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Lead Analyst - Yield

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. 


  • Increase yield through the analysis and monitoring of ads and affiliates data.
  • Inform strategy and product direction through presentation of findings to company and industry executives
  • Build dashboards, reports, and alerts that informs the business of all key revenue trends and metrics
  • Own the ads and affiliate data infrastructure and ensures it meets the needs of key Purch business stakeholders
  • 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
  • Not just learns but becomes an expert in all of the new, cutting edge data functionality. 
  • Understands the less glamorous side of BI (QA, documentation, process) is not as fun but just as important 
  • 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
  • 5-10 years of experience in analyst role
  • 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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