Harnham

BI Analyst London

Senior · Гибрид · Лондон, Великобритания · Английский B2

Навыки

  • A/B-тесты
  • Amplitude
  • AWS
  • Azure
  • B2C-продажи
  • BI-инструменты
  • CI/CD
Ещё 17
  • C++
  • C#
  • Data Quality
  • Databricks
  • dbt
  • E-commerce
  • ETL / ELT
  • Google Cloud
  • GitHub
  • Java
  • Mixpanel
  • Power BI
  • Python
  • React
  • SQL
  • Tableau
  • Terraform

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

  • The BI Analyst will
  • Deliver analytics projects that combine reporting, visualisation, and insight generation
  • Translate complex data into clear narratives that answer what the data means and why it matters
  • Build dashboards and analytical outputs using tools such as Tableau and similar platforms
  • Work on projects such as location strategy for retailers or demand analysis for public and education bodies
  • Collaborate with consultants and stakeholders across the wider business
  • Your Skills and Experience
  • Strong commercial experience using Python or SQL for analysis
  • Experience with data visualisation tools (Power BI or Tableau) and presenting insights clearly
  • Ability to communicate complex findings to non‑technical stakeholders
  • A strong academic background in a STEM subject
  • Exposure to consulting or client‑facing project work is beneficial
  • Around 2 years of commercial experience as a minimum
  • 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

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 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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