Data Analytics Engineer

📍 Location: Athens (Greece) 💼 Seniority level: Mid - level 🏙️ Office requirement: 1 day per week 📝 Employment type: Permanent / full time employee 🗣️ 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 Data Analytics Engineer to play a key role in our Data Operations team in Athens. 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 our Data Analytics Engineer you'll focus on ensuring the quality and integrity of our data at every stage of the pipeline. Using our internal tools, you will work with data from our various consumer surveys, clean and process it, validate its accuracy, and load it to our customer platform. You’ll also be responsible for investigating and resolving any discrepancies in the data.

Beyond day-to-day data processing, you’ll take ownership of improvements to tooling, documentation, and workflows, and contribute to cross-team initiatives. You’ll also act as a point of contact for more junior team members, offering guidance and peer reviews.

You'll work closely with colleagues across Data Automations, Research, Engineering, and Product to support the delivery of our core offerings.

Main responsibilities:

•Clean , transform, and load our datasets to prepare them for analysis
•Perform advanced data quality checks and troubleshoot data issues independently
•Own and improve elements of our data validation and delivery processes
•Collaborate with product and engineering teams to align on tooling and workflows
•Document and maintain robust, reproducible data processes
•Proactively contribute to knowledge sharing and technical discussions within the team
•Support onboarding or mentoring of junior team members where needed

Our Data Operations Team  is actively engaged throughout the entire data life cycle including data cleaning, data processing, data validation, designing and automating data workflows, and investigating new approaches to use and connect our data. From automated testing and intelligent product features to custom analytical solutions, we are supporting the business at every level: as data is at the very core of what we do. 

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:

👉 Suitable educational qualifications in mathematical, computational, statistical sciences (or a related field) 👉 Demonstrable experience using Python to manipulate and transform data 👉 An appreciation for data quality, attention to detail, and thoughtful documentation 👉 Experience working with structured data pipelines in a collaborative team-based environment using shared code, tools, and workflows 👉 A collaborative mindset and willingness to contribute to team culture and shared goals 👉 Strong communication skills, with the ability to explain technical topics clearly and contribute to an open, supportive team culture 👉 A proactive and structured approach to delivery, prioritisation, and problem-solving 👉 An understanding of how your work supports broader business goals, and the ability to apply that perspective to your projects   Nice to have 👉Experience in market research or working with survey data
👉Experience with shared script repositories and version control (e.g. GitHub)
👉Basic knowledge of databases, data warehousing and working with command line tools 👉Hands-on experience using Jira and Confluence 👉Familiarity with cloud services, particularly GCP
👉Experience using Jupyter notebooks  

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 interview with 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: 

Global benefits 🌎: 

🌴 Tons of days off: 25 days annual leave | End-of-year office closures  🧘 Great work-life balance: Flexitime | Early Friday finishes | Work-from-anywhere options | ‘Work from home’ budget 🏡 Family-focused flexibility: Carer days | Enhanced parental leave | Private insurance for you and your 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

Location-specific benefits 🇬🇷:

🎓 Generous training budget, including a fully paid international conference each year for Engineering and Data Science roles 📱 Mobile phone contract and restaurant ticket options  🏥 Private health insurance plan

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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