Full Time

Data Analyst – Stay At Home Jobs

Posted 1 year ago
New York
$30 - $40 per hour

Job Description

Job Type: Data Analyst from home
Location: New York work from home
Company: WW

Position Description:

WW is searching for candidates that want to make a difference in people’s lives. We are a worldwide wellness technology company that motivates millions of people to embrace healthy lifestyle practices. We accomplish this through engaging digital experiences, in-person workshops, and long-term programs that encourage people to move more, improve their mentality, and eat healthier while still enjoying their favorite foods. We develop communities to provide wellness for all by building on over five decades of experience and skill in behavioral science.

What We Stand For:

As WW modernizes, the Data Analytics team will have a significant impact on the future of our products and business. We are searching for an experienced data analyst or scientist with an emphasis on impact to join our team of 15+ people who are driving a data-first culture throughout WW.

What you’ll do is as follows:

  • Our team primarily serves as strategic thought partners to the product management function (including growth) by:
  • Ad hoc product analysis,
  • AB test and experiment design and analysis
  • Performance KPI definition and descriptive reporting
  • You should conduct your own research if you have an idea. Either:
  • Analytics includes descriptive and inferential statistics, as well as
  • Causal inference, Bayesian statistics, cluster analysis, predictive modeling are all examples of data science.

You are the following:

  • We appreciate that not all individuals will meet all qualifications; nonetheless, if you are interested in this work and are a good fit for the post, please apply.
  • Good business sense and a desire to influence WW’s path
  • Collaboration with product managers/work on software or apps
  • Experienced SQL entails a) complicated querying and b) an understanding of how to build data infrastructure to more efficiently undertake reproducible high-quality analysis.
  • R or Python for scientific purposes
  • A/B testing design and analysis experience
  • Expertise developing and disseminating KPIs
  • Software for Visualization (Looker, Tableau, etc.)
  • If you’re familiar with Github (or anything similar),