Senior Data Analyst

Role Overview

As a Senior Data Analyst at G2, you will combine strong SQL modeling and statistical skills with your unique experience to deliver actionable insights, make recommendations, and enable others to efficiently access and leverage data in decision making. You will maintain, update, and optimize our core business dashboards, use AI-powered tools, and build and maintain AI-driven tooling and automations to accelerate analysis and expand self-service data access across the organization.

What You Will Do

In this role, you will provide descriptive and diagnostic analysis to inform product and go-to-market decision-making, discuss questions and hypotheses with external and internal customers based on deep data analysis, develop effective data models, and use AI tools to accelerate exploratory analysis, QA, and documentation of findings.

Why It Might Be a Fit

This role requires a strong background in data analysis, experience designing dashboards and enabling self-serve analytics, and a desire to make an impact on the business, engage in interesting problems, and craft innovative solutions.

Requirements

• 4+ years experience in data analysis roles
• Experience designing dashboards and enabling self-serve analytics through Business Intelligence tooling (Looker, Amplitude, etc.)
• Experience with relational database modeling and/or experience in building reporting layers within Business Intelligence tooling (tabular, multidimensional, etc.)
• Adept with Postgres and SQL databases (strong understanding of various use cases of different joins within a relational database and CTE performance scripting)
• Experience in performing QA on complex SQL queries for bugs, optimization and performance
• Experience working in an agile environment with multiple stakeholder teams
• Ability to tell stories with data and convey insights – demonstrated through experience with presentations and cross-functional projects
• Experience with A/B testing, product analytics or making data driven decisions
• Comfortable using AI tools (e.g. Claude, ChatGPT) day-to-day to accelerate data analysis, QA, and documentation
• Hands-on experience with Looker (LookML) and Snowflake SQL / SV / syntax, DDL – required to build, maintain, and validate BI models and views

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa sponsorship
• Relocation assistance

Tagged as: Data Analysis