Sword HealthProduct Data Analyst
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
At Sword Health, data isn’t just support — it’s how we improve care. As a Product Data Analyst, you’ll work at the intersection of data, product, and clinical impact. You’ll partner closely with product managers, designers, engineers, and clinicians to understand how members experience their pelvic health journey — and how we can make it better.
Your role is to turn real user behaviour into meaningful insights that improve engagement, adherence, and health outcomes. From how members onboard, to how they progress through their programs, your work will help shape the decisions that impact thousands of women every day.You’ll be responsible for the full analytics cycle — helping define what to measure, ensuring we capture the right data, analyzing what’s happening, and translating it into clear recommendations that guide the product forward.
Bloom is a women's health solution that blends AI and clinical expertise to support women in every stage of life, anytime, anywhere. As a Head of Product for Bloom, you’ll play a crucial role in shaping the future of the product that has already changed the lives of thousands of women across the U.S. Your mission will be to lead Bloom's innovative, user-centric product, ensuring a seamless and engaging experience that drives high patient engagement and meaningful improvements in women’s health outcomes.
To get to know more about our Tech Stack, check here.
AI Proficiency at Sword Health
AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
Explorer (Level 1) — Uses AI daily to boost personal productivity
Builder (Level 2) — Creates workflows and tools that elevate the whole team
Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
What you’ll be doing
Assist in key strategic product projects, including performance analysis, data visualization, and strategic planning.
Help define and track the key metrics that show how our product is performing
Work closely with product managers and engineers to make sure new features are set up to collect the right data from the start
Run experiments (like A/B tests) to understand what improvements actually make a difference
Analyse how members use our the product — where they drop off, what keeps them engaged, and where we can improve
Turn data into clear insights and recommendations that help guide product decisions
Collaborate with data and engineering teams to ensure our data is reliable and easy to use
Help maintain clear definitions of key metrics so everyone is aligned
Support the team in understanding different user groups and behaviours as we grow
What you need to have
Around 3+ years of experience in product, growth, data analytics, consultancy
Strong skills working with data (SQL experience is a plus)
Experience building dashboards or working with BI tools (Looker, Tableau, Metabase, etc.)
Experience running experiments and interpreting results in a real-world context
Ability to work independently while collaborating closely with product, clinical, and engineering teams
Strong communication skills — you can explain insights clearly to both technical teams and non-technical stakeholders (including clinicians)
EUR 42,000 - 66,000 a year
*This range includes base, variable and equity
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.
Portugal - Sword Benefits & Perks:
• Health, dental and vision insurance
• Meal allowance
• Equity shares
• Remote work allowance
• Flexible working hours
• Work from home
• Discretionary vacation
• Snacks and beverages
Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.