Product Data Analyst
Quick Summary
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,
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.
To get to know more about our Tech Stack, check here.
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.
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
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)
Location & Eligibility
Listing Details
- Posted
- April 9, 2026
- First seen
- April 9, 2026
- Last seen
- April 28, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 48%
- Scored at
- April 28, 2026
Signal breakdown
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