Analytics Engineer (12-month FTC) Manchester, Greater Manchester

Навыки

• A/B-тесты
• Amplitude
• AWS
• Azure
• B2C-продажи
• CI/CD
• C++

О компании и продукте

• They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.
• Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.
• As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.
• Specifically, you can expect to be involved in the following:

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
• View Jobs
• View Jobs -->
• " class="job_search_share_btn">
• 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

Будет плюсом

• Databricks / lakehouse experience
• Experience with finance / billing data
• Experience in regulated environments (healthcare, finance, etc.)
• What they're looking for A confident, independent analytics engineer
• Someone comfortable stepping into an existing setup and adding value quickly
• Strong attention to quality, documentation, and best practice
• Comfortable working in a collaborative, low‑ego environment
• Why this role High ownership of a critical part of the data platform
• Work on meaningful projects in a mission‑driven organisation
• Modern tech stack with strong engineering practices
• Fully remote, flexible working
• Opportunity to leave a lasting impact on how the platform is built
• Interview process Initial conversation (technical + fit)
• Short SQL/dbt test
• Final technical + values interviews
• Kelsey Norris
• Recruitment Consultant

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
• I'm hiring an Analytics Engineer on a 12‑month maternity cover FTC for a purpose‑driven digital health organisation
• The company A fast‑growing digital healthcare provider working with NHS trusts, insurers, and private healthcare organisations
• They're building a modern data platform to support clinical outcomes and operational performance, with a strong focus on "data for good" and real‑world impact
• The role You'll step into a Senior Analytics Engineering seat , taking ownership of core dbt models and pipelines that underpin business‑critical reporting and billing processes
• This role is central to ensuring continuity - keeping momentum on existing builds while contributing to new modelling work
• What you'll be doing Own and deliver in‑flight data projects (including billing automation pipelines)

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.