Confido Health

Position Summary:

- We are seeking a Senior Business & Data Analyst who can bridge the gap between raw data and impactful business storytelling. This is a hands-on, high-agency role that requires both analytical rigor and the ability to communicate insights that drive action.

- You'll work across Product, Engineering, and Customer Success to:

- Extract, analyze, and interpret operational and AI performance data from customer systems (EHRs, CRMs, telephony).

- Build compelling narratives around business impact for clients and internal stakeholders.

- Create scalable, templatized analytics processes for pre-go-live, post-go-live, and longitudinal analyses.

- This is not a "just make dashboards" role - we're looking for someone who thrives in ambiguity, asks the right questions, and digs into edge cases to get to the truth.

Key & Product Analytics:

- Partner with forward-deployed engineers to analyze customer operations pre-implementation and post-implementation.

- Identify high-impact workflows, quantify efficiency gains, and monitor AI performance.

- Investigate edge cases and 2nd/3rd order effects in data to ensure accurate, context-rich analysis.

Business Storytelling:

- Transform analysis into clear, actionable narratives for Customer Success to showcase ROI and value delivery.

- Create case studies, performance summaries, and insights for internal and external audiences

- Process & Tooling

- Develop repeatable, templatized analysis processes to ensure speed, accuracy, and consistency across customers.

- Work with Engineering to improve data accessibility and automate recurring analytics tasks

Collaboration & Mentorship:

- Act as the analytical "glue" between Product, Engineering, and CX.

- Mentor junior analysts on rigor, context-building, and business thinking

Required Qualifications:

- 3-6 years in a business analyst or data analyst role with demonstrated business storytelling.

- Strong experience in SQL, Excel/Google Sheets, and at least one data visualization tool (Looker, Tableau, etc.).

- Experience in designing, building, and maintaining efficient and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources

- Proven track record of identifying and solving problems without step-by-step instructions.

- Experience working with cross-functional stakeholders in a B2B environment.

- Comfort with ambiguous, high-ownership startup settings.

Nice to Have:

- Experience in healthcare, healthtech, or other regulated industries.

- Exposure to EHR, CRM, or telephony datasets.

- Background in B2C analytics with transferable customer empathy skills.

- Ability to work with conversational AI transcripts and extract business insights.

What We're Looking For?

- Rigor - You think in first, second, and third-order effects.

- Context-Driven - You seek to understand the "why" behind the data.

- Hands-On - You're not afraid to roll up your sleeves and crunch numbers yourself.

- Storyteller - You turn raw data into compelling, actionable stories.

- Startup Mindset - You thrive in a fast-changing, high-responsibility environment.

Why Join Us?

- Shape analytics for an AI-first company solving critical healthcare challenges.

- Work directly with founders and senior leadership.

- High ownership, high impact role in a scaling startup.

- Competitive compensation + stock options.