At a Glance
- Tasks: Transform complex data into actionable insights for audience growth and engagement.
- Company: Join a global media organisation with a collaborative and inclusive culture.
- Benefits: Enjoy health perks, flexible work options, and opportunities for professional development.
- Other info: Diverse workplace with excellent career growth potential.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic media environment.
- Qualifications: Experience in data analysis, strong SQL and Python skills, and familiarity with BI tools.
The predicted salary is between 35000 - 45000 £ per year.
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.
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.
Data Analyst in Kirk Ella employer: GlobalData Plc
GlobalData Plc is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. With a focus on strategic client relationships in the pharma sector, employees benefit from a hybrid working environment in London, fostering collaboration and innovation while enjoying competitive benefits and opportunities for professional advancement.
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We think this is how you could land Data Analyst in Kirk Ella
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We think you need these skills to ace Data Analyst in Kirk Ella
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at GlobalData Plc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
