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Senior Data Analyst (Acquisition)

dmg
On-site
London, ENG, United Kingdom

Senior Data Analyst (Subscriber Acquisition)


Location: dmg::media Headquarters – London
Position: Permanent 


 


Package Description


Our benefits package increases the longer you’ve been with us. Here’s what to expect:



  • 25 days’ holiday (increasing by 1 per year up to a total of 30)

  • Upon joining you will be automatically enrolled onto the Pension Plan at the minimum level of 5% employee contribution, 3% Company contribution. 

  • Life cover under the Pension Plan 4x your basic salary.

  • DMGT Discounts (for discounts on online shopping, vouchers and reloadable cards)

  • Subsidised canteen

  • Onsite gym (Northcliffe House only)

  • Onsite nurse and GP clinics (Northcliffe House only)

  • Our Employee Assistance Programme

  • Discounted dining cards


Plus many other benefits….


 


Job Introduction


DMG:Media seeks a talented Senior Data Analyst with demonstrable experience within customer acquisition analysis to join their growing Data & Analytics function to help support the success of Mail+ with the intelligent application of data and insights. You will be part of the central Analytics team but will work exclusively on Mail+; closely and predominately with your primary stakeholders - the Mail+ Subscriptions Team. This is a newly created role, where you will help shape the growth of an exciting new chapter in the history of MailOnline.   


You will have the opportunity to bring continuous improvement, evolution, and best practices of Subscriber Acquisition across multiple famous brands, including the world’s largest English language news site. You will ideally be a subject matter expert (SME) in Customer/Subscriber acquisition for an internet-based organisation and will be intimately familiar with web derived data, providing pivotal guidance and insights required to grow a new part of our business. 


 


Main Responsibilities


Including but not limited to:


 


Data Analysis & Reporting


Collect, analyse, and interpret data related to subscriber acquisition from various sources (e.g., website analytics, CRM systems, marketing campaigns). Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) such as conversion rates, acquisition costs, and customer lifetime value. Conduct A/B testing and other experimentation to identify the most effective acquisition strategies.


 


Subscriber Acquisition Optimization


Analyse user behaviour data to identify trends, patterns, and opportunities for improving the subscriber acquisition funnel. Collaborate with the marketing team to design, execute, and evaluate acquisition campaigns. Provide insights and recommendations for targeting, segmentation, and personalization of marketing efforts.


 


Market & Competitor Analysis


Perform market research and competitor analysis to understand industry trends and benchmark performance. Identify potential new acquisition channels and partnership opportunities.


 


Cross-functional Collaboration


 Partner with Product, Editorial, and Customer Success teams to align acquisition strategies with overall business goals. Communicate findings and insights effectively to stakeholders across the organization.


 


Stakeholder Collaboration for Product Improvement


Work closely and proactively with the Subscriptions Team to address product/service issues and opportunities identified to increase subscriber acquisition.


 


Customer Acquisition Campaigns


Work closely with Subscriptions Team to design and implement targeted customer acquisition campaigns based on the insights gained from your data analysis. Collaborate with stakeholders to inform personalized offers, promotions, and incentives to retain at-risk customers.


 


A/B Testing for Acquisition Strategies


Work with Subscription Team to analyse performance of A/B testing on various acquisition strategies to identify the most effective interventions. Iterate through strategies based on testing results and analysis to continually improve the effectiveness of acquisition efforts.


 


Subscriber Acquisition Forecasting


Develop forecasting models to predict future churn rates based on historical data and traffic trends. Provide accurate and timely forecasts to enable proactive decision-making and inform strategic planning.


 


Develop Data Culture


Foster a subscriber-centric culture by promoting awareness and understanding of acquisition dynamics through the proactive application and sharing of data analysis across the organisation.


 


Automation and Scalability


Implement automated processes for routine acquisition analysis tasks to improve efficiency – most likely in the form of regular reporting. Encourage a culture of continuous learning and innovation within the team. Establish and monitor key performance indicators (KPIs) related to subscriber acquisition. Regularly report on the progress of acquisition strategies, highlighting successes and areas for improvement. Devise and produce regular KPI Reporting and Key Metrics Monitoring.


Data Management


Ensure data accuracy and integrity across all acquisition metrics and reporting systems. Work with data engineering and IT teams to improve data collection processes and systems.


 


Ethics


Adhere to ethical standards in data collection and analysis, ensuring customer privacy and compliance with relevant regulations at all times.


 


 


Person Specification



  • 5+ years of demonstrable experience within Customer/Subscriber acquisition for an internet based business – ideally within Publishing/Media.

  • Strong and demonstrable experience and deep understanding of Data Analysis and related tools/techniques. Exhibit a high level of expertise in understanding web derived data and interpreting it within real life business situations.

  • Proficiency in data analysis/visualisation tools and languages (e.g., Excel, PowerQuery, SQL, Python, R, Microsoft PowerBI, Tableau, Jupyter Notebooks) as well as Cloud architectures (Google Cloud/Microsoft Azure) and data modelling.

  • Demonstrate experience of using machine learning tools and statistical techniques to produce solutions to problems.

  • High level of attention to data detail and thoroughness. Ability to think data end-to-end. Strong analytical thinking and problem-solving skills.

  • Ability to self-learn and acquire expertise rapidly in own and other related fields.

  • Ability to work with and without direction and deliver to deadline.

  • Confident, motivated, proactive, focussed on business objectives and a strong communicator.

  • Strong people skills, able to engage with a wide range of stakeholders at all levels.

  • Natural curiosity and desire to create something special in this once-in-a-career opportunity.


 


About dmg::media


“dmg media’s brands deliver highly engaging, trusted content to millions of loyal customers around the globe, 24-hours a day, seven days a week. The Mail brand reaches one in two Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country.*


Together, Daily Mail, The Mail on Sunday, MailOnline, Mail+, Metro, Metro.co.uk, i and inews.co.uk reach more than 10.1m people daily in the UK.*


 Globally, dmg media’s brands reach 190M unique browsers every month across its domains and apps.**


 Our newsbrands maintain an unwavering commitment to uncovering the stories that matter most to our readers, ensuring that we remain experts at delivering relevant and insightful content.


 In October, the Mail became the largest news publisher on TikTok with over 7- million followers. 


 


*PAMCo H2 2023


**GA 2023 September”





Our Commitment


We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.


We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.