Platos Health is a technology startup on a mission to prevent diseases and advance equality of opportunities in healthcare. Today, hospitals & clinicians use the Platos care platform to monitor patients’ holistic health while facilitating data-driven, personalised & proactive care from anywhere.
Role Mission
- Own product analytics and health insight generation at Platos.
- This role sits at the intersection of data, product, and health intelligence, translating complex, multi-source health data into insights that inform product decisions, support health outcomes reporting, and enable teams across the organisation with reliable, self-serve analytics.
Core Responsibilities
Product Analytics & Insights (Primary Responsibility)
- Own product dashboards covering activation, engagement, retention, and feature usage.
- Conduct behavioural analyses across the Platos app, including cohort, funnel, and segmentation analysis.
- Define and maintain core product metrics and KPI definitions.
- Produce regular (monthly and quarterly) product insight reports that inform product decisions, experiments, and prioritisation.
- Identify trends, risks, and opportunities across user behaviour, signals, and outcomes.
- Partner with Engineering to define event tracking specifications and ensure product metrics are measured consistently and correctly.
AI-Generated Insight Review & Quality Control
- Review and evaluate AI-generated user-facing insights and summaries for accuracy, clarity, and safety.
- Maintain structured test cases and examples to validate insight quality.
- Flag incorrect, misleading, or potentially unsafe outputs.
- Work with engineering and product teams to improve insight logic, prompts, and rule-based checks.
Commercial & Operations Dashboard Enablement
- Build and maintain dashboards for sales, onboarding, and go-to-market performance.
- Partner with Marketing to track campaign performance, funnel metrics, and GTM effectiveness
- Ensure dashboards are intuitive, clearly documented, and usable without analyst support.
- Standardise metrics and dashboard structures across teams and markets.
- Support deeper analysis only when clearly scoped and requested.
Data Cleaning, Structuring & Quality
- Clean, structure, and prepare data from app events, devices, labs, CRM, and pilot markets.
- Maintain the data dictionary and metric definitions.
- Implement basic data quality checks (completeness, consistency, accuracy).
- Document data sources, transformations, and assumptions to ensure clarity and reuse.
Health Outcomes Reporting
- Execute periodic health outcomes analyses (e.g. trends in body composition, blood pressure, or related indicators).
- Prepare structured outcomes reports in collaboration with Platos’ Scientific Advisory Board.
- Support interpretation of outcomes data by providing clear summaries, charts, and context.
- Ensure outcomes reporting is consistent, reproducible, and evidence-aligned.
Pilot Market & Expansion Support
- Support data setup and validation for new pilot markets.
- Apply standard KPIs and dashboards across markets to ensure comparability.
- Identify data gaps or integrity issues during pilot roll-outs and escalate early.
Data Governance & Compliance Support
- Maintain data handling documentation and records of processing.
- Track data flows and access logs across systems.
- Support evidence collection for NDPR, ISO27001, and market-specific requirements.
- Escalate risks and gaps to Operations or Compliance leadership
Requirements
Required
- Strong analytical skills (SQL + Python or similar).
- Experience building dashboards (Spreadsheets, Power BI, Looker, Tableau, or equivalent).
- Experience working with web and product analytics tools (e.g. Google Analytics 4, Microsoft Clarity, Heap, or equivalent).
- Comfort working with real-world, imperfect data.
- Ability to work independently on defined problem spaces.
- Strong documentation and communication skills.
- Interest in health, behaviour, or data-driven products.
Nice to Have
- Exposure to health, wellness, or outcomes-related data.
- Familiarity with data privacy or security concepts.
- Experience reviewing or validating AI-generated content.
Method of Application
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