Data Health Analyst

Operating within a global healthcare platform, this Data Analyst position focuses on using Python (Pandas) and LLM APIs to build automated profile-enrichment pipelines and maintain high data-quality standards.

We’re Doctify

Doctify is the global platform built by doctors for doctors, on a mission to build the largest, most trusted global network of validated healthcare providers and experts. We connect patients with the right doctors, and doctors with respected peers, to ensure better care worldwide. Through verified patient reviews and professional skill endorsements, Doctify creates unmatched credibility for providers and empowers patients to choose care with confidence.

Founded in 2015 and backed by $30m+ in funding, Doctify operates across 7 countries. We are uniting the global healthcare community, one trusted connection at a time. We do things differently here at Doctify, we are boldly leading a digital revolution in healthcare and are confident in our mission.

About The Role

We’re looking for a technically strong Data Analyst to help build and maintain a world-class database that powers Doctify’s growth. This is a hands-on, technical role. Industry experience is not required, so recent graduates are welcome to apply, but we’re looking for someone with genuine technical depth who can work independently, bring their own ideas for automation, and raise the standard of the data we hold.

You’ll be responsible for

• Processing and formatting data into the Doctify database, creating a clean, efficient and actionable store of data.

• Designing and building new methods to automate profile enrichment at scale.

• Working with third-party data suppliers to source, evaluate and improve our data.

• Rigorously checking the data we hold and acquire for inaccuracies and duplicates, ensuring records are complete, accurate, and genuinely helpful to patients.

• Defining and monitoring data-quality standards, and proactively flagging issues before they reach the sales, marketing or patient-facing teams.

About you

You will have -

• Education: A degree in a STEM discipline (e.g. Computer Science, Mathematics, Statistics, Engineering, Physical or Life Sciences). No prior industry experience is required, and recent graduates are encouraged to apply.

• Python: Strong working proficiency in Python for data analysis (Pandas), including writing your own scripts. This can be demonstrated through study, personal projects or work.

• Excel: Advanced Excel, including lookups (VLOOKUP/XLOOKUP), data manipulation across large datasets, and confidence joining, splitting and reshaping data.

• LLMs: Hands-on experience using LLMs (ChatGPT, Gemini or similar) both through the interface and via API, including practical prompt construction.

What We Offer

At Doctify, we shape careers with purpose. Our benefits are designed to fuel your growth, flexibility, and wellbeing.

🌴 Time off, flexibility & balance

• 28 days annual leave (25 + 3 between Christmas and New Year), earning up to 30 days leave with tenure

• 2 weeks of remote working annually (within 3-hour time zone of HQ)

• Hybrid working model

• Enhanced Parental Leave

• Medicash health cash plan

⭐ Setting you up for success

• Competitive, benchmarked compensation

• 3-month immersive onboarding experience

• Ongoing learning through expert-led sessions, leadership insights, and soft-skill development

• Clear internal mobility pathways to accelerate your career

💙 The uniquely Doctify experience

• Daily team huddles to connect, share wins and spark ideas

• Regional Lunch Clubs & team socials powered by our Fun Police

• Quarterly Doctifier nominated Impact Awards

• Employee referral bonus: £700 (or local equivalent) per hire

🌍 Our Commitment to DEIB

Diversity, equity, inclusion and belonging aren’t just values. They’re at the core of what makes us Uniquely Doctify. These principles shape how we work, how we work, how we build our teams, how we design our policies, and how we bring our mission to life.

As a global team, we know that diverse perspectives drive innovation and lead to better outcomes for patients, providers and each other. We’re committed to creating a fair, inclusive environment where everyone is heard, respected and empowered to thrive.