Senior Data Analytics Lead

About Hilo

Imagine leveraging your expertise in data analytics and business intelligence to directly shape how a fast-growing healthtech company makes decisions that impact millions of people. Hilo by Aktiia is revolutionising cardiovascular health monitoring with the world’s first continuous blood pressure monitor. Our solution empowers patients and physicians with unprecedented insights into blood-pressure patterns.

Backed by over $100M in funding from top-tier investors across Europe and the US, Hilo is a fast-moving startup rooted in 20+ years of research at the Swiss Center for Electronics and Microtechnology (CSEM). Our CE-certified, Class IIa medical device is already available in multiple countries, and we continue to expand our technology and market presence.

Hilo is seeking a highly hands‑on Senior Data Analytics Lead to own and advance the company’s BI and analytics ecosystem. You will shape the BI platform (Metabase), ensure data accuracy and consistency, build KPI frameworks and translate complex clinical and operational workflows into actionable insights that drive data‑informed decision‑making across Product, Growth, Marketing and Clinical teams.

This role sits at the centre of how data is used across the organisation, elevating analytics from reporting to a strategic capability by demonstrating its power, evangelising best practices, educating teams and empowering stakeholders to make better decisions with data. It is a rare opportunity to define how analytics is perceived and applied across the company.

While the initial focus is on internal analytics excellence, the role also lays the groundwork for future B2B analytics as Hilo expands its enterprise offerings.

• Foundational position with end‑to‑end ownership of Hilo’s BI platform and analytics foundations
• Pioneering analytics role in Health Tech with direct impact on cardiovascular health
• Hands‑on collaboration with product managers, engineers, clinicians, and external partners
• Opportunity to design, implement, and optimise analytics systems that inform high‑level strategic decisions
• Highly visible, central role responsible for elevating data maturity across the organisation—acting as an analytics thought partner, educator and advocate for data‑driven decision‑making
• Career‑defining opportunity to shape how data and analytics are embedded across Hilo’s culture, processes, and long‑term strategy

• Own, maintain, and enhance Hilo’s BI platform (Metabase) to deliver accurate, consistent, and actionable insights
• Design and refine KPI frameworks, cohort analyses, and operational metrics
• Partner with Product and Clinical teams to define event tracking, analyse user behaviour, and optimise feature adoption, adherence, and operational workflows
• Analyse onboarding funnels, retention, churn, monetisation, and acquisition metrics across Band and Lens products
• Support experimentation frameworks and A/B testing using Statsig or similar tools
• Translate enterprise/B2B requirements into structured, compliant analytics pipelines and dashboards for future scalability
• Provide operational analytics support for the existing B2B platform, including managing partner accounts and data requests, maintaining reporting configurations, and monitoring platform health, data integrity, and overall performance
• Collaborate closely with Engineering, Product, and Growth teams to evolve analytics capabilities
• Operate autonomously as an analyst, project owner, and driver of your work streams, ensuring alignment and quality across stakeholders

• MSc or PhD in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related technical field
• 5+ years of hands‑on experience in data analytics, BI, or product analytics, ideally in SaaS, mobile apps, or Health Tech
• Proven track record building operational dashboards, implementing KPI frameworks, and delivering actionable insights
• Experience with cross‑functional teams (Product, Engineering, Clinical, Growth)
• Strong proficiency in SQL and analytics workflows
• Experience with BI/product analytics tools (Metabase, Amplitude, Mixpanel, Looker); visualization experience (Tableau,…