Job Description   

Senior Marketing Data Analyst 

 

Mondly by Pearson  

Join Mondly, a leading language learning app, now a part of Pearson, in our mission to revolutionize language education. With innovative technology and engaging content focussed on real-life scenarios, we have won the trust of over 100 million language learners since launch and are among the top 10 language learning apps. 

Our award-winning app teaches 41 languages to customers from 190 countries in 41 languages, making Mondly a global leader in language education. 

 

Role Overview  

The Senior Marketing Data Analyst will generate valuable insights for our global user acquisition, engagement and brand, promotion and pricing strategies.  Your role will be fundamental in supporting our paid advertising channels (Google, Facebook, Instagram, TikTok, YouTube, affiliates, influencers and others) as well as analysing the impact of pricing and promotional activities.  You will gather and analyse relevant data across various sources and produce accurate and insightful reports and recommendations. You will guide Data Engineers in selecting the right data reporting structures and models for our marketing efforts, interpret marketing campaign and commercial data, identify trends and make recommendations.  

If you enjoy diving deep into data and searching for hidden connections, this is the perfect role for you. You will be upgrading our marketing data insights and reporting, answering requests from business stakeholders and investigating new opportunities for adding value. You will communicate effectively with technical and non-technical people and drive critical business decisions. 

The Employee will report to the Head of Product Analytics but be fully dedicated to the Marketing team.  

 

High Level Responsibilities 

Generate valuable insights for digital marketing, pricing and promotions strategies in order to scale and increase revenue  Work closely with Data Engineers, providing needs and specifications for building data collection, data reporting and data visualization structures  Provide thorough data analysis on the impact of marketing performance and investments, establishing new KPIs which are underpinned by sound commercial outcomes.  Provide thorough analysis of the impact of price and promotional experiments, gathering data and providing clear results.   Work closely with colleagues across relevant departments to share trends and highlight commercial improvements across the customer journey   Compile and consolidate data insights and outcomes into actionable items, reports and presentations 

 

Key collaboration/interfaces: 

Marketing and Pricing  Product Management  Finance  Technology  

 

 

Skills and Competencies 

Proven experience in analyzing B2C marketing campaigns in terms of performance (including ROI, ROAS, CAC/LTV and other campaign KPIs)  Solid experience with mobile app-subscription business models  Experience working with BI tools   Proficiency in mobile and web analytics tools (Google Analytics, Google PlayConsole, App Store Connect, etc.) as well as an MMP (Singular preferred).  Knowledge of specific tools for data analysis, like Big Query, Excel, SQL, Python, Tableau, or similar  Ability to analyse and apply critical thinking to marketing, pricing and promotional initiatives taking into account immediate revenue impact and future renewal rates   Experience of attribution modelling a plus  Strong ability to articulate results and ideas in a concise manner using a variety of media and formats, be persuasive and convincing in front of a challenging audience   Excellent attention to detail and analytical skills   Ambition and drive for quality and results    Able to work in a fast-paced environment   Ability to coordinate and prioritize multiple workflows and stakeholders   Ability to deal with ambiguity, competing priorities and a wide variety of cultures and local markets differences  Excellent communication and presentation skills in English   Operates as a self-aware, effective team player 

 

Qualifications  

 

Degree or equivalent preferred in Data Science, Mathematics, Statistics, Finance, Economics, Marketing or related field