Data Analyst (Digital Intelligence)

TL;DR

Data Analyst (Digital Intelligence): Building custom-made reports and turning raw data into strategic insights with an accent on quantitative analysis and data mining. Focus on developing research tools to answer complex business questions and partnering with Engineering to establish scalable infrastructure.

Location: New York, NY. Must be authorized to work for any employer in the U.S. (no sponsorship provided).

Salary: $80,000 - $120,000

Company

A leading digital intelligence platform that provides data-driven insights into online behavior for thousands of global customers.

What you will do

• Build end-to-end custom reports, from analyzing client needs to writing code and ensuring delivery.
• Apply quantitative analysis and data mining to transform raw data into strategic business insights.
• Conduct research and develop tools to answer client business questions using raw datasets and algorithms.
• Collaborate with Engineering teams to create an infrastructure that allows solutions to scale.
• Partner with Advisory Services consultants to deliver seamless custom data products.

Requirements

• At least 2 years of experience with SQL and pySpark for data analysis.
• Proficiency in Python scripting.
• Excellent verbal and written English communication skills.
• Bachelor's degree in Statistics, Computer Science, Engineering, or a related field.
• Must be authorized to work for any employer in the U.S.

Nice to have

• Experience with AWS infrastructure.
• Proven track record of working directly with clients.
• Proficiency in Online Marketing or Online Services.
• 2+ years of experience working within an Online or Tech company.
• Master's degree.

Culture & Benefits

• Comprehensive health package including medical, dental, and vision insurance.
• Financial security through a 401K plan, potential equity, and an employee stock purchase plan.
• Support for family and well-being with paid sick and parental leave.
• A collaborative hybrid work environment emphasizing face-to-face interaction.
• Strong focus on career growth through personalized coaching and learning solutions.