Data Analyst

Sorry, this job was removed at 3:12 p.m. (CST) on Thursday, October 6, 2022
Find out who's hiring in New York City, NY.
See all Data + Analytics jobs in New York City, NY
Apply
By clicking Apply Now you agree to share your profile information with the hiring company.

Paperless Post is seeking a very strong full stack data analyst with an innate curiosity about user behavior to derive insights from complex data sets and drive our business forward. You have a proven track record of analyzing and deriving insights from data. You will help support the growing needs of our business development initiatives and have a strong quantitative mindset that allows you to distill complex concepts into clear and accessible learnings. 

What you’ll do here - As a full stack member of the Data team you will:

  • Participate in Data team ideation sessions to define analytics and reporting projects and solutions. 
  • Work closely with our business and product stakeholders to derive deep insights into our various products, events, and invitations.
  • Create data and visualization solutions such as attribution models, complex funnels, event classifiers and dashboards.
  • Present findings and recommendations to our stakeholders.
  • Train our stakeholders on how to use our BI tools.
  • Develop deep understanding of the KPI's that drive our business and identify ways of improving overall results across the company.
  • Own and evolve our data model.
  • Collaborate with Data Engineering processes and projects.
  • Participate in an Agile development cycle.

What you bring to the table

  • 4+ years experience working with data and statistical analysis.
  • Advanced knowledge of SQL and Python.
  • Experience using a BI tool and data modeling, preferably with DBT and Looker. 
  • Solid knowledge of database concepts, familiarity with clickstream data.
  • Ability to present complex information in an easy-to-understand and digestible manner.
  • Ability to work cross-functionally with team members who are highly technical as well as those with limited or no statistical training.
  • Comfort with the ambiguity that sometimes comes with a fast-paced start-up atmosphere.
  • Plusses:
    • Working knowledge of Google Analytics, Sailthru.
    • Undergraduate or graduate degree in Statistics, Math, Data Science, Operations Research or related field a plus.

A little bit about us

The Paperless Post Data team plays a crucial role in our product’s success. We get to dive into advanced data work—from machine learning to visualization, classifier creation to ETL pipelines—that solve complex business problems and increase the functional capabilities of everyone throughout the company. On the reporting side, we help ensure that all teams have the information they need to make sound business decisions. Above all, we’re a team that is excited about what we do. 

Company-wide, we enjoy an amazing ecosystem of an even gender split and a balance of engineers and designers. Because Paperless Post isn't supported by ad revenue, we can focus our efforts on creating and improving on the ideal version of our platform, product, content, and partnerships for our users.

We are proud that Paperless Post has helped over 175 million people globally connect in the real world since our inception. Paperless Post exists to help all people celebrate all the moments that matter to them. We believe that having a team reflective of the diverse world around us empowers us to create a product that serves everyone. Women, people of color, trans/genderqueer individuals, individuals with disabilities, and veterans are especially encouraged to apply.

More Information on Paperless Post
Paperless Post operates in the Design industry. The company is located in New York, NY. Paperless Post was founded in 2009. It has 87 total employees. To see all 4 open jobs at Paperless Post, click here.
Read Full Job Description
Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.

Similar Jobs

Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.
Learn more about Paperless PostFind similar jobs