Data Analyst
Moving Walls
Data Analyst
Moving Walls
Automates OOH planning, buying, and measurement
We want you to:
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc).
Conduct deep dives into data trends and potential data irregularities using advanced analytics and statistical methods
Develop, validate, and maintain weighting methodologies, sampling techniques, outlier detection, and statistical modelling for new and existing products
Analyse historic trends and construct a mathematical model for forecasting
Identify business insights, trends and opportunities based of your analyses
You have:
Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Quantitative Sciences or other related fields
Experience in trend analyses, multivariate statistics, bias reduction, data aggregation techniques & automation
Domain expert in areas such as demography, sampling, statistical modelling, audience measurement, and weighting
Proficient in Microsoft Excel, Python, R, Tableau or other data visualization tools
Proficiency with Social Analytics tools such as Google Analytics, Omniture Sitecatalyst, Webtrekk.
2+ years of experience in Advertising/ Media Planning/ Media Research
Automates OOH planning, buying, and measurement
Moving Walls provides a global software platform for Out-of-Home advertising that automates planning, buying, execution, and measurement across digital and static billboards, indoor and transit media. Its Moving Audiences platform aggregates inventory and lets buyers pick screens and time slots based on audience data and movement trends, while processing large data sets to measure audience presence and campaign results with features like optimization, content management, real-time monitoring, and post-campaign analytics. A key differentiator is its patented multi-sensor location-based measurement, enabling precise targeting and retargeting of OOH audiences with mobile ads, along with carbon-footprint tracking for digital screens. The goal is to make OOH campaigns more accountable and data-driven, improving targeting, measurement, and monetization across the entire OOH ecosystem.
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