At a Glance
- Tasks: Transform data into actionable insights and solve business challenges with innovative analytical techniques.
- Company: Join Zurich, a leading global insurer committed to sustainability and diversity.
- Benefits: Enjoy flexible working, competitive salary, private medical insurance, and a generous pension scheme.
- Other info: Be part of a supportive community focused on wellbeing and continuous improvement.
- Why this job: Make a real impact by enhancing data science capabilities and integrating AI into analysis.
- Qualifications: Degree in a numerical discipline and experience with SQL, Python, and data analysis.
The predicted salary is between 50000 - 60000 € per year.
Working hours: This role is available on a part-time, job-share or full-time basis.
Salary: Circa £50-£60k depending on experience plus an excellent benefits package.
Location: Availability to be in London Office twice a week, other days working from Home.
The opportunity:
Join our team as a Senior Data Analyst to transform data into actionable insights. You will analyse large historical datasets, collaborate with stakeholders to understand portfolios, and present trends at regular meetings. Your role involves using innovative analytical techniques to solve business challenges, designing predictive models, and driving continuous data quality improvement. You’ll also enhance our data science capabilities and work on integrating AI into data analysis. If you're passionate about data and ready to make an impact, apply today!
Many of our employees work flexibly in a variety of different ways, including part-time, flexible hours, job share, an element of working from home or compressed hours. This is because we want the best people for our roles, and we recognise that sometimes those people aren’t available full-time. Please talk to us at the interview about the flexibility you may need.
What are we looking for?
Education & Experience: We prefer candidates with a degree, apprenticeship, or diploma in a numerical discipline such as Mathematics, Statistics, or Data Science. Experience in coding, particularly with SQL and Python, is essential, though other languages are also welcome.
Technical Skills:
- Must-Have:
- Advanced experience with Power BI: Creating and publishing dashboards, data transformation, visual conformity, and DAX formulas.
- Advanced Excel skills: Proficiency with functions including Lookups, Index, Match, Pivot Tables, and visualisations.
- Advanced SQL expertise: Proficient in reading and writing SQL code.
- Experience handling unstructured data: Capable of processing, conforming, and presenting large datasets (1M+ rows).
- Proficiency with the Microsoft O365 suite.
- Snowflake experience: Proficient in managing and manipulating data with Snowflake (and/or SQL) and connecting Datasets to Power BI dashboards.
- Strong data analysis skills: Ability to understand, visualise, and trend large datasets to formulate evidence-based hypotheses and communicate findings to stakeholders.
- Preferable:
- Data Science/Predictive Modelling: Skilled in using techniques to model past data for future predictions and understanding drivers of trends and patterns.
- Non-Technical Skills:
- Must-Have:
- Proven experience interacting directly with stakeholders.
- Ability to work collaboratively within a team to deliver projects.
- Comfort engaging with stakeholders at all levels.
- Adherence to agreed time-frames, whether internal or regulatory.
- Understanding of data regulations such as PII, GDPR, and Data Retention.
- Ability to present data and communicate complex technical concepts clearly to non-technical audiences.
- Preferred:
- Experience in insurance or financial services.
- Prior experience working as part of a data team.
As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.
What will you get in return?
Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits so our people can choose what fits them and their life. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year. Our benefits include 12% defined non-contributory pension scheme, annual company bonus, private medical insurance and the option to buy up to an additional 20 days or sell some of your holiday.
Follow the link for more information about our benefits - Employee benefits | Working at Zurich Insurance UK
Who we are:
At Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we’re creating a brighter future for our customers, our people and our planet.
With over 55,000 employees in more than 170 countries, you’ll feel the support of being part of a strong and stable company who are a long-standing player in the insurance industry.
We’ve made a promise to each other and every employee; to focus on sustainable impact, to care about each other’s wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.
If you're interested in working in a dynamic and challenging environment for a company that recognises and rewards your creativity, initiatives and contributions - then Zurich could be just the place for you. Be part of something great.
Our Culture:
At Zurich, our sense of community is strong and we’re particularly passionate about diversity and inclusion, which we’ve won numerous awards for. We want our people to bring the whole of themselves to work and ensure everybody is made to feel welcome, regardless of their background, beliefs or culture. We want our employees to reflect the diversity of our customers, and so are committed to treating all of our applicants fairly and with respect, irrespective of their actual or assumed background, disability or any other protected characteristic.
We’ve an environment that places a real importance on our people’s wellbeing from a physical, mental, social and financial perspective. We work with our wellbeing partners and industry experts to provide the best advice and access to a wealth of lifestyle support. We’re also committed to continuous improvement, and we offer access to a comprehensive range of training and development opportunities.
We’re passionate about supporting employees to help others by getting involved in volunteering, charitable and community activity. Our charitable arm, Zurich Community Trust, is one of the longest-established corporate trusts in the UK. In that time, we’ve awarded grants and volunteered time to deserving causes in the UK valued at over £90 million.
So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.
Senior Data Analyst in London employer: LiveWell
Zurich is an exceptional employer that prioritises flexibility and employee wellbeing, offering a range of benefits including a generous pension scheme, annual bonuses, and private medical insurance. With a strong commitment to diversity and inclusion, employees are encouraged to bring their authentic selves to work while benefiting from continuous training and development opportunities. Located in London, the role of Senior Data Analyst allows for a hybrid working model, fostering a collaborative environment where innovative data solutions can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common interview questions. Make sure you can showcase your skills in SQL, Python, and data analysis confidently.
✨Tip Number 3
Show off your projects! If you've worked on any cool data analysis projects, be ready to discuss them. Bring examples of dashboards or predictive models you've created to impress your interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Zurich.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, Python, and Power BI, and don’t forget to showcase any relevant projects or achievements that demonstrate your analytical skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your skills align with our mission at StudySmarter. Keep it concise but impactful, and let your personality show through.
Showcase Your Stakeholder Experience:Since interacting with stakeholders is key for this role, make sure to include examples of how you've successfully collaborated with others in your previous positions. This will show us you can communicate complex data insights effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. 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 LiveWell
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI, SQL, and Excel before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and present insights. This will show that you're not just familiar with the software but can also leverage it effectively.
✨Showcase Your Stakeholder Engagement
Prepare examples of how you've collaborated with stakeholders in the past. Highlight situations where you translated complex data into actionable insights for non-technical audiences. This demonstrates your ability to communicate effectively and work as part of a team.
✨Understand the Business Context
Research Zurich and its role in the insurance industry. Familiarise yourself with current trends and challenges in data analysis within this sector. Being able to relate your skills to their specific needs will set you apart from other candidates.
✨Be Ready for Technical Questions
Expect questions that test your technical knowledge, especially around predictive modelling and handling unstructured data. Prepare to discuss your experience with large datasets and any innovative analytical techniques you've employed. This will showcase your expertise and problem-solving abilities.