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Moving Walls

Automates OOH planning, buying, and measurement

Data Analyst

Data ScienceConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedRemote

About the Job

Requirements

  • A bachelor's degree or higher in Mathematics, Statistics, Computer Science, Quantitative Sciences, or another related field is required.
  • Experience in trend analyses, multivariate statistics, bias reduction, data aggregation techniques, and automation is required.
  • Expertise in demography, sampling, statistical modelling, audience measurement, and weighting is required.
  • Proficiency in Microsoft Excel, Python, R, Tableau, or other data visualization tools is required.
  • Proficiency with social analytics tools such as Google Analytics, Omniture Sitecatalyst, or Webtrekk is required.
  • At least 2 years of experience in Advertising, Media Planning, or Media Research is required.

Responsibilities

  • Gather and process raw data at scale, including writing scripts, web scraping, calling APIs, and writing SQL queries.
  • 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 on analyses.

About the Company

Moving Walls

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.

Company size
201-500
Company stage
Series A
Total funding
$3.8M
Headquarters
Singapore, Singapore
Founded
2013

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