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Analyst - Data and Business Analytics

Purch is one of the world’s largest tech review publishers with brands such as Tom’s Guide, LaptopMag, and LiveScience under its umbrella. With billions of users and three straight years of profitable, venture-backed double digit growth, Purch is on a mission to make complex buying decisions easier for both buyers and sellers.  Purch is a fun, close-knit, flexible, results-oriented work environment looking for talented people who fit. 

We are looking for two business analysts to join our team in New York office. 

Description of Duties:

  • Increase user engagement, revenue, and membership through the analysis and presentation of data.
  • Build dashboards, reports, and alerts that informs the business of all key trends and metrics
  • Ability to construct complex SQL queries
  • Strongly self-sufficient with ability to produce dashboards or reports with minimal engineering engagement
  • Measures self-performance by business questions answered rather than reports generated
  • Embraces the technical side of data and can legitimately be confused as a developer or engineer in the right light
  • Gathers actionable user requirements and can build a killer logical/physical data model from them
  • Builds dashboards that treat UI/UX/Visualization as more than buzzwords
  • Never makes the same mistake twice
  • Understands the less glamorous side of BI (QA, documentation, process) is not as fun but just as important
  • Seeks out leadership and communication opportunities to evangelize data
  • Believes his or her output velocity and work quality is superior but somehow isn’t an insufferable know-it-all.
  • Is a tireless self-starter
  • Prizes growth opportunities
  • Thrives working with a close-knit, like-minded global team passionate about data and business problems


  • College graduate, preferably in a technical discipline
  • Minimum 3-5 years of experience
  • Proficiency in SQL
  • Proficiency in one or more BI tools – Qlikview, Tableau, Spotfire, Looker, ChartIO
  • Proficiency in one or more DBs – SQL Server, RedShift, PostgresSQL, Netezza, Vertica, Snowflake, Oracle, MySQL
  • Proficiency in one or more web analytics tools - Adobe Analytics/Omniture, Google Analytics
  • Strong working knowledge of data modeling, warehousing, relational and non-relational storage


  • Hands-on experience w/ Data integration tools – Informatica, SSIS, Talend, Kettle
  • Hands-on experience using “big” data components such as Hadoop, Hive, Pig, Flume
  • Strong working knowledge  in one or more programming languages – Python, R, Java, .NET, Javascript, PHP, Pearl, Ruby, Scala, Clojure
  • Amazon data stack experience (Kinesis, S3, EC2, Redshift, Glacier, etc.)
  • Real-Time streaming tool experience (Spark, Storm)
  • Experience with app analytics  (Flurry, MixPanel, Localytics)


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