a business problem, even if you have to learn the tool that day
- You don't ship unless the numbers make sense, no matter what
- Extreme Ownership: You don't wait to be asked. You drive results.
- Fast Learner: You may not know everything, but you can pick up anything in a few days
- Business First, Code Later: You understand that the goal isn't just dashboards — it's impact
