Numberly is recognized as one of the world's top specialists in Data Marketing with nearly 500 employees and 8 offices worldwide, serving over 500 leading clients (L'Oréal, Ipsen, Groupe Seb, Moleskine, Ouigo, Maje, HSBC). By putting technology at the service of brands and consumers, Numberly is at the heart of business growth and everyone's aspiration for a more responsible and relevant marketing. Numberly relies on the most recent advancements in data processing, analysis, and media activation, in a virtuous context combining business competitiveness and enhanced respect for privacy and data protection.
Job description, duties, and expectations
As a data analyst, you will be responsible for working with raw data from various RTB and CRM sources, using a rich technical stack: python, hive, , Jinja, etc.
The challenge is to exploit this data to extract business insights. Your daily realm will range from translating a client's needs into complex queries that retrieve data and then analyzing it to reach a conclusion that will inform decision-making on business issues. You understand the importance of, and can write and follow testing protocols. At the intersection of quantitive analysis and client context, you will play a key role in communication between various programmatic professionals (media traders, data scientists, project managers, developers, data engineers..).
This mission thus requires a dual appetite for data and the business context that you will get to learn every day alongside our Media Trading and CRM teams. Solid analytical skills are essential to correctly extract and process data. In addition, good development skills will allow you to quickly contribute to our internal study library (python).
You will also participate in the optimization of programmatic campaign performance in tandem with media traders, thanks to your quantitative input and analytical skills.
You will be proactive in proposing studies and will make strategic decisions to meet client objectives (conversion volume, acquisition cost, etc).
Your ability to take a step back should become an asset for suggesting improvements to existing tools and analyses.
Your role around data is as follows:
Internal for campaign optimization and the extraction of raw data, taking into account various biases
External for communication to clients, in their understanding of figures, notably through data visualization
Cross-cutting on:
Identifying recurrent needs and designing associated study templates.
Identifying and utilizing various data sources are key to this mission.
Keeping up-to-date, on tools and the ecosystem, by attending meet-ups and conferences for example.
Engineering school or master's degree with specialization or experience in data analysis, statistics
Dynamic, with a passion for ongoing improvement: suggestion of new angles of analysis, bridges between RTB and CRM, automation projects thanks to your technical skills
You have drive and leadership, you love to impart energy and the desire to understand, investigate and progress
Strong analytical capabilities, a knack for numbers and data
An interest in digital and relational marketing, a desire to draw business conclusions and marketing insights
Crucial interest in a complex and dynamic ecosystem
Curiosity, rigor, and conviction are required
Ability to work in a team with people of very different profiles
Skill/aptitude for data visualization
English written and spoken
Prior knowledge of the programmatic ecosystem and/or previous experience as a data analyst would be a plus.
Tools
Mastery of programming languages (Python preferably, another object-oriented language otherwise)
Mastery of database querying (, ...)
Mastery of spreadsheet tools (Google Spreadsheet or Excel)
Knowledge of data viz, dashboard, analytics tools would be a plus