interactive investor
interactive investor
interactive investor is a UK investment platform that helps individuals and families manage their long-term finances. Founded in 1998, the company provides access to investment accounts including Stocks & Shares ISAs, Self-Invested Personal Pensions (SIPPs), and Trading Accounts, with a broad selection of shares, funds, and ETFs. Its platform serves more than 420,000 investors and combines investment access with low-cost options and market insights designed to support informed financial decisions.

Data Analyst, Manchester Hybrid – interactive investor

Use analytics, reporting, and predictive techniques to improve customer experiences, product performance, and business decisions at interactive investor. The role supports data-led initiatives across the company’s UK investment platform.

Description

  • Extract and analyse data from data lakes and other relevant sources to inform business decisions and strategy
  • Build, maintain, and automate accurate, relevant BI and MI reports
  • Automate reporting with SQL, Python, Power BI, and related tools
  • Work with Product, Commercial, Technology, Customer Services, and Operations teams on data requirements and product or service improvements
  • Define and monitor company-wide KPIs and analytical insights
  • Use SQL, Snowflake, Power BI, Usabilla, Google Analytics, Optimizely, ContentSquare, and Hotjar for analysis and reporting
  • Apply statistical modelling, segmentation, time series, and predictive methods to understand customer behaviour and business impact
  • Use existing artificial intelligence and machine learning platforms as a power user
  • Analyse performance across channels and systems
  • Support colleagues through mentoring and guidance on analytical best practices
  • Follow data protection legislation and company policies
  • Embed analytical findings into business processes and strategic programmes
  • Keep current with analytics tools, methods, trends, and best practices
  • Track and report on relevant KPIs
  • Deliver innovative solutions and ongoing process improvements
  • Contribute to problem-solving, knowledge-sharing, and collaborative projects
  • Report to the Data Analytics and Insights Manager

Requirements

  • Substantial analytics experience, preferably in a commercial or digital product or service environment
  • Proficiency in SQL, data visualisation tools such as Streamlit, Python, Power BI, Data Studio, Looker, or GA4 Reports, and dashboard development
  • Experience with Google Marketing Cloud tools, including Google Tag Manager, Google Analytics, and Google Search Console
  • Understanding of statistical concepts, methods, and methodologies, with experience in data modelling and architecture
  • Experience applying data science methods such as statistical modelling, segmentation, time series analysis, predictive modelling, or related techniques
  • Experience using artificial intelligence and machine learning platforms and tools as a power user
  • Clear communication and presentation skills, with the ability to explain complex data as actionable insight
  • Strong stakeholder management capabilities
  • A proactive, approachable style with the ability to build relationships across teams
  • Excellent problem-solving, critical thinking, and attention to detail
  • Ability to balance competing priorities and meet delivery deadlines
  • Understanding of KPIs and measures of success
  • Experience contributing to data projects
  • Investment industry experience or a strong interest in financial markets is desirable
  • Interest in investing, including knowledge of investment products and market trends, is desirable
  • Python or another programming language for data analysis is desirable
  • Experience with A/B testing, funnel optimisation, and conversion rate optimisation is desirable
  • Familiarity with machine learning methods and predictive modelling applications is desirable
  • Familiarity with Jira, Confluence, or comparable project management tools is desirable

Benefits

  • Group Personal Pension Plan with an 8% employer contribution and 4% employee contribution
  • Life Assurance and Group Income Protection
  • Private Medical Insurance through Bupa
  • 25 days of annual leave plus bank holidays
  • Staff discounts on investment products
  • Personal and Well-being Fund supporting physical and mental health
  • Retail discounts across high-street and online retailers
  • Voluntary flexible benefits that can be tailored to individual needs

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