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- Tasks: Transform complex data into insightful reports and dashboards for decision-making.
- Company: Join a forward-thinking team at a leading retail facilities company.
- Benefits: Enjoy 25 days leave, private healthcare, and hybrid working options.
- Other info: Great career growth opportunities and a supportive work environment.
- Why this job: Make an impact by automating reporting and enhancing data quality.
- Qualifications: Experience with large datasets, advanced Excel skills, and dashboard creation.
The predicted salary is between 35000 - 45000 ÂŁ per year.
We’re looking for a Data Analyst to help drive and enhance reporting across the GB Retail Facilities Team. You’ll enjoy working with large, complex datasets—turning them into clear, accurate management information (MI) packs, dashboards and insight that supports decision‑making. The role will suit someone who is naturally curious, comfortable challenging data quality, and motivated to automate and streamline reporting to reduce manual manipulation.
The Role
- Own and enhance the Facilities reporting suite: recurring MI packs, performance dashboards and insight outputs.
- Extract, cleanse, transform and reconcile data from multiple sources, ensuring accuracy, consistency and auditability.
- Build and maintain robust data models and reporting logic (definitions, calculations, assumptions and controls).
- Produce clear analysis and commentary, highlighting trends, exceptions, risks/opportunities and insights for stakeholders.
- Develop and improve dashboards and visualizations.
- Partner with stakeholders across the GB Retail Facilities Team to understand reporting needs, translate requirements into outputs, and iterate based on feedback.
- Drive automation and continuous improvement—streamlining processes to reduce reliance on manual spreadsheets and repetitive data manipulation.
- Establish and monitor data quality checks (e.g. completeness, validity, duplication, outliers) and propose fixes to upstream data issues.
- Produce supporting documentation (data dictionaries, report specifications, process notes) to enable resilience and continuity.
- Support ad‑hoc analysis requests, deep‑dives and presentations of findings to both technical and non‑technical audiences.
Qualifications
What you’ll bring
Essential
- Demonstrable experience manipulating large/complex datasets and producing accurate MI/reporting outputs.
- Strong analytical capability with excellent attention to detail and a clear approach to validation/reconciliation.
- Advanced Excel capability (e.g., Power Query, pivots, complex formulas; comfort working with messy data).
- Experience building dashboards and visualizations and presenting findings in a clear, stakeholder‑friendly way.
- Experience using AI‑enabled tools or techniques to support data analysis, reporting, automation, or insight generation.
- Ability to organize and prioritise multiple deliverables in a fast‑paced, deadline‑driven environment.
Desirable
- Knowledge of Power BI (creating interactive reports/dashboards and data modelling).
- Experience with SQL and/or a scripting language (e.g., Python) for data transformation/automation.
- Exposure to automation tooling (e.g., Power Automate) and modern MI engineering approaches.
- Understanding of insurance/broking or financial/operational MI (helpful but not required).
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You’ll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle‑to‑work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please let us know.
Data Analyst-GB Retail in London employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst-GB Retail in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any automation work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you would tackle real-world problems using data, and be ready to discuss your thought process.
✨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 and makes it easier for us to track your progress.
We think you need these skills to ace Data Analyst-GB Retail in London
Some tips for your application 🫡
Show Off Your Data Skills: When you're writing your application, make sure to highlight your experience with large datasets and any cool projects you've worked on. We want to see how you’ve turned complex data into clear insights, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, clarity is key when presenting data, and that applies here too!
Tailor Your Application: Make sure to customise your application to fit the role. Mention specific tools and techniques from the job description, like Power BI or SQL, and explain how you’ve used them in your previous roles. This shows us you’re genuinely interested!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts!
How to prepare for a job interview at Willis Towers Watson
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with large datasets. Be ready to discuss specific examples where you manipulated data, created MI packs, or built dashboards. This will show your analytical capability and attention to detail.
✨Showcase Your Automation Skills
Prepare to talk about any tools or techniques you've used for automation, especially AI-enabled ones. If you've worked with Power Automate or similar tools, highlight how they helped streamline processes in your previous roles.
✨Be Stakeholder-Focused
Understand the importance of translating stakeholder requirements into actionable insights. Think of examples where you partnered with others to gather feedback and iterate on reporting outputs. This demonstrates your collaborative spirit and adaptability.
✨Prepare for Technical Questions
Brush up on your Excel skills, especially advanced functions like Power Query and complex formulas. Be ready to discuss your experience with SQL or Python for data transformation. This will help you stand out as a candidate who can handle the technical demands of the role.