Analytics Engineer London

Навыки

• Airflow
• Amplitude
• AWS
• Azure
• B2C-продажи
• BigQuery
• CI/CD

О компании и продукте

• This established Pharma brand is known for its innovation and commitment to delivering seamless customer experiences through data. With a focus on modernising its data platforms, the company is investing in Snowflake and cloud-native tooling to better understand customer journeys, improve operations, and fuel growth. Contractors and perm hires we've placed here consistently highlight the collaborative culture, exciting technical challenges, and strong support from leadership.
• THE ROLE As a Analytics Engineer, you will play a crucial role in a data transformation program, focusing on optimising data pipelines and enabling cloud-driven insights. You will also be responsible for post-project documentation, ensuring clear communication with non-technical stakeholders.
• Your key responsibilities will include:
• Designing and implementing a BigQuery/Snowflake-based data warehouse, ensuring scalability and efficiency.

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

• To succeed in this role, you should have
• Strong commercial experience with BigQuery/Snowflake and its ecosystem
• Proficiency in SQL for data modelling and transformation within BigQuerySnowflake
• Experience with dbt to develop scalable data pipelines
• Knowledge of ELT processes and best practices for cloud-based data architecture
• Hands-on experience with performance tuning and query optimisation in BigQuery/Snowflake
• Familiarity with cloud platforms (AWS/GCP/Azure) and their integration with Snowflake
• 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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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

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