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Solution Consultant SaaS EMEA | Big Data Tech Scale-up | Global Risk Validation | Amsterdam | Up to €100K

  • Are you looking for a new job opportunity as an Enterprise Solution Consultant SaaS EMEA in Amsterdam?
  • Would you like to be the analytical and technical pillar of the sales force?
  • Do you want to be the person who will kick-start a EMEA scale-up? 

Then this could be your next job!

Big Data Tech Scale-up: Utilize global Big Data Analytics to optimize global Enterprises’ risk management

This strong-growing Big Data Tech Scale-Up has named name and fame in the United States with its Global Risk Validation technology. Combing the strength of their unique algorithm and global data sources, they can detect cybercriminals’ criminals immediately. With proven successes at global companies such as Marktplaats, Singapore Airlines and Mastercard, they have increased the success rate of business transactions. Other verticals would be e-payments, Tech, Hospitality and Financial industries.
The world is becoming a global digital village and cybercriminals are adapting to this global development. Constantly these criminals will try finding ways to take money from hard-working people. With the machine learning integrated in their technology, they can detect the slightest activities of these criminals!
Countries in EMEA has been calling out to this company because they are experiencing a rising risk of criminal activities. Therefore, they have established European hub and looking to hire the first Enterprise Solution Consultant SaaS EMEA for their Amsterdam office. is experiencing a rising demand for their technology and services.

Your next job: Enterprise Solution Consultant SaaS EMEA | Solving Business Problems in different verticals

As an Enterprise Solution Consultant SaaS EMEA, you will work with the Enterprise Account Executive, Sales Director and Head of Account Management from their Amsterdam office. You will be the technical and analytical pillar of the sales force. Using Python or R you will analyze the different data sources within an Enterprise and add value to that data.
Your insights will help companies to convert more leads, make lenders better business decisions and let market places accept trustworthy accounts. Your creativity is seeking for opportunities with the available data and turn your big data analysis into solutions for specific business problems. Time to time you will build new models or probe prospects’ modelling work.
As it a new hub with a stable growing EMEA client portfolio, advanced career progression is one of the possibilities. They want to hire another 10 employees this year and predicting to hire at least another 10 next year. Are you the Enterprise Solution Consultant SaaS EMEA to kick-start this Amsterdam office?

What is being required?

  • Bachelor’s degree with focus on engineering or equivalent is a strong plus
  • Between 5- and 15-years’ analytics work experience
  • Minimum 4 years’ experience and proven track record as pre-sales engineer, solution architect, data scientist or solution consultant
  • Communicative strong
  • Natural curiosity
  • Python or R and Excel skills
  • Able to add business value to data
  • Find business problems and solutions with big data
  • Connecter between sales and technical teams
  • Love to discover business problems and add value to data
  • Able to give explanations on C-level 

What is being offered?

  • Base salary up to €100K
  • Pre-stock options
  • Teaming up with 3 direct colleagues
  • Modelling work when necessary
  • Global Enterprises as clients and prospects
  • Combining creativity, business mind and
  • Pioneering in the EMEA market
  • Being the technical pillar of the EMEA office
  • Business traveling
  • Kickstarter of a company’s growth acceleration
  • Variation of clients and prospects within the airlines, hospitality, e-payments, Tech, e-commerce and Financial industries.

Vragen over deze vacature?

Vragen over deze vacature?

William Lanser | Head of Media- & SaaS Sales

Neem contact op met William

020-8200 676

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