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Data Analyst
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We are looking for a Data Analyst to join our team.
**About the job
***:
**What you'll do**:
At Craftzing Data, we are looking for a data analyst who can help organisations prepare **analyses** for business stakeholders. Your main tasks will be
- ** Collecting** and **cleaning** **data** to support **business decisions** (or, as well often be the case: work together with teams who collect and clean the data);
- Setting up **queries** and **analysis workflows** to create **insights** from the data;
- Develop efficient ways to **present** these **insights **(through presentations, dashboarding, etc.).
On a day-to-day basis, you will be working as a consultant for one or several of our clients. You will be their main go-to point when it comes to data insights and, therefore, you will be the one responsible for creating these insights. Depending on your level of expertise, analysis may range from explanatory data analysis to advanced machine learning. Whatever level you are at right now, our data scientists will support you from the scientific point of view whilst our data designers and visualisers will stimulate you to improve your presentation and communication skills. In the long term, we will help you develop an even broader skillset so you can take up responsibilities as, for example, business analyst, data scientist or data visualiser, whichever direction of growth you prefer.
On top of that, you will be working directly with our managing partner (dr. Maarten Vanhoof) to develop trainings and use cases on data analytics. Overall, we will strive to offer you projects where you can have an impact on an organisation while still developing your business and data skills.
**We're looking for***:
- Some kind of proof that you have worked as a Data Analyst before or that you have the competences to work as one. This could be a portfolio, some use cases attached to your CV, a small presentation or something alike. If you don’t have such proof, make sure you write an excellent motivation letter as to why you would fit in this position.
- Excellent communication skills in Dutch. As our clients are mostly Flemish companies, your Dutch really needs to be sufficient to make for clear and effective communication.. As our clients are mostly Flemish companies, your Dutch really needs to be sufficient to make for clear and effective communication.
- Good knowledge of data science concepts and, at least, one programming language to translate them in (Python, R, Matlab,)
- Good knowledge of databases and, at least, one query language to use them (probably SQL)
- Good knowledge of statistics.
- Good knowledge of one (or several) BI software packages (Tableau, PowerBI, you name them)
- Experience with data visualisation coding libraries is a huge plus (d3.js, matplotlib, ggplot, processing, p5.js)
- Experience with machine learning is a huge plus (Sci-kit learn or other packages)
- Experience with cloud computing is a plus (AWS, Microsoft Azure,)
- Experience with big data is a plus (Hadoop, Spark,)
**Why you'll love us**:
- You will get the chance to develop yourself as a data analyst (by mentoring you in projects, by paying for your education and by putting your development first whenever we can).
- You will work with a supporting team of data enthusiasts.
- You will work on a diverse set of projects (ranging from client work to educational material).
- You will work in close collaboration with our managing partner dr. Maarten Vanhoof. Maarten is a data expert who has been leading data analysis and visualisation projects at universities and companies across the world (London, Boston, Paris, etc.).
**Why this isn't something for you**:
We are not looking for people who only want to sit behind a desk. What we look for are analysts who want to explore the organisations they work for. We believe that’s the only way to learn and understand how our data insights are useful (or useless) for our clients.
**About Craftzing Data**:
We are **Craftzing Data**, a daughter company of Craftzing with a focus on data. Our **main** **focus** is to help clients define their **data** **strategy**. We do so by talking to them, exploring their data in creative ways and, sometimes, by building prototypes for their data projects. This means that we are always looking for ways to **explain elements of data to our clients**. Be it by teaching them, explaining methodologies, showing them insights from their data, or by coming up with potential ways in which they could use their data, internally or towards the general public.
Our Craftzing Data team is backed up by the whole Craftzing team who bring in lots of experience in UX and UI design, development, business strategy, performance marketing, etc. Therefore, there is tons of opportunities to learn from different experts.
