Harnham

Analytics Engineer (12 month FTC) Leeds, West Yorkshire

Senior · Гибрид · Лидс, Великобритания · Английский B2

Навыки

  • A/B-тесты
  • Amplitude
  • AWS
  • Azure
  • B2C-продажи
  • CI/CD
  • C++
Ещё 17
  • C#
  • Data Governance
  • Data Quality
  • Databricks
  • dbt
  • E-commerce
  • ETL / ELT
  • Google Cloud
  • GitHub
  • Java
  • Mixpanel
  • Room / Realm / CoreData
  • Python
  • SOLID и паттерны
  • SQL
  • Tableau
  • Terraform

О компании и продукте

  • They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.
  • As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.
  • Specifically, you can expect to be involved in the following:
  • Take ownership of in-flight data projects, ensuring successful delivery and continuity.

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 Analytics Engineer will receive the following benefits
  • Salary between £70,000 - £90,000 - depending on experience
  • 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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