Data Analyst

Wiley
united kingdom
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Location: Remote, UK

As a Data Analyst in the Wiley Research & Learning Marketing team, you will play a crucial role developing important datasets that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We’re looking for a creative thinker, someone who can turn disparate data tables into valuable information and use it to develop an insights narrative that is clear and accessible to stakeholders. We have rich data landscape at our fingertips, this role is a key advocate in it’s practical use and constant exploration to the benefit of marketing effectiveness.

How you will make an impact:

Develop SQL queries to extract and manipulate data from our Snowflake database. Explore data to identify trends, patterns, and opportunities for optimization. Develop and maintain strategically insightful reporting dashboards, ensuring that key stakeholders have access to actionable data to support decision-making processes. Evaluate marketing and publishing campaigns. Utilize data analysis to assess the effectiveness of various campaigns, identify areas for improvement, and optimize performance. Provide strategic recommendations based on data insights to influence business strategies and enhance overall performance.

We are looking for people who:

Experience (2+ years) as a Data Analyst, with demonstrated proficiency in using complex SQL queries to analyze and manipulate large datasets. Strong analytical and problem-solving skills, with the ability to convert data into actionable insights. Great communication skills, capable of conveying complex technical concepts to non-technical stakeholders. Proficiency in data visualization tools such as Power BI, or similar. A passion for academic publishing and a keen interest in the latest trends in the publishing industry is advantageous. Experience with Snowflake or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus.

About Wiley

Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world’s most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today’s biggest obstacles into tomorrow’s brightest opportunities.

With over 200 years of experience in publishing, we continue to evolve knowledge seekers’ steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers and learning champions all while striving to support the health and well-being of all employees, for example we offer meeting-free Friday afternoons allowing more time for heads down work and professional development.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley’s good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the UK, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for UK, Canada and USA based roles. 

#LI-AW1

#LI-REMOTE

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.