Partner closely with Sales, Customer Success, Finance, and Revenue Operations stakeholders to understand business challenges and identify opportunities where analytics can drive impact.
Conduct deep-dive analyses to uncover insights related to sales productivity, customer lifecycle performance, customer retention, and revenue trends.
Support GTM teams with data-driven recommendations that inform strategic initiatives and operational improvements.
Leverage AI-assisted analytics tools and modern data workflows to improve analytical efficiency, automate repetitive analysis, and uncover deeper insights from data.
Build and maintain dashboards and reports that track key GTM metrics such as pipeline, revenue, retention, expansion, and forecasting accuracy.
Develop predictive analyses and statistical models to support forecasting, growth planning, and performance optimization.
Design and analyze experiments and A/B tests to measure the impact of GTM initiatives and product or pricing changes.
Collaborate with Analytics, Data Engineering, and other Analytics teams to improve data quality, data infrastructure, and reporting frameworks.
Present insights and findings to cross-functional teams, translating complex analyses into clear, actionable business recommendations.
Independently manage analytics workstreams or smaller projects within larger GTM initiatives.
Contribute to the development of analytics best practices.

3+ years of experience in data analysis, business intelligence, or analytics roles.
Strong proficiency in SQL and experience working with relational databases.
Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field (Master’s degree is a plus).
Familiarity with data visualization and BI tools such as Tableau.
Strong foundation in statistics, probability theory, and quantitative analysis.
Experience working with large datasets and complex business problems.
Experience designing and interpreting A/B tests or experiments.
Ability to partner effectively with stakeholders across Sales, Customer Success, Finance, and Operations to understand their needs and translate them into analytical solutions.
Strong communication and storytelling skills, with the ability to present insights and recommendations to both technical and non-technical audiences.
Experience or interest in using AI tools and automation to enhance data analysis, research, and analytics workflows.
Proven ability to manage multiple projects and priorities while collaborating with cross-functional teams in a fast-paced environment.
A proactive and collaborative mindset, with a focus on building strong relationships with stakeholders and enabling data-driven decision-making.

Insights Analyst – Sales, Customer Success

Key skills