Signify is hiring a
Analyst

Summary

The job is for an Analyst in the Merchant Solutions team of the Data Science organization at Signifyd. The role involves using data engineering, science, and analytics skills to build business insights regarding merchant performance, collaborating with data scientists, and developing dashboards among other tasks. A degree in a STEM field or equivalent work experience, 2+ years of post-undergrad work experience, strong communication skills, expert SQL knowledge, practical Python experience for data analysis, experience building dashboards with software such as Looker or Tableau, translating ambiguous problem statements into actionable analyses, and influencing peers through storytelling with data are required. Bonus points are given for previous work in fraud, payments, or e-commerce, data analysis in a distributed environment, familiarity with the Linux command line, and version control.

Requirements

• A degree in a STEM related field, or equivalent work experience
• 2+ years of post-undergrad work experience
• Strong verbal and written communication skills
• Expert SQL knowledge and practical Python experience for data analysis
• Experience building dashboards with software such as Looker, Tableau, etc
• Translating ambiguous problem statements into actionable analyses
• Influencing peers through storytelling with data

Responsibilities

• Use a combination of data engineering, science, and analytics based skills to build business insights regarding merchant performance at Signifyd
• Utilize a combination of in house developed tooling and adhoc analyses to identify opportunities and evaluate merchant performance
• Developing dashboards, conducting analysis in notebooks, querying relational databases, and investigating fraud patterns to help manage merchant performance
• Collaborate with data scientists to understand the reasoning behind model decisions, root causing incorrect decisions, and developing ideas to improve model decisions

Preferred Qualifications

• Previous work in fraud, payments, or e-commerce
• Data analysis in a distributed environment
• Familiarity with the Linux command line and version control