Associate Data Analyst

Role overview

Support client data science work through hands-on data processing, coding, reporting, and analysis. The role combines independent problem solving with collaboration to turn data from multiple sources into useful findings, visualizations, and reports; most of the workday is dedicated to practical technical tasks.

Responsibilities

- Collect, combine, and prepare data from multiple sources for analysis. - Write, optimize, debug, and maintain scripts using SQL or Python, with R also mentioned as a possible tool. - Apply statistical, analytical, and introductory machine learning methods to answer questions and support decisions. - Develop reports and visualizations that communicate findings clearly. - Clarify requirements and resolve issues with internal and external collaborators, documenting project progress in tools such as JIRA. - Manage competing project work with attention to detail, sound prioritization, and curiosity.

Requirements

- Bachelor’s degree in a quantitative or social science discipline. - At least one year of coding experience in SQL or Python. - Introductory knowledge of analytics, statistics, and AI coding tools. - Strong written and verbal communication, with the ability to explain technical findings to varied audiences. - Critical thinking, issue identification, teamwork, time management, and willingness to ask questions. - Current authorization to work in the United States; visa sponsorship is unavailable for this role.

Nice to have

Experience with data platforms or processing tools such as AWS S3, Snowflake, or Databricks, or previous work in advertising technology.

Benefits and work setup

Work arrangements may be hybrid or fully remote depending on location and role. People near the listed offices are expected onsite one to three days per week; those farther away may work remotely. Compensation is stated as $76,787–$92,916 annually, with equity eligibility for full-time employees.