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- Tasks: Support data science lead and manage measurement dashboards for impactful data insights.
- Company: Join WPP Media, a leader in creative transformation and innovative data solutions.
- Benefits: Enjoy competitive pay, health benefits, paid time off, and a vibrant work culture.
- Why this job: Be part of a dynamic team transforming marketing through data and technology.
- Qualifications: Strong analytical skills, knowledge of Python and SQL, and a passion for data.
- Other info: Hybrid work model with opportunities for growth and collaboration.
The predicted salary is between 28800 - 43200 £ per year.
About WPP Media WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth.
About Choreograph: A Leading WPP Media Brand Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
Role Summary and Impact The primary focus of this Senior Analyst role is to support our data science lead, as part of the embedded data tech & analytics team, in ‘The Pharm’. This is a crucial role to support our efforts in transitioning to a data and technology led account, creating customised data offerings for our client.
Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
What you’ll be doing:
- Ensure weekly update on measurement dashboard.
- Liaise with channel implementational teams to ensure measurement dashboard is accompanied by appropriate analytical commentary explaining both the results and the action being taken off the back of them.
- Support data science lead in ad hoc tasks as necessary.
- Liaise with measurement partners over gathering and organising their datasets into usable formats.
- Data cleaning and organisation- as directed by data science lead.
- Contributing to the code base of the team in both SQL and python.
What you’ll need:
- Strong analytical, quantitative, and problem-solving skills.
- Good knowledge of both Python and SQL for data manipulation and analysis.
- Experience of utilising APIs.
- Competence in MS Office.
- Willingness to learn new tools and systems.
- Interest in analytics, technology and AI and its applications in communications.
- Good organisational skills.
- Excellent verbal, written and interpersonal skills.
- Team player but also able to determine workload and be self-motivated.
- General enthusiasm for growth and a willingness to be hands on.
- Demonstrated experience in data cleaning.
Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please note this is a UK based role and requires individuals to have the right to work in this location.
Data Analyst employer: WPP Media
Contact Detail:
WPP Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at WPP Media on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects. Show us your analytical prowess and problem-solving skills!
✨Tip Number 3
Don’t just focus on the technical stuff; embrace WPP's core values. Think about how you can demonstrate being extraordinary and leading collectively during your interview. We want to see your passion for creativity and collaboration!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at WPP Media.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with Python, SQL, and data cleaning, as these are key skills we're looking for. Show us how your background aligns with our mission at WPP Media!
Show Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Use specific examples of how you've tackled analytical challenges in the past. We love seeing how you’ve used data to drive decisions or improve processes.
Be Yourself: We value authenticity, so let your personality shine through in your written application. Share your enthusiasm for data and technology, and how you see yourself contributing to our team culture at WPP Media.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures it gets to the right people. Plus, it’s super easy to do!
How to prepare for a job interview at WPP Media
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially for data cleaning and manipulation. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Understand WPP's Culture
Familiarise yourself with WPP Media's core values and mission. Think about how your personal values align with theirs and be prepared to share examples of how you've demonstrated similar values in your previous roles. This will help you connect with the interviewers on a deeper level.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and problem-solving. Practice explaining your thought process when tackling analytical challenges. You might even want to prepare a few examples where you successfully solved a complex data issue, as this will highlight your analytical skills.
✨Show Enthusiasm for Learning
WPP Media values growth and development, so express your eagerness to learn new tools and systems. Share any recent experiences where you took the initiative to learn something new, whether it's a programming language or a data analysis technique. This will demonstrate your commitment to personal and professional growth.
