Explore and analyze large, complex datasets to identify trends, patterns, and opportunities.
Build dashboards, reports, and visualizations to communicate insights to stakeholders.
Support ad-hoc data requests and help translate business questions into analytical approaches.
Apply statistical techniques to analyze business performance and measure outcomes.
Assist with designing and evaluating experiments and reporting results.
Clean, transform, and prepare data for analysis and reporting.
Partner with Product, Engineering, Finance, and Go-To-Market teams to support data-driven initiatives.
Help improve data workflows, documentation, and reporting processes.

Requirements

Pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
Experience with Python or R for data analysis
Familiarity with SQL and working with large datasets
Strong understanding of statistics and data analysis fundamentals
Analytical mindset with strong attention to detail
Ability to communicate technical findings to non-technical audiences
Interest in analytics and the SaaS industry

Benefits

Voluntary healthcare coverage in applicable countries
Paid time off to recharge and spend time with loved ones
401k plan with 100% vested company contributions
Flexible paid time off
Generous caregiver and parental leaves
Life and disability insurance
Health benefits including medical, dental, vision, and prescription drug coverage

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisstatistical techniquesdata cleaningdata transformationdata visualizationPythonRSQLexperiment designreporting

Soft Skills

analytical mindsetattention to detailcommunicationcollaboration