Data Analyst

## About Automated Creative Automated Creative (AC) is an ad tech platform that makes, scales, and optimises ad creative for digital platforms using live campaign data. We position ourselves as the fastest way to create, scale and test performance ads with our proprietary marketing technology platform Creator. We have three clear value propositions for our clients: data-driven creative at speed and scale; test and learn what works and why; and reduce non-working media costs. We have helped brands including Mars, Brown Forman, Bose, Tonies, Specsavers, Lipton, Formula 1, and Suntory Global Spirits innovate their digital advertising. AC is eight years old, independently owned, and London-based, with team presence in Toronto, Argentina and New Zealand. We are scaling rapidly due to successes across clients and are looking to expand our team of advertising and technology-obsessed people in London. ## The Role This is an execution-focused, high-impact front-end data role. You will be the primary owner of dashboard builds, tagging accuracy, and data structure for your assigned clients. Your work is what makes it possible for strategists and CS teams to make evidence-based creative decisions: and ultimately what makes AC's product genuinely valuable to clients. Our proprietary technology is powered by our own creative data, linked to performance data from all major ad servers, enabling us to analyse and optimise creative performance at scale. Currently, Client Success teams validate dashboard data against ad server reporting, but there is a desire to improve and strengthen this QA process as the function scales. You will work closely with the Creative Strategist, Client Services teams across our Plus (managed service) and Platform (SaaS) business lines, and the Product team. We are looking for someone who can: - Independently build, maintain, and QA dashboards for assigned clients using AC's proprietary platform (full training will be given) - Own tagging accuracy: applying taxonomies, retagging sprints, and running regular tag health checks with the support and oversight of the Head of Strategy - Compile clean, well-structured data summaries and reporting decks that strategists can interpret and present - Flag data anomalies, missing tags, broken builds, and data risks before they become problems - Use AI tools actively to improve the speed and quality of data work - Be reliable, proactive, and easy to work with: the kind of person who does not need to be chased ## What the Day to Day role looks like ### 1. Dashboards & Data Maintenance - Build and maintain dashboards for assigned clients: applying the correct metrics, filters, and tags from a brief or template - Proactively flag tag errors, missing data, or anomalies to the strategist or CS team - Keep dashboards up to date as campaigns evolve, ensuring data is current and accurately reflects what is being tested - Understand the key metrics used across the funnel for your clients and keep a working knowledge of why they matter ### 2. Tagging & Data Architecture - Apply existing tag taxonomies accurately to ads and campaigns - Retag sprints and build new tag categories under a strategist's / CS's direction - Run regular tag and taxonomy health checks across priority clients, flagging when structures need updating - QA the tagging work of others and document known data quirks in the correct Drive folders - Contribute suggestions for improving tag structures when you spot ways the data could be more useful ### 3. Reporting & Data Summaries - Build well-structured data decks and reporting summaries: compiling performance data, applying the right visualisations, presenting in a format the strategist or CS team can use - Identify the top-performing creative variables and headline metrics in a sprint, and flag what the strategist should look at first - Ensure the data layer is accurate, clearly labelled, and ready to be interpreted: you own the data; the strategist owns the story - Support the strategy and CS teams with ad hoc data pulls and analysis requests ### 4. Product, AI & Ways of Working - Be a proficient and confident user of our platform: especially tags, data builds, and QA - Flag bugs, inefficiencies, or data issues directly to the Product team via the strategist - Use AI tools actively to improve the speed and quality of your data workflow: tagging, formatting, anomaly detection, reporting templates - Document your data work clearly in the correct Drive folders, and share tips with the wider team so others can understand and replicate it - Manage your own time and deliverables across multiple clients using Asana and the strategy task tracker ## Ideal Profile You are an analyst from a media or research background, or someone who has been doing data and reporting work in a marketing or adtech environment and wants to go deeper. You do not need to be a data scientist: but you need to love clean data or be an Excel lover, take genuine pride in accuracy, and be curious about how creative performance works. You have a 'I'll google / Chat GPT that' to work it out mentality; but you won't blindly copy and paste answers without fully understanding them. You'll love telling a story with data, and be comfortable on the data end but also turning that into slides for clients too, we'd love the role to be client-facing too presenting your own work with the help of your Manager, the Head of Strategy. ## Essential - Comfortable working with data: you can build a structured report, spot an anomaly, and explain clearly what you found - High attention to detail: errors in data have real consequences and you take that seriously - Organised and reliable: you manage your own task list, hit your deadlines, and do not need prompting - Some experience working around marketing and digital advertising: you want to understand why the creative data you are working with matters - Easy to work with: collaborative, responsive, and clear in how you communicate - Familiar with spreadsheets and data tools (Google Sheets, Excel, or equivalent)