Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analytics projects to enhance business performance and decision-making.
- Company: Join a forward-thinking firm that values data-driven insights.
- Benefits: Competitive pay, annual bonus, free lunch, and 30 days off.
- Why this job: Make a real impact by driving strategic decisions with data.
- Qualifications: Experience in analytics projects, strong communication, and analytical skills.
- Other info: Enjoy a relaxed dress code, great work/life balance, and monthly events.
The predicted salary is between 36000 - 60000 £ per year.
The role of the Data Analytics team is part of the wider Strategy and Insights function, which is responsible for providing timely insights on the firm’s health and for the development and delivery of G-Research's strategy. Data is at the heart of what we do, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm.
As a leader within the team, you will be at the forefront of facilitating data-driven decision making, working closely with senior leadership to structure, analyse and drive outcomes for complex and strategic problems.
Key responsibilities of the role include:
- Leading and delivering projects to improve business performance and decision making, using a variety of analytical and modelling techniques.
- Supporting the smooth running and augmentation of business operations through the provision of insight on metrics that matter.
- Working with senior leadership to identify key hypotheses and assumptions, quantifying and challenging throughout.
- Providing technical oversight and advice on modelling and simulation projects, mentoring other members of the team.
- Supporting the evolution of analytical capability across the business by acting as the subject-matter expert, contributing to training and maintaining knowledge resources.
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Demonstrable depth of experience of owning and delivering end-to-end analytics or modelling projects, from data sourcing to insight delivery.
- Strong ability to dissect ambiguous problems, identify key drivers and determine the most appropriate analytical techniques to apply.
- Strong communication and facilitation skills, with the ability to engage C-Suite stakeholders.
- An analytical mindset, high attention to detail and enthusiasm for innovation and continuous improvement.
- A good understanding of statistics and the ability to apply statistical methods to their modelling and analysis.
- Experience with SQL, Python, Tableau or similar is beneficial.
- Experience line managing data analysts is beneficial.
Why join us?
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided (via Just Eat for Business) and dedicated barista bar.
- 30 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle-to-work scheme.
- Monthly company events.
Data Analytics Lead employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 interviews by practising common questions and scenarios related to data analytics. Think about how you can showcase your experience with SQL, Python, and your analytical mindset. We want to see you shine!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for openings at StudySmarter, where we value innovation and continuous improvement just as much as you do!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Share any additional insights or thoughts you had post-interview to show your enthusiasm for the role.
We think you need these skills to ace Data Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your end-to-end analytics projects and any experience with SQL, Python, or Tableau. We want to see how you can bring value to our Data Analytics team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven decision making and how your analytical mindset aligns with our goals. Don’t forget to mention your experience engaging with senior leadership!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled ambiguous problems in the past. We love candidates who can dissect complex issues and apply the right analytical techniques. Share your success stories with us!
Apply Through Our Website: We encourage you to apply directly 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. We can’t wait to hear from you!
How to prepare for a job interview at G-Research
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and techniques mentioned in the job description. Brush up on your SQL, Python, and Tableau skills, and be ready to discuss how you've used them in past projects. This will show that you can hit the ground running.
✨Prepare for Complex Problem-Solving
Expect to face some tricky questions that test your analytical mindset. Think of examples where you've dissected ambiguous problems and driven outcomes. Be ready to explain your thought process and the analytical techniques you applied to reach your conclusions.
✨Engage with C-Suite Scenarios
Since the role involves working closely with senior leadership, practice articulating your insights clearly and confidently. Prepare to discuss how you would present complex data in a way that resonates with C-Suite stakeholders, focusing on metrics that matter to them.
✨Show Your Leadership Skills
As a potential leader in the team, highlight your experience in mentoring and managing data analysts. Share specific examples of how you've supported team members' growth and contributed to the evolution of analytical capabilities within your previous roles.
