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- Tasks: Join us as a Junior Data Analytics Engineer, ensuring data quality and integrity.
- Company: GWI is a leading consumer research platform, providing insights for brands and agencies globally.
- Benefits: Enjoy 25 days off, flexible work options, and family-focused benefits.
- Other info: Hybrid work model with a commitment to diversity and inclusion.
- Why this job: Make a real impact in a dynamic environment while growing your skills and career.
- Qualifications: Experience with Python and a passion for data; willingness to learn is key.
The predicted salary is between 28800 - 48000 ÂŁ per year.
️ Office requirement: Hybrid/ Once per 2 weeks in office
️ Language: All stages of the recruitment process will be conducted in English
At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Junior Data Analytics Engineer to play a key role in our Data Analytics Engineering Department in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.
Sounds great, what will I be doing?
As ourJunior Data Analytics Engineeryou’llfocus on ensuring the quality and integrity of our data throughout the pipeline. You\’ll use internal tools to process and validate data from our global surveys, making sure it’s accurate and ready for use on our platform.
It’s also fun; shaking things up is what working for a growing company is all about. So you’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment as we grow.
What do I need to bring with me?
You’ll need to be able to demonstrate the core skills this role requires. You don\’t have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for:
Experience using Python to manipulate and transform data
A passion for working with data, ensuring its quality, and documenting your work carefully
Strong attention to detail and a proactive approach to solving problems
A collaborative and growth mindset with an interest in sharing ideas, learning from others and open to feedback
Good communication skills — you’re able to explain technical topics to non-technical teammates
Strong attention to detail and a proactive approach to solving problems
Bonus if you also bring:
Experience with survey data, cloud platforms (like GCP), ETL pipelines, databases, or version control tools (like GitHub).
Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, exemplified by our leadership team, and they’re a big part of what we’re looking for in you.
Interview steps
Preliminary phone call with the Talent Team(no video required)
First video interview with the hiring managers
Second (and final*) video interviewwith the hiring panel, often including a presentation, followed by a values conversation with members of the wider GWI community.
*Don’t be alarmed if there are other stages in the process, it’s all part of the plan for some of our roles.
What exactly is GWI?
GWI is modernized consumer research; global, on-demand, and accessible to everyone, not just data experts. Our platform is designed for companies looking for fresh and insightful data about their consumers’ values, purchase journeys, media usage, and social media habits.
With data representing the views of nearly 3 billion people across 52+ countries, GWI has become the go-to for agencies, brands, and media companies that want to know what really drives their audience to action.
Since launching in 2009 we’ve grown at a healthy pace, and to maintain this growth we need more extraordinary people. Hence this ad. Hence you.
What’s in it for me?
You’ll do the sort of work that got you excited about your career in the first place – not as a cog in a machine, but as an individual whose contribution matters. So gigantic job satisfaction comes as standard, but it’s only part of the package. You’ll also get:
Tons of days off: 25 days annual leave | Xmas office closures
Great work-life balance: Flexitime | early Friday finishes | Work-from-anywhere options
Family-focused flexibility: Carer days | Enhanced parental leave | Health cash plan for your family
A commitment to YOU: Accredited learning programs | A commitment to mental and physical health | Reward and recognition programs | Career development opportunities
A commitment to the community: DE&I committee | Volunteer options | 100% donation matching | Payroll giving options
Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.
Diversity, Equity & Inclusion
We take DE&I seriously. Not only is it obviously the right thing to do, it’s also the bedrock of our value of show respect and at the heart of our company culture.
We’re a global data business, so it’s essential our data reflects the global reality. Putting diversity into practice like this literally makes our business stronger.That’s why we strive to make our offices – and our teams – as diverse as our data. Want to know more? Take a look at our Life page on LinkedIn to learn more about our DE&I initiatives.
The point is, GWI is a place where you can genuinely feel at home, express yourself, and make your mark – whoever you are.
As a Disability Confident employer, we encourage applications from disabled candidates and are dedicated to providing all relevant assistance during the application and interview process.We also encourage individuals from all backgrounds, including those from underrepresented and marginalized communities, to join our team.
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Junior Data Analytics Engineer employer: GWI
Contact Detail:
GWI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analytics Engineer
✨Tip Number 1
Familiarise yourself with the tools and technologies mentioned in the job description, such as Python for data manipulation. Having hands-on experience or projects that showcase your skills can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss your problem-solving approach in detail. Think of specific examples where you've tackled data quality issues or collaborated with others to improve processes, as this aligns with the collaborative mindset they value.
✨Tip Number 3
Since communication is key, practice explaining technical concepts in simple terms. You might be asked to present your ideas or findings, so being able to convey complex information clearly will impress the hiring panel.
✨Tip Number 4
Research GWI's values and culture thoroughly. Be ready to discuss how your personal values align with theirs, especially regarding diversity, equity, and inclusion, as this will demonstrate your fit within their team.
We think you need these skills to ace Junior Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Python and data manipulation. Emphasise any projects or roles where you ensured data quality and integrity, as this is crucial for the Junior Data Analytics Engineer position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and your willingness to learn. Mention specific skills that align with the job description, such as attention to detail and problem-solving abilities, and how they can contribute to GWI's goals.
Showcase Your Communication Skills: Since good communication is key for this role, consider including examples in your application that demonstrate your ability to explain technical concepts to non-technical audiences. This could be through previous work experiences or academic projects.
Highlight Your Growth Mindset: GWI values a collaborative and growth-oriented mindset. In your application, mention instances where you've learned from feedback or collaborated with others to solve problems. This will show that you align with their company culture.
How to prepare for a job interview at GWI
✨Brush Up on Python Skills
Since the role requires experience in using Python to manipulate and transform data, make sure you can confidently discuss your previous projects or experiences involving Python. Be prepared to answer technical questions or even solve a coding problem during the interview.
✨Show Your Passion for Data
Demonstrate your enthusiasm for working with data by sharing examples of how you've ensured data quality in past experiences. Discuss any relevant projects where you validated or processed data, highlighting your attention to detail and proactive problem-solving approach.
✨Prepare for Collaborative Discussions
As collaboration is key in this role, be ready to discuss how you work with others. Think of examples where you shared ideas, learned from teammates, or received feedback. This will show that you have a growth mindset and are open to collaboration.
✨Communicate Clearly
Good communication skills are essential, especially when explaining technical topics to non-technical teammates. Practice articulating complex concepts in simple terms, as this will help you stand out during the interview process.