We are looking for a Marketing Data Scientist to become an integral part of our Insights team.
The Marketing Data Science team works closely with Marketing partners to support all aspects of Depop's marketing portfolio.
From working to support the team plan campaigns and measure performance across a suite of channels to paid marketing (for example, Google Ads and Instagram), ATL (for example TV and OOH) and Influencers.
This team also works with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, and the Adtech team to implement new tools and tracking across our marketing ecosystem.
This individual will support our marketing team to measure the effectiveness of our marketing efforts using analytical methodology and insights.
They will also work on developing Depop's measurement methodologies, implementing techniques like crafting and analysing the results of geo incrementality studies, Marketing Mix Modelling (MMM) and Multi-Touch Attribution.
Working with the wider Marketing Data Science team, this person will gain knowledge of how your area fits into the overall marketing ecosystem.
This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions.
Responsibilities: Direction-setting: you will be encouraged to become a thought partner for the Marketing team, helping to identify growth and optimisation opportunities using a variety of data sources and analytical techniques.
This includes working with other analysts in the team to develop and implement consistent measurement techniques around topics like ROI, brand awareness, LTV, incrementality, audience targeting & saturation, etc.
Getting things set up and BAU support: You will work closely with our Marketing team to help monitor performance, including setting up reporting in our BI reporting tool Looker.
You will work closely with other Marketing Analysts to make sure we have a joined approach to measurement across both our digital marketing and brand marketing activities.
Campaign support: you will help our Marketing teams design and test campaigns, and conduct campaign analysis to identify opportunities to optimise performance.
The nature of campaign analysis will vary depending on the campaign, but may include Causal Inference Techniques, Marketing Mix Modelling (MMM), and setting up Geo Tests to measure incrementality.
Making sure the business knows the numbers: you will become a key point of contact for our Marketing team and wider business for all things data, and you will engage with various stakeholders across the business to ensure decisions are as data-driven as possible.
Requirements: Consistent track record as an analyst with a wide range of experience under your belt with previous experience in a digital marketplace and/or mobile first environment Exposure to marketing analytics and an awareness of measurement methods and challenges for marketing An analytical mind with great problem solving skills and a love of numbers Commercial awareness and a proactive approach to make a difference and drive impact Working proficiency in SQL and the ability to work with large, complex and sometimes fragmented datasets Proficiency in using Python/R packages for marketing measurement or for Data Science/Analytics projects The ability to communicate complex problems and analysis simply with a variety of collaborators and act as a link between technical and non-technical colleagues Experience delivering in a high performing, data-driven analytics or data science team A hunger to learn, natural curiosity and an eye for detail A strong sense of ownership and highly organised nature Bonus points for: An understanding of a range of mass reach marketing channels, for example: TV, Out-of-Home, Partnerships, SVOD/OTT and familiarity with the media planning process and measurement opportunities for these channels Experience measuring performance of Marketing channels through methods such as: MMM Geo Testing/Incrementality Studies Causal Inference Multi-Touch Attribution Experience working with app first businesses and measuring marketing effectiveness on mobile platforms using tools such as MMPs Application of Econometrics modelling methods Familiarity with tools like Looker, Google Analytics and Branch #J-18808-Ljbffr