WHO WE ARE
interactive investor is an award‑winning investment platform that puts its customers in control of their financial future. We’ve been helping investors for over 25 years, and are now the UK’s number one flat‑fee investment platform with assets under administration approaching £70 billion and over 500,000 customers. We provide a secure home for pensions, ISAs and investments, offering a wide choice of over 40,000 UK and international investment options, including shares, funds, trusts and ETFs. We also provide impartial, expert content from award‑winning journalists, an engaged community of investors, and daily newsletters and insights.
PURPOSE OF ROLE
As a Data Analyst in the Data and Innovation team, you will be a key driver of the organisation’s data‑centric culture, harnessing data to inform strategic business decisions. You will synthesise complex data sets into clear, actionable insights that shape product optimisation, customer engagement and operational efficiency. Reporting to the Data Analytics and Insights Manager, you will lead data storytelling, influence product and service direction by understanding customer behaviours and market trends, foster a collaborative environment, and contribute to a centralised data analytics framework.
Key responsibilities include:
- Analyse data from our data lakes and relevant sources to provide actionable insights for business decisions and strategy formulation.
- Develop, maintain and automate BI and MI reports, ensuring data accuracy and relevance.
- Automate reporting capabilities using SQL, Python, Power BI and other tools to streamline the data analysis process.
- Collaborate with stakeholders from Product, Commercial, Technology, Customer Services and Operations to support their data needs and encourage a data‑led culture.
- Develop and track KPIs and data insights across the company, ensuring a consistent set of measures for decision‑making.
- Utilise analytics platforms such as SQL, Snowflake, Power BI, Usabilla, Google Analytics, Optimizely, ContentSquare and Hotjar for in‑depth analysis and reporting.
- Apply data science methodologies – statistical modelling, segmentation analysis, time‑series analysis and predictive techniques – to analyse customer behaviour patterns and assess business impacts.
- Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity.
- Conduct comprehensive cross‑channel analysis and collaborate with subject matter experts.
- Mentor and support team members in best practices and analytical techniques.
- Ensure data protection laws and company policies are adhered to, maintaining privacy and security standards.
- Engage with various departments to integrate data‑driven insights into business processes and strategic initiatives.
- Commit to ongoing professional development and staying current with industry trends, tools and best practices.
- Track and report on key performance indicators relevant to each domain, contributing to overall success metrics.
- Proactively seek and implement innovative solutions to enhance analytics capabilities and drive continuous improvement.
- Participate in team problem‑solving sessions, share knowledge and collaborate on projects to achieve common goals.
SKILLS & EXPERIENCE REQUIRED
Essential
- Strong background in analytics, ideally within a commercial or digital product/service context.
- Proficiency in SQL and data visualisation tools (e.g., Streamlit/Python, Power BI, Data Studio/Looker, GA4 Reports) and dashboard/report creation.
- Experience with Google Marketing Cloud, including Google Tag Manager, Google Analytics and Google Search Console.
- Knowledge of statistical concepts, techniques and methodologies, and experience with data modelling and architecture.
- Experience with data science techniques and methodologies such as statistical modelling, segmentation analysis, time‑series analysis and predictive modelling approaches.
- AI/ML platform proficiency: experience using AI and machine learning platforms and tools as a power user to enhance analytical capabilities.
- Effective communication and presentation skills, able to transform complex data into clear insights.
- Strong stakeholder management skills and the ability to build relationships across teams.
- Excellent problem‑solving, critical thinking and attention to detail.
- Ability to manage multiple priorities and deliver results within deadlines.
- Understanding of KPIs and success measures.
- Experience in data projects.
Desirable
- Experience in the investment industry or strong interest in financial markets.
- Proficiency in Python or other languages for data analysis.
- Experience with A/B testing, funnel optimisation and conversion rate optimisation techniques.
- Familiarity with machine learning techniques and their application in predictive modelling.
- Experience with Jira/Confluence or similar project management tools.
BENEFITS
- Group Personal Pension Plan – 8 % employer contribution and 4 % employee contribution.
- Life Assurance and Group Income Protection.
- Private Medical Insurance – provided by Bupa.
- 25 days annual leave plus bank holidays.
- Staff discounts on our investment products.
- Personal & Well‑being Fund – supporting physical and mental wellness.
- Retail discounts at a wide range of high‑street and online retailers.
- Voluntary flexible benefits – tailor your benefits to suit your lifestyle.
PLEASE NOTE
We will do our utmost to respond to all applicants. However, due to the high volume of applications, if you haven’t been contacted within 30 days of application please consider yourself unsuccessful.
interactive investor operates in accordance with the UK Equality Act 2010. We welcome applications from individuals of all ages, disabilities, gender identities, marital status, pregnancy/maternity, race, religion or belief, sex and sexual orientation, and are committed to treating all applicants fairly and making reasonable adjustments where needed.
