interactive investor
Data Analyst
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Data Analyst – Hybrid Role (3 Days in Manchester, 2 Days Remote)
About Us
interactive investor is an award-winning investment platform empowering customers to take control of their financial futures.
- Nearly 30 years of experience navigating market fluctuations
- UK’s number one flat-fee investment platform, with £75 billion+ in assets under administration
- Over 450,000 customers served across 20,000+ UK and international investment options
- Trusted for secure pensions, ISAs, and investments, backed by expert content, community insights, and daily financial guidance
Purpose of the Role
As a Data Analyst in the Data and Innovation team, you will be a strategic driver of our data-centric culture, transforming complex datasets into actionable business insights.
Key Responsibilities
- Data-Driven Decision Making: Analyze data from our lakes and various sources to inform strategy, product optimisation, and customer engagement.
- Data Storytelling & Influence: Lead cross-functional discussions to shape products/service direction based on customer behaviour and market trends.
- Centralised Analytics Framework: Develop/maintain systems ensuring data-driven decisions across the company.
- Predictive & Advanced Analytics: Create models to assess potential business impacts.
- Tool & Technique Mastery: Stay current with SQL, Snowflake, Python, Power BI, Google Analytics, and emerging data practices.
- Foster Collaboration: Bridge technical analysis and strategic initiatives while promoting knowledge sharing and improvement.
Your work will deliver enhanced customer experiences, optimised offerings, and measurable growth. You'll help build a legacy of data excellence—positioning interactive investor as a leader in data-led financial platforms.
Responsibilities
Core Tasks
- Data Analysis & Insight Generation
- Extract/analyze data to support strategic decision-making.
- BI & MI Reporting
- Design, automate, and maintain dashboards and reports ensuring clarity and accuracy.
- Reporting Automation
- Use SQL, Python, Power BI to streamline analytical processes.
- Stakeholder Collaboration
- Partner with teams (Product, Commercial, Tech, Customer Services, Operations) to align data needs with org-wide improvements.
- KPI Development & Tracking
- Set/manage key performance metrics and insights across departments.
- Tools & Platform Proficiency
- Leverage: SQL, Snowflake, Power BI, Google Analytics, Usabilla, Optimizely, ContentSquare, Hotjar.
- Data Science & AI
- Apply statistical modeling, segmentation, time series analysis, predictive techniques.
- Be a power user of AI/ML platforms for productivity gains.
- Cross-Channel Analysis
- Integrate multi-system data with subject matter experts.
- Technical Leadership
- Mentor colleagues in best practices and analytical techniques.
- Data Governance & Compliance
- Ensure adherence to privacy/safety regulations.
- Performance & Innovation
- Drive continuous improvement through new analytical tools.
- Teamwork & Problem-Solving
- Collaborate on projects, resolve challenges, and meet deadlines.
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Requirements
Essential Qualifications
- Analytics Background: Preference for experience in commercial/digital products/industries.
- Technical Skills
- SQL, data visualization (Power BI, Google Data Studio, Looker, Streamlit/Python).
- Google Marketing Cloud (Tag Manager, Analytics, Search Console).
- Statistical knowledge and experience in data modeling/architecture.
- Data Science Expertise
- Statistical modeling, segmentation, predictive modeling, time-series analysis.
- Tools for AI/ML Proficiency (use existing platforms to enhance workflows).
- Collaborative & Communication Skills
- Translate complex data into clear, actionable insights for non-technical teams.
- Stakeholder Management
- Build relationships across departments.
- Problem-Solving & Attention to Detail
- Multitasking while delivering high-quality results under deadlines.
- KPI & Project Experience
- Familiarity with success metrics and hands-on project work.
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Desirable Qualifications
- Financial Industry Knowledge
- Experience/tested interest in investments, products, market trends.
- Programming Proficiency
- Python (or similar languages).
- Digital Optimization
- A/B testing, conversion rate optimization, funnel analysis.
- ML Methods
- Exposure to machine-learning applications.
- Project Management Tools
- Familiarity with Jira/Confluence.
Benefits
Your well-being and career growth matter. Receive:
- Group Personal Pension – 12% total contribution (8% employer, 4% employee).
- Life & Income Protection – Security for your future.
- Private Medical Insurance – through Bupa.
- 25+ Days Annual Leave (plus bank holidays).
- Staff Investment Discounts – on our products.
- Personal & Wellbeing Support – for mental/physical health.
- Retail Discounts – on a wide range of brands.
- Flexible Benefits – customize per your lifestyle.
Our commitment: responsiveness to applicants within 30 days. Applications beyond that suggest next step actions required from us—contact us for updates.
Equality, Diversity, & Inclusion interactive investor adheres to the UK Equality Act 2010, welcoming candidates regardless of age, disability, gender, race, religion, sexual orientation, or other protected status. We ensure reasonable adjustments for disabled applicants and prohibit all forms of discrimination.
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