At a Glance
- Tasks: Analyse complex datasets and design data solutions for clients' strategic goals.
- Company: CIL, a global growth strategy consultancy with a friendly and inclusive culture.
- Benefits: Competitive salary, hybrid working, generous holiday, and personal coaching.
- Why this job: Join a dynamic team and make impactful decisions that shape business growth.
- Qualifications: Strong academic background in quantitative disciplines and programming experience.
- Other info: Rapid career progression and exposure to high-level management from day one.
The predicted salary is between 38000 - 57000 £ per year.
CIL is a global growth strategy consultancy. We work with organisations on the decisions that shape growth, from value creation strategies to pricing, data and analytics. We have offices across the UK, US and Europe, and work across a wide range of sectors. Although we work in structured project teams, we are socially very equal, friendly and inclusive – our culture is the product of our people. Our values of excellence, integrity, and supportiveness guide how we work, both with clients and each other.
The Data, Analytics & AI team combines rigorous business thinking with modern analytical techniques to deliver clear, actionable insight. We support clients directly through analytics-led engagements and work closely alongside CIL's core consulting teams. Recent projects include developing a data strategy for a recruitment agency, building automated management dashboards for an IT services business, and delivering site-location analysis for a national bakery chain. The work is highly varied, both in analytical challenge and commercial context.
Your responsibilities will be varied, and you will:
- Grasp new business models quickly, typically working on a new project every 6-12 weeks.
- Design and build data solutions that help clients achieve their long-term strategic objectives.
- Analyse complex datasets using statistical and analytical techniques to identify insights, drivers of performance and sources of untapped value.
- Work directly with clients, including contributing to meetings and helping to present findings and recommendations. We strongly believe that early client exposure is central to professional development.
- Contribute to the development of CIL's internal data, analytics and AI capabilities, including tools, methodologies and ways of working.
We have a team of ~230 highly qualified, skilled people across our five offices. Successful CIL people share:
- A strong academic background from a top university. Relevant degrees include Economics, Mathematics, Computer Science, Data Analytics, PPE or similar quantitative disciplines.
- Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in small, high-performing teams.
- Intellectual curiosity, adaptability and a genuine enthusiasm for tackling new and unfamiliar problems.
- A proactive mindset, with the confidence to take ownership and the humility to learn quickly.
Core requirements:
- Outstanding numeracy, written and verbal communication skills.
- Exceptional research techniques and critical thinking ability.
- Business acumen and curiosity for solving business problems.
- Ability to communicate complex problems to non-technical audiences.
- Experience with at least one programming language (e.g. Python, R, Stata).
- Able to understand statistical concepts and how these apply to business problems (e.g. regression analysis, machine learning).
It would also be beneficial, but not essential, to demonstrate the following:
- Ability to process and analyse large volumes of data (e.g. SQL, Alteryx).
- Familiarity with at least one data visualisation tool (e.g. Power BI, Tableau).
- Familiarity with modern data platforms (e.g. Databricks, Snowflake).
- Familiarity with Generative AI and agentic systems.
- Familiarity with web scraping (e.g. Python, webscraper.io).
We are committed to being the best consultancy to work for in our field. As well as the benefits below, we pride ourselves on being flexible to the needs and personal circumstances of every single employee. The main benefits we offer include:
- Rapid, meritocratic progression, with exposure to investors and management teams from the start.
- Hybrid working, with a guideline of spending at least 80% of your time in-office for the first six months and 60% of time in-office beyond that.
- High-quality training delivered within a hugely supportive learning environment.
- Access to personal online coaching via Sanctus.
- Participation in our company bonus scheme.
- Matched pension contributions.
- Generous holiday entitlement (25 days) with option to purchase five additional days each year.
- Option to request an extended period of unpaid leave (e.g. for a sabbatical) once you have been with the company for 2 years or more.
- Option to join our company private healthcare scheme through Vitality, which includes a Dental, Optical and Audiological cash plan.
- Regular company events & socials.
Analyst - Analytics in London employer: CIL Management Consultants Limited
Contact Detail:
CIL Management Consultants Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at CIL on LinkedIn. Ask them about their experiences and any tips they might have for landing the Analyst - Analytics role. Personal connections can give you insights that a job description just can't.
✨Tip Number 2
Prepare for those interviews by practising your analytical skills. Brush up on your programming languages and statistical concepts, as you'll likely be asked to demonstrate your knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Show off your problem-solving skills! During interviews, be ready to discuss how you've tackled complex datasets in the past. Use specific examples to illustrate your thought process and how you arrived at your conclusions. This will help you stand out as a candidate who can deliver actionable insights.
✨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, it shows you're genuinely interested in joining our team at CIL. So, get your application in and let’s make it happen!
We think you need these skills to ace Analyst - Analytics in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analyst - Analytics role. Highlight your relevant skills and experiences that align with what we’re looking for, like your analytical prowess and teamwork abilities.
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples from your past experiences where you’ve tackled complex datasets or contributed to team projects. We love seeing how you’ve applied your knowledge in real-world scenarios.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. Remember, we want to see how well you can communicate complex ideas, so make it easy for us to understand your points.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at CIL!
How to prepare for a job interview at CIL Management Consultants Limited
✨Know Your Numbers
As an Analyst in Analytics, you'll need to demonstrate your strong numeracy skills. Brush up on statistical concepts and be ready to discuss how you've applied them in past projects. Prepare examples that showcase your analytical thinking and problem-solving abilities.
✨Showcase Your Technical Skills
Familiarity with programming languages like Python or R is crucial. Be prepared to talk about your experience with these tools, and if possible, bring along a portfolio of your work or projects that highlight your data analysis capabilities. This will show your hands-on experience and technical prowess.
✨Communicate Clearly
You’ll often need to explain complex data insights to non-technical clients. Practice articulating your thoughts clearly and concisely. Use simple language to describe your analytical findings and ensure you can convey the value of your insights effectively.
✨Demonstrate Curiosity and Adaptability
CIL values intellectual curiosity and a proactive mindset. Prepare to discuss times when you've tackled unfamiliar problems or adapted to new situations. Show your enthusiasm for learning and how you approach challenges with a positive attitude.