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- Tasks: Analyse data processing and ensure quality for Kantar's audience measurement services.
- Company: Kantar Media is a global leader in data analytics and audience measurement across 80 countries.
- Benefits: Enjoy hybrid work options, competitive pay, and a supportive environment focused on mental health.
- Why this job: Join a diverse team driving impactful insights and decision-making in the media industry.
- Qualifications: Technical knowledge in data processing, SQL, and familiarity with cloud systems like Azure required.
- Other info: Kantar values diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we have the world’s fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to drive long-term business growth for our clients and partners.
About the Project/Role
Assistance with and assessment of system processing, configuration and data inputs and outputs for new and early-stage services. In a challenging environment it is essential that new and existing services process and deliver reliable and consistent information. The role of the Service QA Analyst is to understand and assess the data processing touchpoints with the objective of ensuring both initial and ongoing quality levels. The role requires developing familiarity with configuration options, data inputs, processing and the expectations of data consumers within the pipeline including and output. The Senior Data Analyst will work with other team members on specified service deliveries and report to the appropriate Work Stream lead. Data assessments will be conducted using guidelines developed by both by the analyst team and the Data Science group.
Job Role Requirements
- Understand overall architecture and function of Kantar Audience Measurement systems
- Develop functional knowledge of individual components
- Review and assess data inputs and outputs against service requirements
- Understand component and system configuration requirements for a service
- Contribute to developing tools and processes for checking and measuring service correctness
- Analyse and identify problems and assist in understanding causes and fixes
Profile/Skills
- The role will require a degree of technical knowledge to allow navigation of systems and assessments using IT tools.
- Familiarity with IT environments and data processing
- Ability to identify, describe and communicate issues
- Database and SQL knowledge
- Structured approach to problem solving and analysing information
- Python or similar skills (basic/intermediate) advantageous
- Experience with cloud-based systems and processing – in particular Azure
- Experience with examining and understanding data processing issues (e.g. testing)
- Knowledge of Linux systems, shell scripting and command line and file-based systems
- Knowledge of Cloud based environments and processing (e.g. Azure), storage explorer etc.
- Experience with media research – particularly TV, Internet or Radio audience measurement.
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 based on age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status, or any other legally protected characteristics.
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 to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. 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 and wellbeing is 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.
Privacy and Legal Statement
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.
Senior Data Analyst employer: Kantar Group
Contact Detail:
Kantar Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Kantar's Audience Measurement systems. Understanding the architecture and function of these systems will give you a significant edge during interviews, as you'll be able to speak knowledgeably about how your skills can contribute to their operations.
✨Tip Number 2
Brush up on your SQL and Python skills. Since the role requires database knowledge and programming capabilities, being able to demonstrate your proficiency in these areas will make you a more attractive candidate.
✨Tip Number 3
Gain experience with cloud-based systems, particularly Azure. If you can showcase any projects or experiences where you've worked with cloud environments, it will highlight your technical adaptability and relevance to the role.
✨Tip Number 4
Network with current or former employees of Kantar. Engaging with them on platforms like LinkedIn can provide you with insider insights about the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Data Analyst position. Understand the key responsibilities and required skills, such as familiarity with SQL, Python, and cloud-based systems like Azure.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your technical knowledge, problem-solving abilities, and any experience with data processing or media research.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of Kantar's mission. Mention specific projects or experiences that demonstrate your ability to contribute to their team and how you can help drive business growth.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Kantar Group
✨Understand the Company and Its Systems
Before your interview, take some time to research Kantar Media and its audience measurement systems. Familiarise yourself with their services and how they process data across various platforms. This will help you demonstrate your interest and understanding of the role.
✨Showcase Your Technical Skills
Be prepared to discuss your technical knowledge, especially in areas like SQL, Python, and cloud-based systems such as Azure. Highlight any relevant projects or experiences where you've successfully navigated IT environments and solved data processing issues.
✨Prepare for Problem-Solving Questions
Expect questions that assess your structured approach to problem-solving. Think of examples from your past experiences where you identified issues, analysed data, and implemented solutions. This will showcase your analytical skills and ability to contribute to service correctness.
✨Emphasise Your Collaborative Spirit
Since the role involves working with team members on service deliveries, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated with colleagues and contributed to team success, particularly in data analysis contexts.
