Data Analyst in Cambridge

TidalSense is a respiratory technology company with a mission to transform the diagnosis, monitoring and management of chronic respiratory conditions, such as asthma and COPD. The company has ambitions to enable a population‑scale change in respiratory care through global deployment of its technologies in both developed and developing countries with poor access to healthcare. TidalSense has launched the first‑of‑its‑kind AI‑driven (software medical device) diagnostic test for COPD which uses the company’s unique, patented, sensor technology embedded in the N‑Tidal Handset.

We are seeking an autonomous and driven Data Analyst to support proactive customer intelligence. We are at an exciting phase in our journey as we transition from a start‑up to a scale‑up. You will be joining a passionate, socially‑motivated and multi‑disciplinary team covering engineers, scientists, clinicians, designers, product and usability specialists. We are seeking someone who is comfortable working in a fast‑paced, agile, and diverse team environment, and who is also committed to our mission to revolutionise respiratory medicine.

Job Purpose
Transform system data into proactive insights that prevent customer‑facing issues. This is a technical, research‑oriented role that bridges the gap between customer operations and software engineering, ensuring that hardware and software performance is optimized and actionable data is accessible via Tableau to support account management and operational excellence.

Key Duties & Responsibilities

• Continuously analyse customer deployment data to identify patterns, anomalies, or potential issues before they impact the user experience.
• Provide clinical and account management teams with concise, data‑driven recommendations to drive customer success and optimise clinical study execution.
• Design, build, and maintain Tableau dashboards that track key metrics and key performance indicators (KPIs) for the hardware and operations teams.
• Query production databases and combine datasets to generate actionable information, and present this in clear, concise and compelling formats to support business operations and customer management.
• Translate operational requirements into technical specifications for the software team, specifically regarding database schema changes or data collection improvements.
• Explore ways to integrate AI/automation into the analytical workflow to enhance efficiency and predictive capabilities as the role evolves.

Skills & Competencies

Essential

• Researcher mindset with the ability to be analytical / curious and dig deep into complex datasets to identify why an issue or pattern occurs.
• Commercial mindset with the ability to understand what data is most likely to be useful to customers / users and for driving customer success.
• Strong command of SQL for complex data extraction and Python for data manipulation and automation. In particular, we seek someone who is AI‑native and who has the competency to, for example, evaluate SQL queries written by LLM.
• Proven ability to create intuitive, high‑impact dashboards in Tableau.
• Ability to explain technical data concepts to non‑technical stakeholders and vice versa.
• Self‑motivated and proactive; able to work independently in a fast‑paced, evolving environment.

Desirable

• Experience with basic machine learning or statistical modelling.
• Familiarity with tools or techniques for parsing unstructured log data.
• A forward‑thinking approach to how AI can augment traditional data analysis.

Qualifications & Experience

Essential

• Bachelor’s degree (or equivalent industry experience) in a quantitative or technical field.
• Demonstrated experience (through professional roles, internships, or significant academic projects) in handling large datasets and generating insights.
• Proficiency in SQL and Python.

Desirable

• Industry experience in a hardware‑centric or IoT environment.
• Basic understanding of relational database architecture, and ability to interrogate and understand database schemas.

Other Requirements

• Legally eligible to work in the UK without sponsorship.
• Will need to be able to work in person in the Cambridge office at least 3 days per week (but ideally more).

Benefits

• Salary £35,000‑45,000 (depending on experience).
• Flexible working hours to support your work preferences.
• Hybrid working as per requirements above.
• 25 days annual leave + 8 public holidays.
• Pension: TidalSense contributes 5% of qualified earnings (increasing to 6% of base pay from H2 2026).
• Private health insurance (from H2 2026).
• Annual performance‑based bonus.
• Discretionary share options scheme.
• Work from abroad for 1 week per year.
• Buy / sell up to 5 days annual leave (pro‑rated).
• Individual personal development budget + dedicated development days.
• Mental Health support: wellbeing support and free 24/7 access to qualified counsellors and advisors.
• Coaching and mentoring.
• Team events and celebrations.
• Beautiful award‑winning Cambridge UK office stocked with quality drinks & snacks.