Analytics Engineer
Loop Earplugs, Belgium
Job Description
Hi there, we are Loop. We make earplugs. But not the mushy sound-muting kind. Ours don’t just block the sound; they filter it too. Oh, and they look smart and fit comfortably as well. Thousands of noise sensitive people went crazy for them, calling them ‘a life changer’.
Today, we’re one of the fastest growing DTC brands in hearables. And we keep on growing. Exploding even! Last year we increased tenfold our turnover and this year is as ambitious!
You know what’s growing too? Our data. No, really. Literally, every day we get more and more bits and bytes, everywhere in the company. We’re sitting on a sh*tload of data and we are only getting 10% of the potential insights and value out of it. It’s a pity, a shame and thé reason for hiring you as our Analytics Engineer.
From chaos to structure
That rigorous analytical attitude of yours? Let it loose!
- Bringing manageable and clear structure in our wild wild west of data, will be your main mission. Please be our MacGyver of data products at Loop.
- Done with the little bits of data chunks here and there. No longer are any extracts of substantial data being saved on someone’s personal space. You’ll become the superintendent of the data warehouse where all needed data comes in and gets sorted well.
- Obviously you are also supposed to send out trucks from your warehouse. Their cargo: validated data products that bring your stakeholders insights on their business. You’ll solve our main concerns about storing and managing data for long-term viability and security. And you’ll do it in a lean, cost-efficient and future proof way as well!
We know, that’s a bit of everything and together it’s a lot, with many parties invloved. Luckily, you’re a to-the-point communicator, who can show all stakeholders involved why it’s important to start sharing their data in another way. Moreover, you’re data-clever and you work in a very detailed way. Connecting two data sets with each other, they always match 100%. And you’re humble enough to only say you understand things, when you really do get them. Those points add to your credibility, which is again advantageous for your internal positioning.
From data to insights
Numbers are one thing, but transforming them into data insights is a whole other.
- You’ll join the team on setting up a solid data architecture that exceeds expectations.
- You eat APIs for breakfast and capturing all internal generated data, transforming it into structured data sets in our data warehouse up for powerful insights in a visualization tool sounds like your meal-prep routine. How sitting on numbers, becomes understanding them.
- Your service-oriented mindset combined with critical yet constructive challenging, makes your many dashboardsinsightful, fit-for-use and user-friendly across all departments. And since you’re so focused on details, everyone will always trust the quality of those dashboards.
- Your secret? You just embody all the Loop values, bringing simplicity and empowerment to the next level.
Importance of the job?
Do you wonder what your impact on our business will be? Our colleagues are hungry for your in(ter)ventions!
- Our commercial department cannot wait to have access to all global sales numbers, from owned and external marketplaces, via one click on the button. Can you show them instantly where customers came from, by linking sales data to channel and acquisition analytics? They’ll treat you like a god.
- Our customer service department is dying to get transparency in which customers and orders bring up what kind of issues. It would make their day-to-day so much easier.
- Our operations department is counting the days before they can solve those customer complaints more easily. Making a split between delayed versus undelivered shipments? A more accurate forecast for the next period? Learning algorithms on top of past sales figures? Bring them in!
- And let’s not talk about our founders and their constant need for insights!
Requirements
For this role there are only two basic requirements:
- For internal and external communication, you need to be fluent in English. It’s the only language you really need to connect with our local and global colleagues.
- You have to love numbers and think in an analytical way. And you have a passion for data architecture and tools. But at this point of the job opening, that cannot b