Analytics Engineer London

Навыки

• Amplitude
• API (интеграции)
• AWS
• Azure
• B2C-продажи
• CI/CD
• C++

О компании и продукте

• They are investing heavily in their data capabilities and are building out a modern data stack to support smarter decision making across the business. The data team is still in its early stages, giving you the chance to help shape standards, strengthen their Databricks environment, and unlock more value from their growing data estate. Collaboration is central to how they work, with strong relationships across Technology, Finance, Operations and other key teams.
• Develop and maintain data pipelines across Databricks, Azure Data Factory and API-based integrations.
• Work across transformation layers in Databricks, ensuring clean, well-modelled datasets.
• Build and extend the Power BI data model, enabling reliable reporting and analytics.

Задачи

• Owning analysis from initial hypothesis through to insight and recommendation
• Analysing user journeys, behaviour, conversion and engagement to identify opportunities to improve the product
• Designing and evaluating A/B tests, control groups and experiments to understand incremental impact
• Using product analytics tools such as Amplitude
• Writing advanced SQL and using Python for deeper analysis and automation
• Building and maintaining analytical data models using dbt
• Creating self-service reporting around product performance, experimentation and key metrics
• Working with external datasets and APIs to improve the quality, coverage and accuracy of partner/business data
• Identifying data quality issues, matching records and investigating root causes
• Exploring opportunities to use AI/LLMs and automation to improve analytical and data processes
• Lead analytics projects and take ownership of delivery
• Analyse campaign and customer journey performance
• Use SQL and/or Python to generate actionable insights
• Work with tools such as GA4, Adobe Analytics or similar
• Build and develop dashboards and reporting
• Present findings to clients and senior stakeholders
• Help shape analytics roadmaps and identify opportunities for growth
• Mentor and support junior analysts
• Drug Response Prediction
• Lead the design and execution of computational approaches to predict drug response across patient populations
• Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
• Identify biological and clinical signals that differentiate responders from non-responders
• Translate modeling outputs into actionable biological and clinical insights
• Data & Analysis
• Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale

Требования

• You’ll ideally come from a product-led, B2C, marketplace, subscription, e-commerce or digitally native environment , with experience using data to directly influence product and commercial decisions
• Key experience
• Strong hands-on SQL
• Strong Python experience
• Hands-on experience with dbt
• Experience with a product analytics or experimentation platform such as Amplitude, Mixpanel, Optimizely, OpenPanel, PostHog, Heap or similar
• Strong A/B testing and experimentation experience
• Dashboarding experience with Lightdash, Tableau or Power BI
• Good statistical understanding, including control/holdout groups and measuring incremental impact
• Experience analysing customer/user behaviour, journeys, conversion or engagement
• Ability to translate complex analysis into clear recommendations for Product and Commercial stakeholders
• Experience working with APIs, data quality, matching or enrichment would be beneficial
• An interest in AI/LLMs and how they can improve analytics workflows is a nice to have rather than essential
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• Azure Cloud Engineer
• Abingdon
• Data Engineering
• Permanent
• Abingdon, Oxfordshire
• Abingdon, Oxfordshire (1 day a week in office)
• Looking to take ownership of real Azure infrastructure while broadening your exposure to cloud architecture, AI initiatives, and large-scale transformation projects?
• This is an opportunity to join a growing cloud team where you’ll have a direct impact on both internal platforms and client-facing technology programmes
• 10+ years in analytics/data engineering

Условия

• The successful Software Engineer will receive the following benefits
• Salary up to £200,000 – depending on experience
• The successful Azure Cloud Engineer will receive the following benefits
• Salary between £40,000 – £50,000 – depending on experience
• Up to £44,000 base salary
• 600 annual learning and development budget
• Senior mentorship and career development opportunities
• Hybrid working model (4 days in office)
• Work abroad policy allowing up to one week per year overseas
• The successful Lead Data Engineer will receive the following benefits
• Salary up to £85,000 – depending on experience
• If you enjoy ownership, influence, and hands-on technical work across Databricks, data modelling, and pipeline development, this role offers genuine impact and long-term career growth

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