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- Tasks: Transform and analyse data to drive decision-making and create impactful insights.
- Company: Leading tech firm revolutionising safety and innovation across 40+ countries.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a mission-driven team and leverage AI to transform data into strategic assets.
- Qualifications: Experience in data analysis, Power BI, and familiarity with Python and AI tools.
- Other info: Dynamic role with a focus on continuous improvement and global service excellence.
The predicted salary is between 36000 - 60000 £ per year.
The Senior Data Analyst will play a critical role in enabling data-driven decision-making across Reveal’s global service organisation. This role is responsible for extracting, transforming, analysing, and visualising data from multiple enterprise systems—including Azure, Salesforce, Halo ITSM, and repair/logistics platforms—to deliver high-quality insights for senior executives, sales teams, service delivery, engineering, product teams, and customers.
The role will design and maintain advanced Power BI dashboards, build robust data models, perform historical trend analysis, and develop forecasting and pattern-detection models to support operational planning and continuous improvement. In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting capabilities across the business.
This role is critical to Reveal’s ability to scale service operations globally while maintaining service excellence, customer trust, and commercial performance. By combining advanced analytics, automation, and emerging AI capabilities, the Senior Data Analyst will help transform data into a strategic asset across the organisation.
Key Responsibilities
- Data Extraction
Senior Data Analyst employer: Reveal Media
Contact Detail:
Reveal Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially using Power BI and Python. We want to see how you can turn data into insights, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. We recommend practising how you’d approach real-world problems, especially those related to service delivery and operational planning. Be ready to impress with your analytical thinking!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data extraction, transformation, and visualisation, especially using tools like Power BI and Python. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our global service organisation. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with Azure, Salesforce, and AI tools. We’re looking for someone who can leverage these technologies to drive insights and improve decision-making.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Reveal Media
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Azure, Salesforce, and Power BI. Brush up on your skills with these platforms and be ready to discuss how you've used them in past roles.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've extracted, transformed, and visualised data to drive decision-making. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Embrace AI and Automation
Since the role involves AI-enabled analytics, be prepared to discuss your experience with Python and any modern AI tools. Share insights on how you’ve leveraged these technologies to enhance data analysis or reporting in previous positions.
✨Understand the Company’s Mission
Familiarise yourself with Reveal’s mission and values. Be ready to explain how your skills and experiences align with their commitment to safety, innovation, and service excellence. This shows that you’re not just a fit for the role, but also for the company culture.
