Sr. Data Analyst

Sr. Data Analyst

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Senior Data Analyst, assessing data processing and ensuring quality across services.
  • Company: Kantar Media helps partners navigate the advertising landscape with audience measurement and analytics.
  • Benefits: Enjoy a hybrid work model, competitive pay, and a focus on mental health and wellbeing.
  • Why this job: Be part of a diverse team driving impactful insights in a flexible and inclusive environment.
  • Qualifications: You need familiarity with IT environments, SQL, and basic Python skills; media research experience is a plus.
  • Other info: We welcome applications from all backgrounds and encourage you to apply even if you're not an exact match.

The predicted salary is between 36000 - 60000 ÂŁ per year.

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Media help partners understand the changing advertising landscape. Specialising in audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media, their global coverage and local expertise enable better understanding of media audiences and their relationships with brands.
Kantar Media is a wholly owned but operationally independent part of the Kantar Group.
Job Details
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.
Job Title: Senior Data Analyst
Location: London, Grays Inn Road
Full time/Permanent/Hybrid
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.
Essential

  • 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)

Ad vantageous

  • 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 United Kingdom
Why join Kantar?
We pride ourselves on understanding people, and what makes us think and act the way we do.
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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    Marketing Services

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Sr. Data Analyst employer: Kantar Media

Kantar Media is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee wellbeing and professional growth. Located in the vibrant city of London, we provide flexible working arrangements and a commitment to diversity, ensuring that every team member feels valued and empowered to contribute to our innovative projects in audience measurement and analytics.
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Contact Detail:

Kantar Media Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Sr. Data Analyst

✨Tip Number 1

Familiarise yourself with Kantar's audience measurement systems and their architecture. Understanding how these systems function will give you a significant edge during interviews, as you'll be able to discuss specific components and their roles in data processing.

✨Tip Number 2

Brush up on your SQL skills, as database knowledge is essential for this role. Consider working on sample projects or exercises that involve querying databases to demonstrate your proficiency and problem-solving abilities.

✨Tip Number 3

Gain experience with cloud-based systems, particularly Azure. Familiarity with cloud environments can set you apart from other candidates, so explore online courses or tutorials that focus on Azure and its data processing capabilities.

✨Tip Number 4

Network with professionals in the media research field, especially those who have experience with audience measurement. Engaging with industry experts can provide valuable insights and potentially lead to referrals, increasing your chances of landing an interview.

We think you need these skills to ace Sr. Data Analyst

Data Analysis
SQL Knowledge
Python or Similar Programming Skills
Problem-Solving Skills
Understanding of IT Environments
Database Management
Cloud-Based Systems Experience (e.g. Azure)
Familiarity with Data Processing Issues
Knowledge of Linux Systems and Shell Scripting
Attention to Detail
Analytical Skills
Communication Skills
Experience in Media Research (TV, Internet, Radio Audience Measurement)
Ability to Work in a Team Environment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Analyst role. Focus on your familiarity with IT environments, data processing, and any experience with SQL or Python.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Kantar Media. Mention specific projects or experiences that demonstrate your problem-solving abilities and technical knowledge, particularly in data analysis and audience measurement.

Showcase Relevant Skills: Clearly outline your technical skills in your application. If you have experience with cloud-based systems like Azure or knowledge of Linux systems, make sure to include these details as they are advantageous for the role.

Highlight Team Collaboration: Since the role involves working with other team members, emphasise your ability to collaborate effectively. Provide examples of past teamwork experiences where you contributed to successful project outcomes.

How to prepare for a job interview at Kantar Media

✨Know Your Data

Familiarise yourself with Kantar's audience measurement systems and the specific data processing methods they use. Be prepared to discuss how you would assess data inputs and outputs, as well as your experience with SQL and Python.

✨Demonstrate Problem-Solving Skills

Prepare examples of how you've approached and solved data-related issues in the past. Highlight your structured approach to problem-solving and your ability to communicate complex issues clearly.

✨Showcase Technical Knowledge

Brush up on your knowledge of cloud-based systems, particularly Azure, and be ready to discuss any experience you have with Linux systems or shell scripting. This will demonstrate your technical proficiency relevant to the role.

✨Emphasise Team Collaboration

Kantar values teamwork, so be ready to share experiences where you've successfully collaborated with others on data projects. Discuss how you can contribute to developing tools and processes for checking service correctness.

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