Data Analyst

Role Overview

The Data Analyst sits at the intersection of data infrastructure and business strategy, turning raw event streams, product telemetry, and operational data into analyses that directly shape roadmap and go-to-market decisions.

What You Will Do

Own and evolve core business metrics, write advanced SQL and Python analyses, build and maintain executive-facing dashboards, and design and analyze A/B tests.

Why It Might Be a Fit

We are looking for a data analyst with 3–6 years of experience in data analytics, business intelligence, or a closely related role at a product-driven technology company.

Requirements

• 3–6 years of experience in data analytics, business intelligence, or a closely related role at a product-driven technology company
• Expert-level SQL, including window functions, CTEs, and query optimization on large-scale analytical warehouses (Snowflake, BigQuery, or Redshift)
• Strong working proficiency in Python or R for analysis, including pandas and standard visualization libraries
• Hands-on experience with a modern BI tool (Looker, Tableau, or Power BI) and an understanding of semantic layer best practices
• Solid grounding in statistics: hypothesis testing, regression, experiment design, and common analytical pitfalls
• Bachelor’s degree in a quantitative field (statistics, economics, computer science, engineering) or equivalent practical experience

Benefits

• Bonus: experience with dbt, event tracking tools (Segment, Amplitude), and familiarity with data modeling frameworks like Kimball or dbt best practices

Tagged as: Data Analysis