Senior Technical Analyst, Marketing & Reader Revenue

Senior Technical Analyst, Marketing & Reader Revenue

London, United Kingdom

Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.

We are now looking for a Senior Technical Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian’s priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis.

The team’s primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You’ll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies.

About the Role

• Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery.
• Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency—ensuring these are consistently measured and aligned with strategic goals.
• Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making.
• Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences.
• Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes.
• Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions.
• Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour—and share insights to elevate team and organisational understanding.
• Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows.
• Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling.

About You

• Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals.
• Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis. Writes clean, well-documented code and follows good documentation/versioning practices.
• Strong expertise in KPI development—particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking.
• Applied knowledge of experimental testing (A/B and multivariate)
• Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely
• Open, inclusive team contributor—willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery.
• Comfortable with ambiguity and structuring analysis from first…