2 дня назад
Digital Analytics Lead
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Digital Analytics Lead (Amplitude/Snowflake): Leading digital analytics across web, app, marketing, and client touchpoints with an accent on measurement strategy, tagging frameworks, dashboards, and advanced analysis. Focus on coaching analysts, embedding analytics into experimentation and optimisation, and ensuring privacy-aware data products support commercial decisions.
Location: Bristol head office, BS1 5HL; hybrid work with attendance in the office 2 days a week
Company
is a UK investment platform helping private investors save and invest for the future.
What you will do
- Lead the Digital Analytics team and deliver insight across digital journeys, marketing activity, and client touchpoints.
- Own event design, tagging frameworks, measurement strategy, data quality standards, and analytics governance across web, app, and related platforms.
- Build dashboards and data products that enable self-service analytics and support reporting, experimentation, activation, and modelling.
- Perform advanced analysis across digital and non-digital data to identify behavioural patterns, commercial opportunities, and conversion optimisation initiatives.
- Partner with Product, Digital, Marketing, Engineering, Privacy, and Risk teams to embed compliant analytics into delivery and roadmap planning.
- Coach analysts, improve team capability, prioritise the analytics backlog, and evolve tooling and ways of working.
Requirements
- Proven experience leading a Digital Analytics team and developing analytical capability.
- Strong hands-on and strategic experience with advanced SQL, Python, Amplitude Analytics, web and app analytics, Qualtrics, and cloud data platforms such as Snowflake.
- Deep expertise in event-based measurement, tracking plans, data layers, and tagging strategies.
- Experience with commercial analysis, behavioural data, conversion rate optimisation, dashboards, and self-service analytics.
- Strong stakeholder partnering and data storytelling skills, including collaboration with Product, Digital, Marketing, and Engineering.
- Understanding of data quality, consent, privacy-by-design, security, and regulatory standards in a regulated environment; employment sponsorship is not available.
Nice to have
- Experience with Informatica, Collibra, Precisely, or Databricks.
- Experience creating data features for data science and AI products.
Culture & Benefits
- Permanent full-time schedule of 37.5 hours per week, Monday to Friday.
- Flexible and hybrid working options.
- Annual bonus, annual pay review, 25 days of holiday plus bank holidays, and additional holiday purchase options.
- Enhanced parental leave, pension contributions of up to 11%, income protection, life insurance, and private medical insurance.
- Health, wellbeing, fitness, volunteering, and commuter support programmes.
Hiring process
- Two interview stages including technical competency-based questions and a scenario task.
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