Data Analyst

Mintel
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst (Cars Data Science & Analytics) - Manchester, UK

Data Science Graduate

Data Analyst - Machine Learning

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Data Scientist

Data Scientist

What You Will Be Doing:

You will collaborate with data scientists, other data analysts and Mintel’s client-facing teams to support you while you independently build and deliver custom analytics reports and deliverables for Mintel’s clients via consulting engagements. You will become well-versed in Mintel’s data and Mintel’s analytics capabilities: helping to expand their use in our products and services while also helping to shape ongoing innovation and evolution of those capabilities. You will fetch data as needed from Mintel’s data warehouse (SQL and Snowflake), mine that data for insight using Python Jupyter notebooks and established methodologies built by Mintel’s data science team, develop value-add data visualizations using Python graphing libraries and BI tools (Looker). You will develop a positive relationship with the team, our stakeholders and our clients; building relationships that allow you to identify new opportunities for data and analytics at Mintel. Collaborate with members of the Data Science and Analytics team globally to ensure a consistent approach to technical developments and that continued research and development work is aligned with the needs of our clients. This includes partnering with data scientists to develop new capabilities based on the needs of the consulting teams and our clients while working with your manager to enhance DS&A client offerings and custom data solutions. Continually learning - as a part of a fluid, innovation focused team, you will stay current on emerging data science technologies and other quantitative techniques.

 Who We are Looking For: 

Data-Driven:You understand the concepts of a data analytics lifecycle from requirements gathering through technical analysis to delivery. You are able to rapidly organize information, draw conclusions, identify patterns, and succinctly communicate key points and translate your knowledge visually. You are an expert in SQL, you are adept at wielding a BI tool like Looker, and you are familiar with using a programming language like R or preferably Python for data analysis.Naturally Curious:You are naturally curious, looking for new opportunities or technologies that could elevate yours or others work.A Great Communicator:You are an effective communicator who can discuss difficult technologies while also focusing on the audience to tailor discussions. You are comfortable in a client facing setting on occasion. You have the ability to transform complex data into clear, concise datasets/insights based on stakeholders’ requirement; and ability to convey complex analytical concepts to non-technical stakeholders.A Collaborator:You bring an energy to the table that encourages and develops internal relationships. You seek out opportunities to collaborate with peers in your department and across the organization.Commercially-Minded:You are dedicated to quality, ensuring accuracy and efficiency in your work to elevate the value of our offerings.Self-Directed:You take initiative to solve problems and uncover opportunities, and you are eager to take ownership and accountability for client deliverables.Committed to Personal Growth:You are committed to continuous learning and growth, constantly pushing yourself outside of your comfort zone to develop your skill set.Humble:You are humble, yet confident. You willingly admit when you need help, and you know how and when to utilize the resources and people around you. You are also willing to share your own knowledge for the benefit of the team.You should have 2-4 years of experience within data analyticsand at least some exposure to stakeholder management. Having worked with data science teams and/or in a client facing setting (such as consulting) is a bonus.Willing to work for at least one to two hours per week during overlapping hours with the US and EMEA time zones outside of normal working hours.

What We Offer:

A culture that supports true collaboration whilst embracing remote working. Flexible start time and end time. Blended (office/home) approach to work. Approach to personal development where we encourage individuals to grow and share what they’ve learned. Social events, both within the department and across the company. Generous annual leave and wider circle employee benefits. Additional one day off to celebrate your birthday. Membership in Employee Resource Groups (Mintel Diversity, Mintel Wellness, and Mintel Gives). Giving back is part of our culture with this in mind, Mintel gives employees 2 days' leave per year to join local volunteering activities organised by our Mintel Gives (where applicable). Mental health and wellbeing support via Modern Health App. Beautifully designed offices foster collaboration and fun.

Mintel is an equal-opportunity employer that is committed to the strength of an inclusive workplace. 

#LI-JP1 #HYBRID

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.