Analytics Engineer (DBT) London

Навыки

• A/B-тесты
• Amplitude
• B2C-продажи
• CJM / JTBD
• Customer Success
• Дашборды и витрины
• Анализ данных

О компании и продукте

• Our client is a fast-growing tech business that has expanded significantly in recent years, launching new products and securing major strategic partnerships. As they continue to scale, they’re investing heavily in their technology function and are looking for ambitious engineers who want to make a tangible impact within a collaborative and high-performing environment.
• Build and maintain software solutions that support the deployment of pricing and data science models into production
• Develop scalable systems and pipelines that are reliable and operationally ready
• Work closely with engineering, analytics, and data teams to deliver business-critical projects

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

• Extensive experience operating within Snowflake environments
• Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design
• Proficiency in SQL and dbt, with a strong understanding of data modeling best practices
• Strong communication skills with the ability to translate complex needs into elegant data solutions
• Focus on usability, documentation, and data clarity
• Comfortable working independently in a dynamic, fast-changing environment
• 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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• Graduate Data Engineer
• Data Engineering
• Permanent

Будет плюсом

• Experience rebuilding or refactoring a Looker instance from scratch
• Familiarity with Snowflake performance tuning and cost optimization
• Experience scaling analytics across a cross-functional organisation
• Integrating financial/ERP/CRM/payment systems (NetSuite, Salesforce, or similar)
• Aggregating from diverse sources, including APIs, geospatial imagery, unstructured web data, and public government records
• Exposure to feature engineering, forecasting, or AI-adjacent analytics
• Curiosity about AI tooling. No expertise needed, just a willingness to work smarter with it
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• Product Marketing Manager – Mobile Gaming
• Advanced Analytics & Marketing Insights
• Permanent
• Miami, Florida
• Location: Miami, FL (Hybrid)
• Job type: Full-time, Permanent
• We’re partnering with a leading mobile game studio in Miami, part of a major international gaming group, to hire a Product Marketing Manager for its flagship title
• This is a rare opportunity to own the full player journey for one of the most recognizable games in its genre, from first ad impression to long-term retention, and turn new content launches into viral cultural moments

Условия

• 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
• Working in a fast-paced, collaborative, and remote-first environment, you'll make a lasting impact on how data empowers the organisation
• THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker
• You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt
• You'll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient
• Your responsibilities will include
• Rebuilding LookML models to reflect real-world business processes and logic
• Designing and implementing dbt models that power clean, consistent metrics
• Salary: $140,000-170,000

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