WE GO BEYOND THE OBVIOUS, USING INTELLIGENCE, PASSION AND CREATIVITY TO INSPIRE NEW THINKING AND SHAPE THE WORLD WE LIVE IN. TO START A CAREER THAT IS OUT OF THE ORDINARY, PLEASE APPLY...
JOB DETAILS
Kantar Profiles is a market-leading data company and home to the world’s largest audience network. Many of the world’s leading brands trust us to collect reliable insights from global panellists, faster. We are passionate about the work we do, and the impact we have on our clients’ businesses is far reaching.
At Profiles, we start with 100% quality sources, add in advanced technology, and finish with a generous helping of expertise. This is why more than 2,000 brands trust us for our decades of experience and we are proud to have:
Proven track record for building higher quality panels and superior sampling engines
Award-winning expertise on blending samples and managing fieldwork
Exclusive access to proprietary tools for faster, efficient data collectioN
Engaged panellists who consider us industry-leaders in their NPS and Trustpilot scores
Patented methods for detecting and preventing fraud
Established relationships with world-leading publishers and data suppliers
JOB DESCRIPTION
You will be responsible for assisting in foundational research and analysis of classifications of audiences, look-alike audiences, and behavioral clusters resulting in the creation of ontology / taxonomy of market research-oriented audiences to be used for AI applications.
MAIN TASKS
Research and document existing industry-standard methods of organizing panelist profile data / research audiences
Apply text analytics and text mining techniques to analyze large quantities of unstructured historical survey data to identify survey categories and sub-categories
Analyze relationships between panelist-level profile attributes and actual survey qualification data to identify audience clusters
Work with Data Science and Business Leadership to design an audience ontology framework that can be applied in the context of critical business questions around supply / panelist acquisition, demand forecasting, pricing, profiling strategy, etc.
ROLE REQUIREMENTS
Degree (or significant coursework) in mathematics, data science, statistics or similar
A curious mindset and interest in market research
Fluent in English (essential)
Working knowledge in data analysis (particularly analysis of unstructured data) and related programming languages: R, Python, SQL, SAS (plus factor)
Good teamwork spirit
LOCATION
New York, Work from Home United States of America
KANTAR REWARDS STATEMENT
At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitiveand alsoto support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health andwell beingis taken into consideration.
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.
Kantar is the world’s leading data, insights and consulting company. We help clients understand people and inspire growth. We have a complete, unique and rounded understanding of people around the world: how they think, feel and act, globally and locally in over 90 markets. We don’t just help clients understand what’s happened, we tell them why and how they can shape the future.