
You will work on different projects to help Astrafy customers get the most out of their data. You will work on the business and technical sides of the customer use case.
On the business side:
- Collaborate with stakeholders to understand the business needs.
- Challenge and refine the requirements to ensure alignment with business objectives.
- Perform a thorough analysis of the client's database to assess the available data.
- Conduct workshops with stakeholders to validate KPIs.
- Define visualizations and the overall dashboard structure in Looker (using Miro or Figma)
- Build or refine the data model to support Looker’s data exploration (using BigQuery and dbt).
- Develop LookML models for transforming and structuring data.
- Ensure flexibility for users to explore custom reports.
- Focus on usability and clear data presentation.
- Leverage AI-driven solutions to enhance user experience
As part of the role, the candidate will also be encouraged to write articles, offering valuable insights and thought leadership to enhance Astrafy's impact further and foster greater collaboration within our field.
Your profile
- Experience with enterprise-grade BI tools is required (Looker, Looker Studio)
- Advanced knowledge of SQL is required
- Google Cloud knowledge (BigQuery, Cloud Storage, Cloud Function ...) is required
- Good understanding of dbt
- Good understanding of end-to-end pipeline design and implementation (ETL)
- Experience with dbt and Git is required
- Strong data visualization skills to convey information and results clearly
- Attention to detail and quality with excellent problem-solving
- You have an analytics and solution-oriented mindset
- You work well in a team as well as independently
- Excellent communication and collaboration skills (both with your colleagues as well as with external stakeholders)
- You speak English and French fluently
Was this list a bit much? Don't worry - we don't expect you to tick every box from the beginning.
Why us?
- An attractive salary package, with no blurry or hidden clauses. Everything we offer is open-source via our Gitbook. Check it out here (https://astrafy.gitbook.io/handbook/its-all-about-people/compensation).
- An exciting job where technology innovation is not a buzzword but a reality.
- Be part of a dynamic team that shares strong values. Check out our “Culture and Values” chart here (https://docs.astrafy.io/handbook/the-company/culture-and-values).
- Continuous training & development of soft and hard skills. Check out our training policy here (https://docs.astrafy.io/handbook/its-all-about-people/training).
- Flexible working hours and remote policies. Check it out here (https://docs.astrafy.io/handbook/the-company/remote-work).
- An excellent team of colleagues & regular team-building activities. Check it out here (https://docs.astrafy.io/handbook/its-all-about-people/team-building-and-retreat).
About Us
Our mission is to help companies and individuals solve data analytics challenges across the full data journey—from ingestion to transformation to distribution—leveraging a Modern Data Stack. We find that many organizations lack the internal expertise to harness emerging data tools, and we aim to educate them while implementing powerful solutions.
We achieve this by creating a new kind of consulting company that:
- Fosters Creativity & Strategic Thinking: We embrace out-of-the-box solutions tailored to each client’s needs.
- Prioritizes Education: We ensure every project delivers both technical solutions and the knowledge to sustain them.
- Invests in People: We nurture our employees’ growth and well-being, recognizing they are our most important asset.
About the company
Company website•Software Development
Astrafy is a data consultancy company with HQ in Geneva and offices in Madrid. Our mission is to help companies transform their data into a competitive advantage by creating a tailor-made data strategy, crafting the data architecture, and providing hands-on implementation using the next-gen data stack. It sets the data foundations for downstream applications to perform at best with curated data.
We are all modern data experts with a strong emphasis on Google Cloud as the backbone to run the data solutions we provide.
Our stack focuses on the following five pillars:
- Ingestion
- Transformation
- Business Intelligence
- Gen AI / ML
- DevOps/DataOps/MLOps
A key part of our service offering is education through custom courses, exams preparation and a data bootcamp.