At a Glance
- Tasks: Transform data into actionable insights and automate reporting for better decision-making.
- Company: Join a mission-driven financial services organisation focused on data-driven governance.
- Benefits: Enjoy performance bonuses, generous pension contributions, healthcare, and 25 days holiday.
- Other info: Collaborative culture with opportunities to grow your analytical and consulting skills.
- Why this job: Make a real impact by shaping how data supports customer outcomes in a dynamic environment.
- Qualifications: Advanced skills in Power BI, SQL, and experience with Python or similar tools.
The predicted salary is between 59400 - 72600 £ per year.
Overview
In this role, you will evolve the reporting, analytics and insight capability within the Retail Controls Office by turning governance, operational, customer and risk data into actionable insight.
You will automate reporting, build scalable dashboards and data products, and partner with stakeholders to align analytics with business needs.
This role blends hands-on delivery with stakeholder consulting, shaping how the organization uses data to support governance and better customer outcomes.
A strong hook is contributing to data-driven controls and insights in a large, mission-driven financial services environment.
- Pay / Benefits
- annual performance bonus
- share schemes
- generous pension contribution
- life assurance
- healthcare plan
- 25 days holiday + public holidays
Responsibilities
- Collaborate with data leaders across the business
- Partner with stakeholders to translate priorities into analytical requirements
- Automate reporting to reduce manual processes and duplication
- Analyze operational, customer, governance and risk data to identify trends and issues
- Design dashboards, visualisations, data models and analytical products
- Establish controls over data definitions, calculations and transformation logic
- Improve accuracy, accessibility and reusability of management information
- Key requirements
- Advanced experience with Power BI, Tableau or equivalent visualization tool
- Strong SQL capability and experience building/maintaining complex datasets
- Experience with Python, Power Automate or similar to improve reporting
- Experience designing data models, reporting frameworks and dashboard solutions
- Ability to translate business requirements into analytical products
- Experience with governance, risk, regulatory or operational data in a regulated environment
- Strong stakeholder-management and consulting skills
- Ability to explain technical concepts clearly to non-technical audiences
- strong stakeholder-management and consulting skills
- clear communication to non-technical audiences
- Power BI
- Tableau
- SQL
- Python
Data & Analytics Lead in Cardiff employer: Legal and General
Legal & General (L&G) is an exceptional employer that prioritises employee growth and well-being, offering a collaborative work culture where innovation thrives. As a Senior Azure Platform Engineer, you'll have the opportunity to work with cutting-edge technologies in a supportive environment that values flexibility and personal development, ensuring you can achieve both professional and personal goals while contributing to meaningful financial solutions for millions of customers.
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We think this is how you could land Data & Analytics Lead in Cardiff
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Legal and General.
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We think you need these skills to ace Data & Analytics Lead in Cardiff
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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Craft a Tailored Cover Letter:For a full-time role at Legal and General, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Legal and General. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Legal and General
✨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 a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Legal and General!
✨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.
