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Зона ответственности и аналитическая роль описаны чётко, стек современный, но работа сразу с несколькими операционными командами может создавать конкурирующие приоритеты.
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Много внутренних заказчиковСовременный стекПонятная зона ответственностиМедицинская аналитика
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Operations Analyst (SQL/dbt/BigQuery/Looker): Building and maintaining operational data models, dashboards, and metrics for clinical operations, customer care, health coaching, pharmacy, and fulfilment with an accent on queues, SLAs, productivity, forecasting, and patient journey analysis. Focus on explaining metric changes, designing capacity plans, identifying onboarding drop-off, and maintaining trustworthy reporting for special category health data under UK GDPR.
Location: London, United Kingdom; hybrid workplace.
Company
hirify.global operates clinical operations, customer care, health coaching, pharmacy, and fulfilment functions supported by operational analytics.
What you will do
Partner with clinical operations, customer care, health coaching, pharmacy, and fulfilment teams, balancing priorities and communicating timelines.
Build and maintain operational data models in dbt on BigQuery and Looker views, explores, and dashboards.
Own definitions and reporting for 100+ metrics covering wait times, SLAs, productivity, audit scores, on-time dispatch, and stock cover.
Support demand forecasting, capacity planning, target setting, and SLA tracking from measured baselines.
Investigate metric changes, data quality issues, patient journey delays, and onboarding drop-off, then communicate actionable findings.
Help managers use dashboards, collaborate with data engineering on new data sources, and provide occasional commercial and finance analysis.
Requirements
2–5 years of experience as an analyst or analytics engineer, ideally in operations, customer service, healthcare, or e-commerce fulfilment.
Expert SQL and hands-on experience building data models in dbt or a similar tool, plus Looker/LookML or another BI tool.
Comfort with git and refining work before review.
Understanding of operational metrics including queues, backlogs, wait times, SLAs, utilisation, productivity, and forecasting.
Ability to plan and prioritise work across several teams with competing requests and understand how analytics contributes to wider business objectives.
Strong communication and relationship-building skills, including presenting complex analysis to senior leaders and explaining metrics to non-data managers.
Ability to turn vague questions into clear answers.
Understanding of data protection and willingness to learn how UK GDPR applies to special category health data.
Nice to have
Background in pharmacy, clinical operations, or healthcare operations.
Workforce planning experience.
Experience with Intercom, rota or inventory systems, or Amplitude.
Experience using AI assistants for analysis and code.
Culture & Benefits
Permanent employment in a hybrid workplace.
Work with special category health data, reporting in aggregate and following UK GDPR.
Diversity initiatives at hirify.global.
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