At a Glance
- Tasks: Collect, analyse, and interpret data to provide actionable insights for business decisions.
- Company: Join a dynamic team at HDI focused on data analytics and AI innovations.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team fostering continuous learning and ethical AI practices.
- Why this job: Make a real impact by driving data-driven decision-making and enhancing business processes.
- Qualifications: Experience with SQL, Python, and data visualisation tools; strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
The HDI Data Analytics & AI team is a new team within the branch, pulling expertise from data roles across the company. This team is designed to be the heart of the business' data use, with business partners and stakeholders across all aspects of the branch. We will work closely with these stakeholders to enable the company with good data practice, assist with reporting, and developing use cases for Data & AI enhancements.
The Data Analyst is responsible for collecting, analysing, and interpreting data to provide actionable insights, supporting business decisions and operational improvements. This will be across data analytics and building artificial intelligence use cases. The data analyst will support the delivery of advanced analytics and artificial intelligence solutions that enable data-driven decision-making and measurable business impact.
Reporting to the Data Analytics & AI Team Lead, this role translates complex business challenges into actionable analytical and AI use cases, ensuring timely and high-quality execution. The data analyst will foster technical excellence and continuous learning in AI, machine learning, and advanced analytics. They will ensure adherence to governance standards, ethical AI practices, and robust model monitoring to maintain accuracy, fairness, and compliance.
Working closely with cross-functional stakeholders and Subject Matter Experts (SMEs) from the business, the data analyst will identify opportunities for predictive analytics, automation, and AI-driven insights, embedding these solutions into business processes. Through effective communication and collaboration, the role ensures insights are actionable and deliver tangible value. Ultimately, this role combines hands-on business and technical expertise to build and deliver scalable analytics and AI capabilities that support HDI’s strategic objectives.
Key accountabilities- Lead the delivery of advanced analytics and AI solutions that drive measurable business impact across key functions.
- Translate business problems into analytical and AI use cases; design and implement models, dashboards, and decision-support tools.
- Deliver ad hoc data analysis and reporting tasks as required, ensuring outputs are accurate, timely and aligned with business needs.
- Understand and support data quality, lineage and governance.
- Where required work to gather, clean, and analyse large data sets across multiple sources.
- Develop and maintain standards for data analysis, AI model development and experimentation, aligned with enterprise governance and guardrails.
- Collaborate with cross-functional teams / SMEs to identify opportunities for predictive analytics, automation, and AI-driven insights.
- Ensure ethical and responsible use of AI, including bias monitoring and compliance with data governance policies.
- Foster continuous learning and experimenting in AI, machine learning, and advanced analytics techniques.
- Monitor performance of AI models and analytics solutions; identify trends, anomalies, and implement improvements to ensure scalability.
- Communicate insights and recommendations effectively to stakeholders, ensuring integration into business processes.
- Be seen as a go-to support for the business and ensure effective communication into HDI’s Global Data Analytics & AI Home Office teams.
- Support change management initiatives and contribute to building a culture of data-driven decision-making.
- SQL, Snowflake, use of databases, ability to code (Python).
- Knowledge of data management tools and able to handle large datasets.
- Power BI or other visualisation tools.
- Analytical skills and the ability to interpret business information sensibly to ensure accurate and consistent information is always provided.
- Be able to influence opinion to achieve desired outcomes.
- The ability to make sound judgments under pressure.
- Ability to manage change and apply change management principles.
- Strong planning, organisation, and ability to manage workload under pressure and meet deadlines.
- Solid understanding of insurance terminology across all lines of business.
- Strong risk management capabilities, including monitoring of operational controls.
- Highly numerate with accuracy and attention to detail.
- Good report writing skills and interpersonal skills.
- CII Qualification or willingness to study CII or appropriate professional qualification (desirable).
As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one.
Data Analyst in London employer: HDI Global SE
HDI is an exceptional employer, offering a dynamic work environment where finance professionals can thrive. With a strong commitment to employee development and a culture that values collaboration and innovation, you will have the opportunity to partner with senior stakeholders and drive meaningful change within the organisation. Located in the UK, HDI provides a unique chance to engage with diverse markets while enjoying the benefits of a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any AI models you've worked on. 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 brushing up on common data analysis questions and case studies. We recommend practising your problem-solving skills and being ready to discuss how you’d tackle real-world business challenges using data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Python, and any data management tools you've used. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and AI. Share specific examples of how you've tackled business challenges with data-driven insights.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of past projects where you’ve used analytics to drive decisions or improve processes. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at HDI Global SE
✨Know Your Data Tools
Make sure you brush up on your SQL, Snowflake, and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any experience with Power BI or other visualisation tools. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Understand the Business Context
Familiarise yourself with the insurance industry and the specific challenges it faces. Being able to translate complex business problems into actionable insights will impress your interviewers. Think about how data analytics can drive decision-making and operational improvements in this sector.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical business problems using data analysis. Practice articulating your thought process clearly, from identifying the problem to proposing a data-driven solution. This will demonstrate your analytical skills and ability to think on your feet.
✨Showcase Your Communication Skills
Since the role involves collaborating with cross-functional teams, be prepared to discuss how you've effectively communicated insights in the past. Highlight any experiences where you influenced stakeholders or integrated data solutions into business processes. Strong interpersonal skills are key!
