Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform raw data into actionable insights and drive strategic decisions.
- Company: Globally celebrated publishing brand with a fun and adventurous culture.
- Benefits: Hybrid working, 25 days holiday, private medical, and vibrant social calendar.
- Why this job: Empower global leaders with data-driven recommendations and make a real impact.
- Qualifications: Experience in analytics, SQL, Python, and familiarity with BI tools.
- Other info: Join a passionate team that values curiosity and integrity.
The predicted salary is between 28800 - 48000 £ per year.
A globally celebrated brand in the publishing industry, inspiring people through amazing achievements. Join a passionate team, where they value fun, adventure, curiosity, and integrity.
As a Data Analyst, you'll transform raw data into actionable commercial insights. Reporting to the Head of Business Partnering, you'll empower global business leaders to identify revenue opportunities and cost efficiencies, driving strategic decisions through data-driven recommendations.
Key Responsibilities:
- Lead the implementation and integration of new BI systems (e.g., Domo).
- Collect, analyse, and interpret complex data for strategic business improvements.
- Develop algorithms and models for machine learning and predictive analytics.
- Create, maintain, and improve BI databases and reporting dashboards.
- Provide analysis on products, pricing, and markets to identify trends.
- Collaborate with stakeholders to streamline reporting and support strategic planning.
What you'll need to succeed:
- Proven commercial acumen with tangible analytics experience.
- Excellent communication and stakeholder management skills.
- Proficiency in SQL for data querying.
- Experience using Python for data analysis and aggregation.
- Familiarity with BI tools (Tableau, PowerBI, Domo).
- A self-starter with an analytical mindset and ability to work autonomously.
- Experience with Digital/Social Media Data and APIs.
- Knowledge of Salesforce Sales/Marketing Cloud or Google Analytics.
- Background in BI tool migration/implementation.
What you'll get in return:
- Enjoy hybrid working (one day a week in the office).
- 25 days holiday (+ bank holidays + 2 volunteer days).
- Summer/Winter early Fridays.
- Private medical (post-probation).
- Generous pension (5% employer contribution).
- Life assurance.
- Vibrant social calendar.
Data Analyst in London employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨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
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Python, and BI tools like Tableau or PowerBI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our team. Don’t forget to mention any relevant projects or achievements that showcase your analytical prowess.
Showcase Your Analytical Mindset: In your application, give examples of how you've transformed data into actionable insights. We love seeing real-world applications of your skills, so don’t hold back on those success stories!
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 updates from us!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to BI systems like Tableau or PowerBI. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Analytical Mindset
Prepare examples of how you've transformed raw data into actionable insights. Think about specific instances where your analysis led to strategic decisions or improvements. This will demonstrate your ability to think critically and provide value to the team.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present your findings or collaborate with stakeholders, so being able to articulate your thoughts clearly will set you apart.
✨Understand the Company Culture
Research the company’s values around fun, adventure, curiosity, and integrity. Be prepared to discuss how your personal values align with theirs. This will help you connect with the interviewers and show that you’re a good cultural fit for the team.
