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For Companies At a Glance
- Tasks: Transform complex data into insightful reports and dashboards for decision-making.
- Company: Join a leading company focused on innovation and data-driven solutions.
- Benefits: Enjoy 25 days leave, private healthcare, and hybrid working options.
- Other info: Great career growth opportunities in a supportive and dynamic 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 email candidate.helpdesk@wtwco.com.
Data Analyst-GB Retail 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your experience with large datasets to demonstrate how you’ve turned data into actionable insights.
✨Tip Number 3
Don’t just apply for jobs—tailor your approach! Research the company and its reporting needs, then highlight how your skills in Excel, Power BI, or SQL can specifically help them enhance their data processes.
✨Tip Number 4
Follow up after interviews! A quick thank-you email reiterating your interest and mentioning something specific from the conversation can keep you top of mind. And remember, apply through our website for the best chance!
We think you need these skills to ace Data Analyst-GB Retail
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with large datasets, reporting outputs, and any relevant tools like Excel or Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to showcase your curiosity and analytical mindset. Share specific examples of how you've tackled data quality issues or automated reporting processes in the past. This is your chance to show us your personality and passion for data!
Showcase Your Technical Skills: Don’t forget to mention your technical abilities! If you’ve worked with SQL, Python, or any AI-enabled tools, make sure to include that. We love seeing candidates who are comfortable with tech and can bring those skills to our team.
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 don’t miss out on any important updates. Plus, it’s super easy to do!
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, produced 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 your reporting processes.
✨Be Stakeholder-Focused
Think about how you've partnered with stakeholders in the past. Be ready to share examples of how you translated their reporting needs into actionable outputs and how you iterated based on their feedback. This demonstrates your collaborative approach.
✨Prepare for Technical Questions
Brush up on your Excel skills, especially advanced features like Power Query and complex formulas. You might also be asked about SQL or Python, so be prepared to discuss how you've used these languages for data transformation or automation.