Data Methods Analyst

We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Worldpanel provides brands and retailers with a unique, 360-degree understanding of consumer behaviour across the globe. We are shopper-centric, continuously monitoring the purchase and usage behaviour through the largest omnipanel in the world. With unparalleled datasets, pioneering technology and expert analysts, we partner with brands and retailers of all sizes, empowering them to reimagine what’s possible, and change the landscape to create a better, healthier, more sustainable and inclusive world.

Job Details

Job Title & Location

Data Methods Analyst

Westgate, London

About Us

Kantar’s Worldpanel Division operates continuous consumer panels collecting detailed product purchasing and usage information in GB and Ireland. Panel members report their behaviour across a wide range of markets including grocery, snacking, fashion, entertainment and telecoms.

Our business in GB and Ireland is largely concerned with the analysis of consumer behaviour in terms of purchase choice, stores visited and amount of spend. Our client base is varied and includes product manufacturers, retailers, academic bodies and city institutions. Kantar Worldpanel’s Operations division is responsible for the end-to-end process of producing our data from collection and processing of raw data through to the production of end user databases and reports.

We are currently in the process of setting up a range of new products and services using ground breaking big data platforms and approaches.

The Data Methods team are responsible for understanding and optimising the processes used for collecting, processing and reporting our panel data.

Role Purpose

This this is an entry-level role, which will have a balance between focusing on our new services and platforms, including those running in our Databricks platform, while also looking to understand our more mature services and how we can improve and transition those over to using more modern and optimised processes.

Candidates will be expected to work on identifying areas for improvement, assessing what enhancements should be made and working with other teams to implement these changes.

Main Duties and Responsibilities

Day-to-day:

• Able to perform analysis to investigate issues and starting to form views on how new processes ought to be constructed.
• Co-ordinate work with Technology and Product teams.
• Able to contribute both to BAU enhancements and to work under the umbrella of a project.

Understanding the Wider Business:

• Develops a broader understanding of the Operations functions.
• Develop an understanding of the Commercial usage of our data.
• Develop a broader understanding of our direct competitors.

Training & Development:

• Take ownership for self-development and where available participate in structured training.
• Gains proficiency in all relevant databases, data interrogation and reporting tools (for example Databricks, SQL, Python , Excel, MyWorldpanel etc.)

Communication & Collaboration:

• Continue to develop professional working relationships across the business (including Commercial) and externally. Particular focus on collaboration across Technology, Operations and Product.
• Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email).
• Adhering to deadlines and calling out where there is a risk of delays
• Is able to demonstrate and role model best practise and techniques including positive communication style.
• Displays a proactive attitude when working both within and outside of the team.
• Demonstrates clear, direct and to the point communication at Data Methods team meetings.

Issue Management and Best Practice:

• Proactive identification and root cause analysis of service issues, and resolution of these, to mitigate any impact to the quality of our data.
• Support regular service review meetings with Team Managers and Leadership team to establish priorities and future requirements.
• Working closely with other department internal partners (e.g. Client Delivery, Data Acquisition) to capacity plan and support new projects or service enhancement initiatives.
• Knowledge sharing through the team, in either team meetings or day-to-day with the wider Data Methods team.

Resource Management:

• Organising your workload efficiently.
• Adhering to schedules.
• Contributing to resource planning for all BAU and projects.
• Start to build the skills necessary to be able to resource plan.
• Raising any risks to deadlines and capacity challenges.

Measures of Success

• Actively manage their own workload to deliver all tasks and projects as requested by their manager to deadline
• Begin to demonstrate improvements that they have made to the service(s) that they work on.
• All work is delivered to the quality standard expected
• Escalation of issues where appropriate with evidence of root cause analysis and service knowledge being used to help drive the solution. Subsequent implementation of additional checks/change of processes where required.
• All necessary knowledge and skills are acquired to perform in the role, including service knowledge, technical skills and personal skills
• Is collaborative when seeking help and support from the relevant teams/individuals
• Actively supporting junior members of the team
• Appropriate and timely responses to all requests and can effectively say “no”
• Adopt appropriate communication style internally and externally
• Demonstrate appropriate business etiquette and ways of working (e.g. meetings, minutes, agendas)
• Demonstrate growing rapport with internal partners in the service they work on, other members of the Operational team and any third-party suppliers.

What you’ll get from us

• 25 days annual leave (excl. bank holidays), plus your birthday off!
• Flexible benefits across health, wealth and lifestyle
• Extensive training and excellent scope for career development
• A collaborative and supportive work environment!

Reasonable Adjustments

Kantar is committed to offering equal opportunities to all individuals including during the recruitment process. If you require any reasonable adjustments or assistance, please advise us in advance of your interview so that we can make the necessary arrangements.

#LI-HP1 #LI-Hybrid

Country

United Kingdom

Why join Kantar?

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.