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Analytics Translator

Are you comfortable with running client projects in evolving organisations? Are you a natural Product Owner on the intersection between business and data? Are you able to convert ideas into an AI strategy and then execute it? Do you get excited when starting a new data project in your collaboration with the data science and engineering team? Are you passionate about bringing products to production? Then we want you!

As an Analytics Translator (AT) it is your job to address the “So what?” question of AI and data. To do this, an AT speaks multiple languages: business, data and tech. Alignment of these 3 elements is required to ensure data projects produce real, timely, and human-centered benefits. Are you ready to make this happen?

What will be your impact?

As Analytics Translator at Xomnia, you advise clients about how data products will add value to their organization, and help them develop these data products. This means that you’ll be creating data strategies, exploring use cases with stakeholders, designing and running experiments to prove a model’s value, assessing and implementing the responsible side of AI, and delivering complex data products together with a team of data scientists and engineers. Analytics Translators do their job by fulfilling several different roles on projects, such as strategic AI advisor, AI project / product manager, AI ethicist, or AI evangelist.

The Analytics Translators at Xomnia do diverse work in a variety of sectors. For instance in the logistic sector where our analytics translator has worked together with a team of data scientists and engineers on a delay predictor, allowing for the business to anticipate in their planning process. Or in the governmental sector where we have built a platform to speed up the search for specific data, reducing the wait time for customers. Another example is the pharmaceutical sector where a recommender system was built to increase the cross selling margins.

Your profile

• 5+ years of experience in digital consultancy and a proven track record of impact with data-driven projects
• Master’s degree in business and/or tech
• Team player with strong communication skills and storytelling capabilities
• Business-savvy, well developed stakeholder management skills
• Hands-on experience with analytics tooling like python, R, Azure/AWS/GCP, Power BI, Qlik, Dataiku, Docker / Kubernetes or others
• Project management skills like Agile Scrum or SAFe
• A strong network within the data field is considered a plus

What we offer

• Competitive salary
• Professional network
• Laptop of choice
• Work-from home package
• Office in the heart of Amsterdam
• Annual & personal bonus
• €5.000,- Development budget
• Xomnia trips
• Ability to take unpaid leave
• 25 vacation days
• Cool merchandise
• Organized team activities
• Option to buy shares at Xomnia
• Pension scheme
• Phone allowance
• Full compensation of travel costs
• Free healthy lunches at the office
• Friday drinks every week

About us

We are Xomnia, the AI consulting company. We’re curious problem-solvers who believe data will change the way we live, work and communicate. Being at the forefront of this revolutionary change in a sustainable, positive way is what drives us.

We work on challenging data science and engineering projects, from start to finish. From leading a program at a large organisation to achieve value out of their data, to setting up a customized recommender engine in an existing Cloud environment - we develop and deploy tailor-made data science solutions.

Xomnia started in 2013 in one room in the heart of Amsterdam. These days we take up nearly two houses and it still feels like home. Like any family, we all feel comfortable just being ourselves.

Do you feel like you are a good fit with the requested profile and are you enthusiastic about Xomnia, then apply now!
Note; For this specific position, we are looking for a candidate that has an EU citizenship as we don’t offer any visa sponsorship.

Vacature informatie

Bedrijf:
Xomnia
Locatie: Amsterdam
Opleidingsniveau: WO
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