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Open nowPosted 34 hours ago

Data Analist

EURES job mobility portal585,971 open roles

Where
Tournai-Mouscron, Belgium
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Your applicationOpen nowData AnalistEURES job mobility portal · Tournai-Mouscron, Belgium

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 9 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 34 hours ago

EURES job mobility portal median: 9 days open

The posting

Je komt terecht bij een internationaal technologiebedrijf dat industriële ondernemingen ondersteunt bij het optimaliseren en automatiseren van hun productie- en logistieke processen. Met oplossingen op het vlak van ERP, automatisering en technische installaties zet de organisatie sterk in op innovatie, efficiëntie en digitalisering.

Jobomschrijving

  • Je beschikt over een bachelor- of masterdiploma en hebt bij voorkeur 3 tot 5 jaar relevante ervaring als Data & Business Analist, BI Consultant of Data Engineer.
  • Je hebt een sterke kennis van Microsoft Fabric, Power BI en datamodellering.
  • Ervaring met Lakehouses, Pipelines, Dataflows Gen2 en Spark is belangrijk.
  • Kennis van Dynamics 365 Finance & Operations is een grote troef. Ervaring met Dataverse of Azure Integration Services is mooi meegenomen.
  • Je combineert analytisch inzicht met een sterk begrip van bedrijfsprocessen en weet businessnoden te vertalen naar haalbare oplossingen.
  • Je communiceert vlot met zowel technische als niet-technische stakeholders.
  • Je spreekt vlot Nederlands en kan je professioneel uitdrukken in het Frans en Engels.
  • Je beschikt over een bachelor- of masterdiploma en hebt bij voorkeur 3 tot 5 jaar relevante ervaring als Data & Business Analist, BI Consultant of Data Engineer.
  • Je hebt een sterke kennis van Microsoft Fabric, Power BI en datamodellering.
  • Ervaring met Lakehouses, Pipelines, Dataflows Gen2 en Spark is belangrijk.
  • Kennis van Dynamics 365 Finance & Operations is een grote troef. Ervaring met Dataverse of Azure Integration Services is mooi meegenomen.
  • Je combineert analytisch inzicht met een sterk begrip van bedrijfsprocessen en weet businessnoden te vertalen naar haalbare oplossingen.
  • Je communiceert vlot met zowel technische als niet-technische stakeholders.
  • Je spreekt vlot Nederlands en kan je professioneel uitdrukken in het Frans en Engels.
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One press. We do the rest.

  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EURES job mobility portal's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    EURES job mobility portal's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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