At a Glance
- Tasks: Analyse data to deliver insights and support decision-making for customers.
- Company: Join a leading company in the Institutional Retirement Division with a focus on collaboration.
- Benefits: Enjoy competitive pay, generous holiday, healthcare, and a chance to join our electric car scheme.
- Other info: Be part of an inclusive culture that values diverse backgrounds and flexible working options.
- Why this job: Make a real impact by transforming data into actionable insights in a hybrid work environment.
- Qualifications: Strong data analysis skills and experience with tools like SQL or Python are essential.
The predicted salary is between 50000 - 65000 € per year.
We’re looking for a Senior Technical Data Analyst to join the Operational Planning and Insights team within our award‑winning Institutional Retirement Division. This is an exciting opportunity to use your technical expertise and analytical thinking to deliver high‑quality data insights that support better decision‑making and outcomes for customers and stakeholders alike. While previous experience in pensions is advantageous, we welcome applicants from a variety of backgrounds and aim to create a team environment where everyone can thrive and contribute to our ongoing data journey. This role is a hybrid working opportunity, which will allow you to split your working week between your home and the office to find a work‑life balance that works for you.
What you’ll be doing:
- Managing, cleansing, validating and transforming data to meet internal and external customer needs
- Designing, developing and delivering MI and BI dashboards and reports to provide clear performance insights
- Analysing complex data to identify trends, risks and opportunities for improvement
- Leading and contributing to business‑critical projects and change initiatives
- Identifying opportunities to improve data processes, controls and systems
- Collaborating with internal stakeholders to understand requirements and deliver robust, reusable solutions
- Working with IT partners to specify, test and implement technical solutions
- Supporting and developing colleagues through knowledge sharing and coaching
Who we’re looking for:
- Strong experience in data analysis, reporting and insight delivery within a complex environment
- Advanced skills in Excel and experience with tools or languages such as SQL, Python or SAS
- Experience producing MI, dashboards or management reports for senior stakeholders
- A good understanding of data quality, governance and risk management principles
- The ability to communicate complex information clearly and influence at different levels
- Experience of prioritising work across multiple tasks or projects to meet deadlines
- A collaborative approach with a strong focus on customer outcomes
- A degree in a mathematical or statistical discipline, or equivalent experience
Benefits:
- The opportunity to participate in our annual performance‑related bonus plan and valuable share schemes
- Generous pension contribution
- Life assurance
- Healthcare plan
- At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. Option to buy and sell holiday
- Competitive family leave
- Participation in our electric car scheme, offering employees the option to hire a brand‑new electric car through tax‑efficient salary sacrifice
- Discounts on our own products and at a range of high‑street stores and online
- Commitment to net‑zero carbon workplaces by 2030 through investment in sustainable, modern offices across the UK
Additional Information:
At L&G, we believe it’s possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views and experiences. Guided by leaders with integrity who care about your future and wellbeing, we empower through initiatives that support career development and excellence. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part‑time, term‑time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
Senior Technical Data Analyst in London employer: Legal & General
At L&G, we pride ourselves on being an exceptional employer, offering a hybrid working model that promotes a healthy work-life balance while fostering a collaborative and inclusive culture. Our commitment to employee growth is evident through our extensive benefits package, including performance-related bonuses, generous pension contributions, and opportunities for career development, all within a supportive environment that values diverse perspectives and innovative thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data analysis skills. Use examples from your past work to demonstrate how you’ve tackled complex problems.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in the interviewer’s mind and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website for the best chance of landing that Senior Technical Data Analyst role. We love seeing candidates who are proactive and engaged with our mission!
We think you need these skills to ace Senior Technical Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Technical Data Analyst role. Highlight your data analysis expertise, especially with tools like SQL or Python, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how your background can contribute to our team. Be sure to connect your experiences to the job description and show us your enthusiasm for the role.
Showcase Your Analytical Skills:In your application, provide examples of how you've used your analytical thinking to solve complex problems. Whether it's through dashboards, reports, or data insights, we want to see how you’ve made an impact in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Legal & General
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, Python, or SAS before the interview. Be ready to discuss how you've used these tools in past projects, especially in data cleansing and analysis. This will show that you can hit the ground running!
✨Showcase Your Analytical Thinking
Prepare examples of how you've identified trends, risks, and opportunities in complex data sets. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easy for the interviewer to see your analytical prowess in action.
✨Understand the Business Context
Familiarise yourself with the company's mission and how the Operational Planning and Insights team contributes to it. Being able to connect your data insights to customer outcomes will demonstrate your understanding of the bigger picture and your alignment with their goals.
✨Be Ready to Collaborate
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you've influenced decisions at different levels, as this will be key in a hybrid working environment.
