Data Processing Executive - Worldpanel Plus

Kantar Added Value

Job Description

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.
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Job Details

Have a flair for numbers? Interested in consumers? Fancy working on an app? Then read on…

At Kantar Worldpanel we are passionate about using data to understand how people shop, and we are constantly evolving our services to uncover new insights. In the summer of 2017 we launched our app Shoppix (https://shoppixapp.com/) which allows users to snap images of their receipts and answer surveys in exchange for rewards. The app has now been downloaded by well over 200,000 people in the UK and we are planning to expand into new countries.

Due to the growth of our service we are currently looking for a highly motivated individual with a background in data analysis and strong technical skills to join our Panel Quality team in an exciting and varied role. You will have a unique opportunity to learn about how we harness data from the app and deliver value from the data, developing your analytical thinking and technical skills. As part of a large and growing organisation there is significant scope for long term personal and career growth within Kantar, both locally and abroad.

The purpose of this role is Implementing and defining the key processes required for the production of continuous, high quality data from the Shoppix app, with a focus on continuously improving our understanding of the app user base and driving efficient processes.

Nobody knows consumers better than Kantar. Providing insight and inspiration to help clients flourish in an extraordinary world, we bring together 9 of the world’s leading research, data and insight brands. Our global team of 30,000 people in more 100 countries delivers specialist insight, business strategies and consultancy support.

KEY OUTCOMES

  • Oversee the migration of data processing tasks into the Panel Quality team from a variety of different teams, working to automate and optimise existing processes and then taking accountability for these running successfully on-going
  • Monitor measurement statistics and KPIs on the overall health of our panel and make recommendations on how we can improve our reporting dashboards, including setting up automatic alerts where appropriate
  • Support the Panel Quality Lead in maintaining ongoing quality management activity, addressing issues and challenges identified
  • Proactively analyse data trends, providing recommendations on how to improve our data collection
  • Handle a wide range ad hoc analysis and insight requests – for example investigating user engagement, fraud or the quality of transcription achieved by OCR
  • Ensure Panel Quality processes and methodologies are followed, updating these when necessary
  • Develop and maintain relationships with other teams, including developers, data scientists and commercial colleagues

CAPABILITIES  

  • Educational background in Mathematics, Statistics, Information Systems or similar
  • Previous experience in a relevant data-focussed role, using advanced data analysis techniques
  • Experience of FMCG data analysis is desirable but not essential
  • Strong technical aptitude is essential – familiarity with SQL, Python and SAS is highly desirable
  • Comfortable working with data management and reporting tools and familiar with the principles of high volume data mining
  • Ability to demonstrate a logical thought process
  • Attention to detail and drive to achieve high quality of deliverables
  • Strong relationship building, teamwork, and communication skills and confidence to take the lead
  • A willingness to get hands-on with our data at every stage in its journey through our systems
  • Flexibility to adapt to rapidly changing priorities
  • A passion for working with data and apps

JOIN US

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 competitive and also to 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.

At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients.  Kantar is committed to inclusion and diversity, therefore we welcome applications from all sections of society and do not discriminate on the basis of age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status or any other legally protected characteristics.

PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (“Kantar”). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit www.kantar.com. 

Location

London, WestgateUnited Kingdom

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 competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

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.

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