At a Glance
- Tasks: Analyse data to provide insights and enhance audience reporting for TV and video measurement.
- Company: Kantar Media is a leading data and analytics company, driving insights for better decision-making.
- Benefits: Enjoy hybrid working, competitive pay, and a supportive environment focused on mental health and wellbeing.
- Why this job: Join a diverse team making an impact in audience measurement with innovative data solutions.
- Qualifications: Experience with data analysis, SQL, Python, and data visualisation tools like Power BI required.
- Other info: Open to all applicants with the legal right to work in the UK; no visa sponsorship needed.
The predicted salary is between 28800 - 42000 ÂŁ 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.
Job Title: Data Analyst
Location: London
Work pattern: Full time/Permanent/Hybrid working
#LI-Hybrid #LI-EH2 #LI-KantarMedia
This is a full-time permanent position, based in our London office. We operate a hybrid working arrangement and require a minimum of 2 days in the office.
We welcome all applications from those with the legal right to live and work permanently in the UK, without requiring VISA sponsorship now or in the future.
Role Description:
Reporting to the Barb Research Director, the Dovetail Data Analyst will work to deliver on Barb’s vision of an inclusive, audience-centric TV and video measurement that extends the scope of total viewing across content and advertising.
This role will combine data analysis and understanding of data science methodologies, leading on efforts to enhance our suite of audience reporting, including new Barb Panel Plus initiative which extends existing Dovetail reporting and combines fusion and calibration methodologies. In this role you will work closely with Barb, our stakeholders and data science and data integration teams to create clear briefs with the needs of the end client in mind, and oversee the testing and implementation of developments, as well as reviewing test data and signing off delivery. You will be involved in presenting data and testing findings to Barb and verifying client satisfaction with the end product in mind.
The Dovetail Data Analyst will interface closely with the product teams working on fusion and calibration methodologies. You will work to ensure smooth hand-offs for internal developments and providing an essential quality control over implementations to ensure the accuracy and reliability of the service.
As Dovetail Data Analyst, you will be responsible for content reporting of online viewing on small screens and connected TVs. You will have a thorough understanding of the calculations methodologies and client file specifications to support the Data Science and Data Integration teams in development, but also to support Client Service team in responding to end-user queries, as well as serving as an internal subject matter expert.
Key Responsibilities
- Drive efforts to enhance Dovetail/Panel Plus reporting, collaborating with stakeholders to identify new opportunities and working with internal teams to drive continuous improvement
- Analyse, organize and present audience data in a clear and intuitive way, to derive actionable insights and recommendations
- Prepare and present research findings, insights, and recommendations to key stakeholders and leadership teams.
- Collaborate closely with data science, data integration, data operations and other stakeholders to develop specifications that have the end data user in mind
- Serve as a subject matter expert on the Dovetail/Panel Plus file specifications and calculation methodologies, responding to internal and external queries
- Establish a close and productive working relationship with the Barb executive and stakeholders, becoming a trusted advisor on audience measurement
Skills & Experience
The ideal candidate will be able to demonstrate:
- Experience with multiple types of data – panel data, census data
- Experience and proficiency in the following:
- Database management proficiency / SQL
- Python (specifically for data analysis)
- Data visualisation (Power BI)
- Microsoft Office suite (Excel / PowerPoint)
- Familiarity with cloud data platforms (Data Bricks, Snowflake)
- Excellent communication skills, both verbal and written, with the ability to control communication flows; Client facing experience is an advantage.
- Numerate and analytical, comfortable with advanced mathematical and statistical concepts, with some understanding of marketing science analytics
- Experience of data analysis/and or analysing large datasets, Developer Skills are advantage
- Quick learner & self-starter who can use technical Forums when stuck with issues and willingness in investing time & effort to understand datasets associated with this domain.
Our offer
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 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.
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.
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 because of age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status, or any other legally protected characteristics.
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
Data Analyst employer: Kantar Media
Contact Detail:
Kantar Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with Kantar's products and services, especially those related to audience measurement and analytics. Understanding their offerings will help you speak confidently about how your skills can contribute to their goals during interviews.
✨Tip Number 2
Network with current or former employees of Kantar Media on platforms like LinkedIn. Engaging in conversations can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the Data Analyst role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your proficiency.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data visualisation tools like Power BI in past roles. Being able to demonstrate your ability to present data clearly and derive actionable insights will set you apart from other candidates.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Data Analyst position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: Emphasise your experience with data analysis, SQL, Python, and data visualisation tools like Power BI. Provide specific examples of projects or tasks where you successfully used these skills.
Craft a Compelling Cover Letter: Write a cover letter that not only introduces yourself but also explains why you are passionate about the role and how you can contribute to Kantar Media's goals. Make sure to mention your understanding of audience measurement and data methodologies.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. 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 Media
✨Showcase Your Data Skills
Make sure to highlight your experience with SQL, Python, and data visualisation tools like Power BI. Be prepared to discuss specific projects where you used these skills to analyse large datasets and derive actionable insights.
✨Understand the Role's Requirements
Familiarise yourself with the Dovetail/Panel Plus reporting and the methodologies mentioned in the job description. Being able to discuss how your background aligns with these requirements will demonstrate your genuine interest in the role.
✨Prepare for Client-Facing Scenarios
Since the role involves presenting findings to stakeholders, practice explaining complex data concepts in simple terms. Think of examples from your past experiences where you successfully communicated data insights to non-technical audiences.
✨Emphasise Collaboration Skills
The position requires working closely with various teams. Be ready to share examples of how you've collaborated with others in previous roles, particularly in data science or client service contexts, to achieve common goals.