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- Tasks: Transform complex data into actionable insights and drive strategic decisions.
- Company: Join the UK's number one flat-fee investment platform with a strong customer focus.
- Benefits: Enjoy competitive salary, private medical insurance, and 25 days annual leave.
- Why this job: Make a real impact on customer experiences and business growth through data analytics.
- Qualifications: Strong analytics background with proficiency in SQL and data visualisation tools.
- Other info: Collaborative environment with opportunities for continuous learning and professional development.
The predicted salary is between 36000 - 60000 £ per year.
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. We’re now the UK’s number one flat-fee investment platform, with assets under administration approaching £70 billion and over 500,000 customers.
PURPOSE OF ROLE: As a Data Analyst in the Data and Innovation team at interactive investor, you will be a key driver of the organisation’s data-centric culture, harnessing data to inform strategic business decisions. Your role is to synthesise complex data sets into clear, actionable insights that shape product optimisation, customer engagement, and operational efficiency. You will take a lead in data storytelling, influencing the direction of products and services by understanding customer behaviours and market trends. You will foster a collaborative environment where knowledge sharing and continuous improvement are paramount.
KEY RESPONSIBILITIES:
- Analyse Data and Generate Insights: Extract and analyse data from our data lakes and relevant sources to provide actionable insights for business decisions and strategy formulation.
- Reporting and Visualisation: Develop, maintain, and automate insightful BI and MI reports, ensuring data accuracy and relevance.
- Collaborative Analysis: Develop strong partnerships with stakeholders from Product, Commercial, Technology, Customer Services, and Operations to support their data needs and encourage the leveraging of data for product and service improvements.
- KPI and Data Insight Development: Lead or contribute to the development and tracking of KPIs and data insights across the company.
- Analytics Platforms: Utilise platforms such as SQL, Snowflake, Power BI, Google Analytics for in-depth analysis and to create insightful reports.
- Data Science Techniques: Apply data science methodologies to analyse customer behaviour patterns and assess business impacts.
- AI/ML Power User: Leverage existing AI and machine learning platforms to enhance analytical capabilities.
- Cross-Channel Analysis: Conduct comprehensive data analysis across all channels and systems.
- Mentorship and Team Support: Mentor and support team members in best practices and analytical techniques.
- Data Governance and Compliance: Ensure adherence to data protection laws and company policies.
- Continuous Learning: Commit to ongoing professional development in data analytics.
- Performance Monitoring & Reporting: Regularly track and report on key performance indicators relevant to each role's domain.
- Innovation and Continuous Improvement: Proactively seek and implement innovative solutions to enhance analytics capabilities.
- Team Collaboration and Problem-Solving: Participate in team problem-solving sessions and collaborate on projects.
SKILLS & EXPERIENCE REQUIRED:
- Strong background in analytics, ideally within a commercial or digital product/service context.
- Proficiency in SQL, data visualisation tools, and dashboard/report creation.
- Experience with Google Marketing Cloud, including Google Tag Manager and Google Analytics.
- Knowledge of statistical concepts and experience with data modelling and architecture.
- Effective communication and presentation skills.
- Strong stakeholder management skills.
- Excellent problem-solving, critical thinking, and attention to detail.
- Ability to manage multiple priorities and deliver results within deadlines.
Desirable:
- Experience in the investment industry or a strong interest in financial markets.
- Interest in investing, with knowledge of investment products and market trends.
- Familiarity with machine learning techniques and their application in predictive modelling.
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 your physical and mental wellness. Retail Discounts– Savings 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 efforts to respond to all applicants. However, due to the high volume of applications we’re currently receiving, if you haven’t been contacted within 30 days of application, please consider 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.
Data Analyst in Manchester employer: Interactive Investor
Contact Detail:
Interactive Investor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. The more connections you make, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you can demonstrate your problem-solving skills and your ability to turn complex data into actionable insights. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get those applications in!
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with SQL, Python, and data visualisation tools, as these are key skills we're looking for. Show us how your background aligns with our mission at interactive investor!
Showcase Your Data Storytelling Skills: In your application, don’t just list your technical skills; tell us how you've used data to drive decisions in previous roles. We love candidates who can transform complex data into clear insights, so share specific examples of your data storytelling!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. We appreciate clarity, especially when it comes to data analysis and reporting!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to track your application and ensure it gets to the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Interactive Investor
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects to extract insights and automate reporting.
✨Understand the Business Context
Familiarise yourself with interactive investor’s business model and the investment industry. Be prepared to discuss how data analysis can drive customer engagement and product optimisation, showing that you understand the bigger picture.
✨Prepare for Data Storytelling
Practice explaining complex data insights in a simple, engaging way. Think of examples where you’ve turned data into actionable recommendations, as this will demonstrate your ability to influence decisions through storytelling.
✨Show Collaborative Spirit
Highlight your experience working with cross-functional teams. Be ready to share examples of how you’ve partnered with stakeholders from different departments to meet their data needs and foster a data-driven culture.
