Responsibilities:
Own performance analysis across all content and product formats providing deep, cross-cutting analysis that shapes content and product strategy across the business
Build and maintain analysis of user-level engagement joined to audience persona and subscription lifecycle, establishing what drives acquisition, engagement, retention and churn
Design and test hypotheses in support of the subscriber growth plan, framing the question, running the analysis and presenting a clear answer
Work closely with senior editors and desk leaders, understanding their priorities, translating analysis into practical editorial recommendations and challenging assumptions with evidence
Provide the performance input into regular editorial reviews, supporting decisions on which content and formats to stop, start or scale
Develop and curate our self-serve reporting environment so that editors have trustworthy, relevant data at the point of decision
Use and develop AI tools to scale analysis and reporting, automating routine performance work and building systems that deliver insight to editors in the flow of their day
Safeguard the quality of editorial performance data, owning metric definitions, ensuring consistency across platforms and identifying where numbers cannot be relied on
Build the evidence base behind major content investment decisions, including our premium subscription proposition
Build editorial capability in using performance data, coaching editors and desk leaders to interpret and act on insight confidently as part of everyday decision-making
Work with colleagues across the Data Intelligence Unit to develop the underlying data capability the role depends on
Communicate findings clearly and regularly to editors, journalists and non-editorial stakeholders
Partner with the Subscriptions Director on the subscriber growth plan, ensuring performance analysis directly informs subscription and retention strategy as well as editorial decisions
Requirements
Strong technical analytical skills, including SQL and experience working directly with a modern data warehouse and product analytics tools
Experience analysing subscription or membership businesses, including cohort retention, lifecycle analysis and the drivers of churn
A track record of analysis that has changed decisions, not only reported on them
Practical experience using AI tools in analytical work, and an interest in how they can be applied to reporting and insight at scale
Experience with Amplitude (or similar product analytics platforms), with the ability to help build data literacy within the content department
Confidence working with senior non-technical colleagues, explaining analysis in plain language and holding a position under challenge
Genuine curiosity about content and audiences, and an interest in how good journalism performs
Comfortable setting priorities and working independently within an agreed plan
Experience in publishing, media or another subscription business is desirable
Experience building AI-assisted reporting or automation is desirable
Knowledge of racing and sports betting is welcome but not essential
Benefits
We offer a range of well-being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings. We also provide a pension scheme and various other benefit schemes. Plus, we all get our birthdays off work and enjoy 25 days of holiday per year.
We’ve also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication. For those working via the hybrid model (in the office and at home) we’ve made commuting easier with our Season Ticket Loan and Cycle to Work Scheme.
You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership. We believe in making a positive impact beyond the workplace, and you'll have the chance to volunteer two days per year with our charity partner.