Data Analyst

Informa PLC
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Description

As our Data Analyst you will support the Data Services Manager by ensuring the accuracy, consistency, and availability of Informa Markets' Engineering data assets, including customer, marketing, and event-related data critical to business operations primarily for the Solar Media acquired brands and products, with wider IME support as needed. In this role you will be involved in analyzing data, preparing reports, and providing insights to guide marketing strategies and business decisions. You will collaborate with business stakeholders, requiring strong interpersonal skills to communicate complex data insights effectively. The role requires translating complex data into business insights while balancing technical expertise with strategic thinking.

Responsibilities:

Maintain clean, accurate, and consistent data across all systems. Perform data segmentation and analysis to support marketing campaigns and business objectives. Prepare reports and visualizations that summarize key findings and provide actionable insights. Conduct market research and analyze data to identify trends, insights, and areas for improvement. Collaborate with business stakeholders to define data requirements and deliver insights that align with organizational goals. Communicate data-driven insights clearly to both technical and non-technical teams. Monitor and troubleshoot data quality issues, supporting investigations as needed. Provide ad-hoc analyses to support key business initiatives. Continuously seek ways to enhance and automate data processes for greater efficiency. Ensure timely delivery of reports and insights in line with business SLAs and deadlines. Document analysis processes, create data dictionaries, and maintain relevant technical documentation.

This is a hybrid role. With 2/3 days per week out of our central London office. 

Qualifications

Requirements:

Experience in data analysis, reporting, and visualization, preferably in a marketing or business context. Proficiency in data analysis tools such as SQL and Microsoft Excel. Experience with data visualization platforms like Tableau, Power BI, or similar tools. Moderate to advanced knowledge of Salesforce and its Objects, including proficiency in SOQL. Strong interpersonal skills with the ability to communicate complex data insights to non-technical audiences. Excellent attention to detail and ability to identify patterns and insights in large datasets. Comfortable collaborating across teams and working within tight deadlines.

Desirable:

Familiarity with marketing automation tools such as Eloqua, Pardot, or similar platforms. Experience with ETL processes and data migration. Understanding of Google Analytics, Adobe Analytics, or other web analytics platforms. Knowledge of marketing performance metrics and reporting best practices. Experience with data governance or compliance frameworks. Bachelor’s degree in a relevant field such as business, data science, or statistics.

Additional Information

We work hard to make sure Life at Informa is rewarding, supportive and enjoyable for everyone. Here’s some of what you can expect when you join us. But don’t just take our word for it – see what our colleagues have to say at

We offer:

Freedom & flexibility: colleagues rate us highly for the flexibility and trust they receive and most of us balance time in the office with time working remotely Great community: a welcoming culture with in-person and online social events, our fantastic Walk the World charity day and active diversity and inclusion networks Broader impact: take up to four days per year to volunteer, with charity match funding available too Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms and on-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves Time out: 25 days annual leave, rising to 27 days after two years, plus a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year A flexible range of personal benefits to choose from, plus company funded private medical cover A ShareMatch scheme that allows you to become an Informa shareholder with free matching shares Strong wellbeing support through EAP assistance, mental health first aiders, a healthy living subsidy, access to health apps and more Recognition for great work, with global awards and kudos programmes As an international company, the chance to collaborate with teams around the world

We’re not solely focused on a checklist of skills. We champion energy and ambition and look for colleagues who will roll their sleeves up, join in and help make things happen. If it sounds like a match and you have most – although not all – of the skills and experience listed, we welcome your application. At Informa, you'll find inclusive experiences and environments where all perspectives and backgrounds are welcomed. As part of this approach and our diversity and inclusion commitments, we are also formally an Equal Opportunities Employer. This means we base decisions on relevant qualifications and merit and do not discriminate on the basis of key characteristics and statuses, including all of those protected by law. Ask us or see our website for full information. See how Informa handles your personal data when you apply for a job here.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.