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At Numerator, we believe tomorrow's success starts with today's market intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Our regional division, Worldpanel, manages ongoing consumer panels that collect detailed information on product purchases and usage in stakeholder countries France, Spain, Great Britain and Ireland. Panel members report on their behaviour across a wide range of markets, including food, personal care, snacks, drinking habits, retail, fashion, and haircuts. Our business focuses primarily on consumer behaviour analysis. Our client base is broad and diverse, including brand manufacturers, retailers, media companies, and municipal institutions.

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

Role Purpose:

For us it is critical to maintain industry-leading data integrity and assurance standards alongside delivering data on time. As Data Quality team member (within the Data Statistical methods department), you will be responsible for working to investigate data outliers, provide root cause analysis for these and collaborate to recommend and deploy solutions.

Main Duties and Responsibilities:

Day to Day:

Able to act independently under guided supervision to investigate issues
Co-ordinate work and build strong relationships with On-Shore team members
Ability to root cause diagnose issues and queries within complex data sets
Excellent written and verbal communication skills to effectively communicate with diverse audiences.
Able to form views on how new processes ought to be constructed.
Able to contribute both to BAU enhancements and to work under the umbrella of a project.

Understanding the wider business:

Develop a basic 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.
Gain proficiency in all relevant databases, data interrogation and reporting tools (for example Excel, MyWorldpanel etc.)

Communication & Collaboration

Ability to collaborate across peers in operations, technology and product teams
Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email)
Adhering to deadlines and escalating where there is a risk of delays
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 Data Methods issues and development of best practice solutions to improve the underlying methodology and processes.
Support regular methodology review meetings with Manager and Leads to establish priorities and future requirements.
Knowledge sharing through the team, in either team meeting or day-to-day with the wider Data Methods team
Able to think through complex processes and how to construct and improve them, considering in detail the positive and negative implications of different approaches and how to test and assess them.

Skills & Requirements

Education & Experience

Masters, Doctorate Degree
3+ years experiences

Tools

R (advanced)
SAS (intermediate)
Excel (intermediate)
Python (intermediate-basic: ability to read and understand existing code and identify issues) - Nice to have
Power BI (basic) - Nice to have

Passion and Drive

Passionate about data quality, integrity and best practices
Passionate about delivering high quality data to clients on schedule
Your dynamism, curiosity, rigor, sense of teamwork and ability to organize are essential assets for your success in this role.

Communication

Ability to communicate complex technical concepts to stakeholders in simple language
Good English communication, presentation, interpersonal and writing skills
Good listening skills
Good online, virtual, and in-person collaboration skills
Comfortable presenting panel and data methods to external audiences (internal)

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