Data Analyst
Role details
Job location
Tech stack
Job description
- Campaign Management - delivery and optimisation of direct-sold campaigns, trafficking, QA and client service support.
- Ad Tech Ops and Partnerships - yield management, SSP relationships, inventory strategy, deal management and auction optimisation. Ownership of the advertising technology stack including ad server, header bidding, identity and consent integrations, measurement solutions and platform performance.
- Revenue Intelligence - revenue analysis, yield reporting, forecasting support, performance diagnostics and data-led commercial insight to drive monetisation strategy and optimisation.
As a Data Analyst, you will translate the modeled data into decisions, revenue forecasts, partner performance narratives, yield optimization recommendations that go to stakeholders (sales, finance, programmatic, ad tech).
You will work closely with the Ad Operations and Data Engineering team to make sure data is accurate, accessible, and ready for analysis. Your work will help the company optimise revenue, run experiments, and lay the foundation for AI-driven automation.
This is a unique opportunity to learn ad tech, revenue analytics, and AI-enabled decision-making while developing strong engineering skills, writing clean, production-ready code, building scalable data pipelines, and contributing to a high-impact team.
Diversity, Equity and Inclusion
- We champion diversity in our teams and in our reporting. As a growing and global brand, we must have a workforce that's more representative of our readers, viewers, clients and partners, and a workplace that creates a sense of belonging for everyone
- We are committed to hiring and developing a diverse workforce regardless of background, and we support our people to thrive in their careers here.
The Independent is an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly., * Proactively develop and automate data-driven recommendations for revenue optimisation and partner strategy.
- Design, run, and analyse A/B tests to support yield and revenue optimisation decisions.
- Enable self-serve analytics by building robust, reliable datasets for commercial teams instead of fielding individual report requests.
- Use AI tools to speed up analysis and get to insights faster.
- Implement automated testing, monitoring, and alerting within the data pipelines to catch discrepancies in revenue, yield, or partner data before they reach downstream dashboards.
- Learn and contribute to ad tech operations and revenue optimisation projects.
Requirements
- You hold a degree in a business-related field (such as Economics, Business Analytics, or a STEM subject).
- You have a solid grasp of fundamentals like SQL and Python and are eager to master the modern data stack.
- You don't just flag problems, you look for solutions, take ownership of your tasks, and tackle complex challenges head-on.
- You're naturally curious, you ask why, and you don't stop until you've got a real answer.
- You manage your time effectively and thrive in a fast-moving, commercial environment.
- You communicate effectively by building well-documented, intuitive data models that business users can explore autonomously.
- You're keen to use AI and modern tools in your day-to-day work, rather than defaulting to spreadsheets.
- You work well under pressure and can juggle shifting priorities., * Track record of taking ambiguous data problems from initial scoping to final delivery.
- Confident in SQL, with some Python.
- Familiar with modern BI tools.
- Good written and verbal communication, comfortable presenting to stakeholders.
- A strong interest in exploring AI, automation, and predictive analytics to drive business value.
- An interest or background in setting up and evaluating A/B tests.