Data Analyst (Product & Health Insights) at Platos Health

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.