Data Analyst
Location: Hull
Location type: Hybrid
Who we are…
GlobalData operates an intelligence platform that empowers leaders to act decisively in a world of complexity and change.
By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what’s coming, move faster, and lead with confidence.
Our solutions are used by over 5,000 organizations across the world’s largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth.
Why join GlobalData?
GlobalData is at a pivotal point in its growth journey and we need curious, ambitious, courageous people to support us in achieving our vision to deliver intelligence that transforms uncertainty into opportunity for the world’s most successful organizations.
Our big ambitions mean that life at GlobalData is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result in unique learning opportunities for our people.
The role…
We are seeking a Data Analyst to join our Media division and play a key role in delivering audience, membership, product, and business intelligence insights across a growing global media organisation.
This is a highly collaborative role that sits at the intersection of Data Analytics, Business Intelligence, Analytics Engineering, and applied Data Science. You will work closely with teams across Product, Editorial, Marketing, Membership, Commercial, and Data to transform complex datasets into actionable insights that support audience growth, engagement, retention, and strategic decision-making.
The successful candidate will be comfortable working across the full analytics lifecycle—from data acquisition and preparation through to modelling, analysis, reporting, visualisation, and stakeholder engagement. You will help unify and manage data from multiple platforms and sources, supporting the development of scalable reporting and intelligence capabilities across the business.
What you’ll be doing…
Audience & Membership Analytics
- Analyse reader, subscriber, and member behaviour to identify trends, opportunities, and areas for growth.
- Develop insights that support audience acquisition, engagement, retention, and content performance.
- Provide data-driven recommendations based on behavioural, transactional, and engagement data.
Business Intelligence & Reporting
- Build, maintain, and improve dashboards, reports, and self-service analytics solutions.
- Translate business requirements into meaningful metrics, KPIs, and reporting frameworks.
Data Management & Analytics Engineering
- Work with large-scale datasets from a wide range of internal and external sources.
- Support the integration, cleansing, validation, and standardisation of data across a diverse data ecosystem.
- Help unify data from multiple platforms and systems into consistent analytical models.
- Contribute to the optimisation and ongoing management of data pipelines and analytical workflows.
Advanced Analytics & Data Science
- Apply statistical and analytical techniques to identify patterns, trends, and opportunities within audience and membership data.
- Support the development of segmentation models, recommendation frameworks, predictive analysis, and other advanced analytical initiatives.
- Contribute to the creation and enhancement of intelligence products and analytical capabilities that support business growth and decision-making.
Stakeholder Management & Collaboration
- Partner with Product, Editorial, Marketing, Commercial, Membership, and Data teams on shared initiatives.
- Work across both the Media division and wider global data organisation to deliver analytical projects and insights.
What we’re looking for…
- Experience in a Data Analyst, Business Intelligence Analyst, Analytics Engineer, or similar role.
- Advanced SQL skills and experience working with large, complex datasets.
- Strong Python skills for data analysis, automation, modelling, and data processing.
- Experience working with cloud-based data platforms such as Snowflake and Google BigQuery.
- Experience using business intelligence and data visualisation tools such as Power BI, Tableau, Looker, or equivalent platforms.
- Strong understanding of data modelling, data preparation, and analytics best practices.
In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit careers.globaldata.com
GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
LI-HYBRID LI-UB1
