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Manager Instructional Technology at George Washington University -

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Welcome to Media Jobs: Data Analyst Jobs

The Career Intelligence™ Authority

We fea­ture infor­ma­tion about cut­ting edge up and com­ing com­pa­nies, peo­ple and new prod­ucts that can enhance your career. Mediajobs.com is the author­i­ty for career intel­li­gence in the media and tech indus­tries. If you are cur­rent­ly in an Data Ana­lyst job, look­ing for Data Ana­lyst jobs, entry lev­el data ana­lyst jobs, Busi­ness Intel­li­gence jobs and want to keep cur­rent about the newest cut­ting edge com­pa­nies and prod­ucts we have cre­at­ed Media Jobs for you. Read about some of the most inno­v­a­tive mar­keters in Busi­ness Intel­li­gence and dig­i­tal media includ­ing Ora­cle, SAS, App­tix, SAP, Microsoft, SQL, IBM, Inter­pub­lic, Oglivy and Math­er and lots more. We’ll also talk about some of the most inno­v­a­tive orga­ni­za­tions includ­ing Media­math, Razor­fish, Accen­ture, McK­in­sey and Bain and Com­pa­ny. Arti­cles about the most sig­nif­i­cant Busi­ness Intel­li­gence com­pa­nies are right below. You can also search for Data Ana­lyst Jobs by click­ing here or using the search box on this page.

Narrative Science Why You Want to Work Here– Can the Computer Write Stories Better Than You?

Why You Want to Work at Narrative Science

Nar­ra­tive Sci­ence is at the fore­front of com­put­er automa­tion.  At Media Jobs we have brought you numer­ous sto­ries dis­cussing how data visu­al­iza­tion is all the rage right now and will be into the fore­see­able future, and for good rea­son. The vast amount of data being gen­er­at­ed and col­lect­ed every sec­ond of every day on every pos­si­ble top­ic is almost use­less with­out a good way to ana­lyze it and present it in an under­stand­able way. And they were all writ­ten by humans. But in cer­tain sit­u­a­tions, those charts, graphs, and oth­er unique visu­al­iza­tion tools still aren’t the best way to trans­fer infor­ma­tion to peo­ple. Some­times a con­cise and infor­­ma­­tion-packed sto­ry is the most pleas­ing and under­stand­able way to absorb infor­ma­tion, and that’s where Nar­ra­tive Sci­ence excels, no humans required. Tell Me About The Nar­ra­tive Sci­ence Game If you ask Google or Siri or Cor­tana this ques­tion (which is actu­al­ly a state­ment, I guess), you’ll prob­a­bly get a final score — assum­ing that you spec­i­fy the game you’re refer­ring to, of course. But soft­ware devel­oped by Chi­ca­­go-based Nar­ra­tive Sci­ence does­n’t wait for you to ask. Instead, it col­lects the rel­e­vant infor­ma­tion about the game and writes a sum­ma­ry in para­graphs we’re used to…

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Data Analyst Jobs in Chicago

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Data Analysts are Needed In New York

data analyst jobs in new york city

Data ana­lysts per­form a vari­ety of tasks relat­ed to col­lect­ing, orga­niz­ing, and inter­pret­ing sta­tis­ti­cal infor­ma­tion. The pre­cise nature of the job varies some­what from pro­fes­sion to pro­fes­sion, as an ana­lyst work­ing for a hos­pi­tal would nec­es­sar­i­ly focus on dif­fer­ent things than would some­one work­ing for a depart­ment store or a super­mar­ket chain. In any capac­i­ty, though, peo­ple with this job look for ways of assign­ing numer­i­cal val­ues to dif­fer­ent busi­ness func­tions, and are respon­si­ble for iden­ti­fy­ing effi­cien­cies, prob­lem areas, and pos­si­ble improve­ments. Infor­ma­tion Com­pi­la­tion One of the most impor­tant things any data ana­lyst does is col­lect, sort, and study dif­fer­ent sets of infor­ma­tion. This can look real­ly dif­fer­ent in dif­fer­ent set­tings, but is usu­al­ly relat­ed to nail­ing down a fixed val­ue to some process or func­tion so that it can be assessed and com­pared over time. A gro­cery store might want an ana­lyst to col­lect all the hours that cer­tain employ­ees work along with prof­it mar­gins for cer­tain days, weeks, or even hours, for instance; an Inter­net busi­ness might want to see hard num­bers on where cus­tomers are com­ing from, how much they are spend­ing on pur­chas­es, and whether deals like free ship­ping have any bear­ing on over­all prof­its. Ad…

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How Can Big Data add $7 Billion to the Music business?

Big Data is not the name of a Musical Artist, but it could change Music forever.

Ever thought about repair­ing the cat­a­stro­phe that music is today with Big Data? Music is the most social of all our media options with huge loy­al­ty and pen­e­tra­tion. Music has the pow­er to con­nect the world and big data could unlock that poten­tial. If real­tors can hook up with lifestyle brands and archi­tects, why couldn’t brands find a way to team up with music and musi­cians? The part­ner­ing pos­si­bil­i­ties are lim­it­less. When you real­ly think about data mon­e­ti­za­tion, the music indus­try could explode! What music is lack­ing is the diverse rev­enue oppor­tu­ni­ties beyond pure con­sumer mod­els like sub­scrip­tion and sales. Accord­ing to the RIAA, in 2003 the music indus­try was at $13 bil­lion, cur­rent­ly it is below $7 bil­lion, that’s a major sea change! The fail­ure is the lack of Big Data usage. Pay rev­enue mod­els like CDs and iTunes is a shrink­ing mar­ket and the con­sis­tent bick­er­ing about roy­al­ties is stamp­ing out their abil­i­ty to see the big pic­ture. Sub­scrip­tion mod­els can’t pos­si­bly be sus­tain­able as a com­pen­sa­tion method for music pro­duc­ers, signed or inde­pen­dent. Nielsen dis­cov­ered that labels which choose to remove an artist from stream­ing ser­vices may squeeze out eight per­cent in extra sales, but are caus­ing…

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