Posted 7 months ago  

Yield Operations Data Analyst at Pitney Bowes

Posted 7 months ago - 55 views - 10 Applied

Job Description

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We actively look for prospects who:

  • Are passionate about client success.
  • Enjoy collaborating with others.
  • Strive to exceed expectations.
  • Move boldly in the quest for superior and best in market solutions.

You are:

A Results-driven Contributor who can build ad hoc models and reporting to support key strategic initiatives. You are a Proactive individual who thrives in a team-oriented and fast-paced environment.

You will:

  • Build rigor & reporting around key KPIs in Tableau
  • Utilize data visualization software products to enhance understanding of data analyses
  • Proactively work with yield operations team to enable client facing teams with pertinent information enabling success
  • Utilize background in Data Analytics, SQL, R, Python and Microsoft Suite tools and software
  • Use statistical methods to analyze data and generate useful business reports and models
  • Maintain a working knowledge of data infrastructure/usability through connections with BI team

Your background:

As a Yield Operations Technical Analyst, you have:

  • 3-5 Years experience in data analytics and/or pricing
  • 2+ Years building tools/dashboards in Tableau
  • Hands-on experience developing complex SQL queries & advanced excel skills
  • Comfortable creating statistical or quantitative models


  • Bachelor s Degree in Data Analytics, Statistics, Mathematics, Accounting, or Finance or related field

We will:

  • Provide the opportunity to grow and develop your career
  • Offer an inclusive environment that encourages diverse perspectives and ideas
  • Deliver challenging and unique opportunities to contribute to the success of a transforming organization
  • Offer comprehensive benefits globally (