Data Health Analyst at Doctify maintaining a world-class database to support healthcare services. Enriching data, automating processes, and collaborating with third-party suppliers for accuracy.
Responsibilities
Processing and formatting data into the Doctify database creating a clean, efficient and actionable store of data.
Finding new methods to automate profile enrichment
Working with third party suppliers to improve our data
Rigorously checking the data we have for inaccuracies and duplicates from the, data that we acquire, ensuring it’s filled correctly, and that it’s accurate, and helpful to patients
Requirements
Experience with LLMs (e.g., ChatGPT, Google Gemini or similar), including general usage, API implementation, and prompt construction
Strong Excel proficiency, including formulas such as VLOOKUPs and handling large datasets
Python skills, with experience in data analysis (Pandas), API integration, and preferably web scraping (Beautiful Soup 4, Selenium, Playwright, Requests)
Nice to have, but not essential experience would be - SQL experience, including writing and optimising queries and/or experience with Salesforce, HubSpot, or similar CRM platforms
Benefits
28 days annual leave (25 + 3 between Christmas and New Year), earning up to 30 days leave with tenure
2 weeks of remote work annually (within 3-hour time zone of HQ)
Hybrid working model
Enhanced Parental Leave
2 weeks Peternity Leave to welcome your newest furry family member
Medicash health cash plan
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
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
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