At a Glance
- Tasks: Analyse data to generate insights and drive strategic business decisions.
- Company: Join interactive investor, the UK's top flat-fee investment platform.
- Benefits: Enjoy a competitive salary, private medical insurance, and 25 days annual leave.
- Other info: Hybrid work model with opportunities for continuous learning and career growth.
- Why this job: Make a real impact by shaping customer experiences through data-driven insights.
- Qualifications: Strong analytics background with proficiency in SQL and data visualisation tools.
The predicted salary is between 33000 - 40000 £ per year.
Location: Hybrid, 3 days a week in Manchester, 2 days remote
Salary: From £33,000
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 nearly 30 years. We’re now the UK’s number one flat-fee investment platform, with assets under administration approaching £75 billion and over 450,000 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.
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.
- Champion the automation of reporting capabilities to enhance efficiency.
- 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.
- Cross-functional Collaboration: Actively engage with various departments to integrate data-driven insights into business processes.
- Continuous Learning: Commit to ongoing professional development in data analytics.
- Performance Monitoring & Reporting: Regularly track and report on key performance indicators.
- 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.
Requirements
Essential
- 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, techniques, and methodologies.
- Experience of data science techniques and methodologies.
- AI/ML platform proficiency.
- Effective communication and presentation skills.
- Strong stakeholder management skills.
- Proactive, personable, and able 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 a strong interest in financial markets.
- Interest in investing, with knowledge of investment products and market trends.
- Proficiency in Python or other languages for data analysis.
- Experience with A/B testing and conversion rate optimisation techniques.
- Familiarity with machine learning techniques.
- Familiarity 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 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. We welcome applications from individuals of all ages, disabilities, gender identities, marital status, pregnancy/maternity, race, religion or belief, sex, and sexual orientation. We are committed to treating all applicants fairly and making reasonable adjustments where needed to support disabled applicants. We actively prevent all forms of discrimination, harassment, and victimisation.
Data Analyst in Cheddar employer: Interactive Investor
Interactive Investor is an excellent employer that fosters a dynamic work culture, encouraging collaboration and innovation within its Data and Innovation team. With a hybrid working model based in Manchester, employees enjoy the flexibility of remote work while benefiting from professional growth opportunities and a commitment to data-driven decision-making that enhances customer engagement. The company values its employees by providing access to cutting-edge tools and resources, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Cheddar
✨Get Involved in Data Science Meetups
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Interactive Investor
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
