Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse complex data to drive strategic decisions for top-tier clients.
- Company: Join a fast-growing, globally active strategy firm with blue-chip clients.
- Benefits: Enjoy structured career progression and a collaborative, inclusive culture.
- Why this job: Make an impact early in your career while working on high-stakes projects.
- Qualifications: 3-5 years in analytics; degree in Economics, Computer Science, or Statistics required.
- Other info: Work closely with senior stakeholders and apply machine learning techniques.
The predicted salary is between 64000 - 84000 £ per year.
Associate Consultant – Analytics
• £80,000–£100,000 base + bonus
• London based
Our client is growing fast, creating exciting opportunities for smart, data-driven minds to shape strategic decisions at the highest level. You\’ll join a respected, globally active strategy firm working with blue-chip organisations across retail, tech, media and more, always with a tailored, insight-led approach. This is a chance to make your mark while working side-by-side with a highly collaborative and curious team.
The Associate Consultant will work directly with clients to deliver actionable insight across a rich mix of business challenges. You’ll contribute to strategic projects by gathering, transforming, and modelling complex data, and help to visualise and communicate results in a way that lands with senior stakeholders.
Role Highlights:
- Conduct complex data cleaning, modelling and analysis to inform high-impact business decisions
- Combine multiple data sources to create meaningful insight for diverse client projects
- Apply machine learning methods (e.g. segmentation, behaviour prediction, optimisation)
- Translate complex quantitative findings into compelling presentations for non-technical audiences
- Collaborate closely with consultants and partners on fast-paced strategic work
You Will Need:
- 3-5 years experience in analytics
- Hold a degree in a quantitative subject like Economics, Computer Science, or Statistics
- Be confident with R and/or Python, and working with large-scale datasets
- Understand when and how to apply statistical models and machine learning techniques
- Communicate clearly – both in written insight packs and in-person client conversations
Why You’ll Love It
- Structured career progression with real responsibility from day one
- High-impact, client-facing work across global sectors
- Inclusive, values-led culture where every perspective is heard
- Exposure to senior stakeholders and strategy-making early in your career
We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment in which everyone is able to make the best use of their skills, free from discrimination or harassment, and in which all decisions are based on merit.
Associate Consultant - Analytics employer: Tarka Talent
Contact Detail:
Tarka Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Consultant - Analytics
✨Tip Number 1
Familiarise yourself with the latest trends in analytics and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Practice explaining complex data concepts in simple terms. Since you'll be communicating with non-technical stakeholders, being able to convey your insights clearly will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the analytics field, especially those who work in consultancy. Attend industry events or webinars to make connections that could provide valuable insights or even referrals for the role.
✨Tip Number 4
Prepare for case study interviews by practising how to approach real-world business problems using data. This will help you showcase your analytical skills and strategic thinking during the interview process.
We think you need these skills to ace Associate Consultant - Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, data modelling, and any specific tools like R or Python. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your background aligns with the company's goals. Mention specific projects where you've successfully applied analytics to solve business challenges.
Showcase Your Analytical Skills: Provide examples of complex data analysis you've conducted in previous roles. Highlight your ability to translate quantitative findings into actionable insights, especially for non-technical audiences.
Prepare for Interviews: Be ready to discuss your analytical approach and problem-solving techniques. Prepare to explain how you would tackle real-world business challenges using data, and practice presenting your findings clearly and concisely.
How to prepare for a job interview at Tarka Talent
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data cleaning, modelling, and analysis. Bring examples of past projects where you transformed complex data into actionable insights, as this will demonstrate your ability to handle the responsibilities of the role.
✨Master the Technical Tools
Since the role requires proficiency in R and/or Python, make sure you can confidently discuss your experience with these tools. Consider preparing a brief demonstration or example of how you've used them in previous roles to solve real-world problems.
✨Communicate Effectively
Practice translating complex quantitative findings into simple, compelling narratives. You may be asked to present your insights during the interview, so focus on how you can communicate technical information to non-technical audiences clearly and engagingly.
✨Demonstrate Collaboration Skills
Highlight your experience working in teams, especially in fast-paced environments. Be ready to share examples of how you've collaborated with colleagues or clients to achieve strategic goals, as teamwork is crucial in this role.
