Analytics Engineer (12-month FTC) London

Навыки

• A/B-тесты
• Amplitude
• AWS
• B2C-продажи
• CJM / JTBD
• Анализ данных
• Data Governance

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

• The Analytics Engineer will
• Own and deliver in-flight data modelling projects, ensuring continuity and completion
• Design and maintain dbt models including fact tables, dimensions, and metric layers
• Support and optimisie critical data pipelines, particularly around billing and reporting workflows
• Collaborate closely with data engineers to manage data flows across the lakehouse architecture
• Review and improve SQL and dbt work produced by analysts
• Build new scalable data models and contributing to long-term platform development
• Work autonomously within a fast-moving, evolving data environment
• Your Skills & Experience
• Advanced SQL capability with the ability to design efficient, scalable queries
• Experience working with Python within a cloud-based data platform
• Strong understanding of dimensional modelling and star schema design
• Exposure to modern lakehouse environments such as Databricks is beneficial
• Ability to work effectively in ambiguity and contribute in less structured environments
• Comfortable working autonomously within a small, high-impact team
• Experience in regulated environments or data governance-heavy organisations is advantageous
• Jack Taylor
• Recruitment Consultant
• 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

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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• Graduate Data Engineer
• Data Engineering
• Permanent
• This is an exciting opportunity to join a rapidly growing Tech business where you’ll help build the systems that power key commercial decisions
• You’ll work on high-impact engineering projects, gaining exposure to data, analytics, and pricing functions while taking real ownership from day one
• 10+ years in analytics/data engineering
• 5+ years leading and growing technical teams
• Proven track record delivering both internal and client-facing analytics products
• Deep expertise with Snowflake and fluency across at least two major cloud providers (AWS, Azure, GCP)

Будет плюсом

• 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
• Salary: $140,000-170,000

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