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Amazon

Busi­ness Intel­li­gence Intern­ship

Loc­a­tion: Ger­many
Dur­a­tion: 4 to 6 months

Work­ing field:

Are you ana­lyt­ic­ally-minded, with a close eye on the finer details?

Does work­ing as a data guru in a res­ults-ori­ented envir­on­ment sound fun to you?

If so, we have intern­ship oppor­tun­it­ies for you!

We are Amazon; we pion­eer.
Since open­ing our vir­tual doors in 1995, we’ve been push­ing the bound­ar­ies of pos­sible fur­ther and fur­ther.

With every order made and par­cel delivered, cus­tomer demand for Amazon’s ser­vices is grow­ing. To meet this demand, and keep our world-class ser­vice run­ning smoothly, we're grow­ing our Oper­a­tions teams across Europe.

Teams you might join: Sup­ply Chain, Net­work Plan­ning, Invent­ory Place­ment, Trans­port­a­tion, Last Mile Deliv­ery, Fin­ance, Plan­ning & Ana­lysis (FP&A), or Fin­ance & Con­trolling.

Your respons­ib­il­it­ies:
The intern­ship pos­i­tion will give you the oppor­tun­ity to get in touch with the state-of-art data engin­eer­ing and data-mod­el­ling envir­on­ment developed by Amazon. Through this intern­ship, you will be able to learn Amazon Web Ser­vice (AWS, most used cloud tech­no­logy in the world) based data pipe-lin­ing, data extrac­tion and data mod­el­ling tech­no­lo­gies. You will also apply your learn­ing into pro­duc­tion data­base estab­lish­ment/main­ten­ance, KPI dash­boards auto­ma­tion, large scale data ana­lyt­ics and machine-learn­ing/eco­no­met­rics mod­el­ling in order to sup­port your team on cost-reduc­tion/effi­ciency-improve­ment pro­jects as well as busi­ness decision mak­ing pro­cesses. If you are enthu­si­astic about data engin­eer­ing and data sci­ence, motiv­ated by res­ults and driven enough to achieve them, Amazon is a great place to be. Because it is only by com­ing up with new ideas and chal­len­ging the status quo that we can con­tinue to be the most cus­tomer-cent­ric com­pany on Earth, we are all about flex­ib­il­ity: we expect you to adapt quickly to all the changes around you, and we encour­age you to try new things.

Amazon is look­ing for ambi­tious and enthu­si­astic stu­dents to join our unique world as interns. An Amazon EU intern­ship will provide you with an unfor­get­table exper­i­ence in a fast-paced, dynamic and inter­na­tional envir­on­ment; it will boost your resume and will provide a superb intro­duc­tion to our activ­it­ies.

As a Busi­ness Intel­li­gence intern, you could join one of the fol­low­ing teams: sup­ply chain, net­work plan­ning, invent­ory place­ment, trans­port­a­tion, last mile, fin­ance, plan­ning & ana­lysis (FP&A) or fin­ance & con­trolling.

You will put your BI skills to test and roll up your sleeves to com­plete a pro­ject that will con­trib­ute to improve the func­tion­al­ity and level of ser­vice that team provides to our cus­tom­ers. This could include:
  • Learn­ing how to part­ner across mul­tiple teams and geo­graph­ies
  • Devel­op­ing and execut­ing upon some of the world’s most com­plex data ana­lyses which will in turn, drive the cor­rect busi­ness decisions
  • Help­ing identify pro­cess improve­ment oppor­tun­it­ies to build stream­lined and scal­able solu­tions
  • Part­ner­ing with the team to per­form deep root cause ana­lyses when facing prob­lems
  • Assist­ing in the devel­op­ment of busi­ness cases for new pro­grams and ser­vices
  • Par­ti­cip­at­ing in the devel­op­ment, deliv­er­ing, main­ten­ance and improve­ment of per­form­ance met­rics dash­boards
  • Becom­ing part of a team of trus­ted advisors throughout an entire busi­ness unit.

Require­ments:

We want to hire the world’s bright­est minds, and offer them an envir­on­ment in which they can relent­lessly improve the exper­i­ence for our cus­tom­ers.
  • You are cur­rently work­ing towards a 2+ years uni­versity degree in Busi­ness Intel­li­gence, Sup­ply Chain/Logist­ics, Fin­ance, Com­puter Sci­ence, Inform­a­tion Man­age­ment, Applied Math­em­at­ics, Stat­ist­ics/stat­ist­ical ana­lysis or other quant­it­at­ive areas or related fields.
  • Flu­ency in Microsoft Excel and good know­ledge in SQL lan­guages.
  • Excel­lent writ­ten and verbal com­mu­nic­a­tion skills in Eng­lish.
  • You must have the right to work in the coun­try you are apply­ing for.
  • Atten­tion to detail, abil­ity to do in-depth data min­ing, meth­od­ical approach to work while also seek­ing to under­stand the big pic­ture
  • You will be res­ults driven with the abil­ity to innov­ate and sim­plify cur­rent pro­cess and prac­tices.
  • The per­sonal drive and enthu­si­asm that makes you stand out from the crowd!

  • Famil­iar with AWS products and envir­on­ment (Red­shift, EC2, EMR, S3 etc).
  • Famil­iar with data engin­eer­ing and data pipe-lin­ing.
  • Any addi­tional tech­nical skills such as cod­ing (python, R, Django, Spark etc.), data visu­al­iz­a­tion (Tableau, Qlik­view, Power­Pivot, Microstrategy) or oper­a­tions research can be a bonus.
  • Abil­ity to work suc­cess­fully in a fast-mov­ing envir­on­ment, to meet tight dead­lines and pri­or­it­ize work­load even when faced with con­flict­ing pri­or­it­ies.
  • Pre­vi­ous work exper­i­ence – a sum­mer job, intern­ship or full­time role; if it’s an exper­i­ence in a related field or busi­ness, even bet­ter.

What we of­fer:

Amazon is an equal oppor­tun­it­ies employer. We believe pas­sion­ately that employ­ing a diverse work­force is cent­ral to our suc­cess. We make recruit­ing decision based on your exper­i­ence and skills. We value your pas­sion to dis­cover, invent, sim­plify and build. We wel­come applic­a­tions from all mem­bers of soci­ety irre­spect­ive of age, sex, dis­ab­il­ity, sexual ori­ent­a­tion, race, reli­gion or belief.
By sub­mit­ting your resume and applic­a­tion inform­a­tion, you author­ize Amazon to trans­mit and store your inform­a­tion in the Amazon group of com­pan­ies' world-wide recruit­ment.