Insights Analyst – Sales, Customer Success
Semrush
full-time
Posted on:
Location Type: Hybrid
Location: Spain
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About the role
- 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.
Requirements
- 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.
Benefits
- Unlimited PTO
- Hobby & team building budget allowance
- Employee Support Program
- Loss of family member financial aid
- Employee Resource Groups
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisbusiness intelligenceanalyticsSQLstatisticsprobability theoryquantitative analysisA/B testingpredictive analysisstatistical modeling
Soft Skills
communicationstorytellingcollaborationstakeholder managementproject managementproactive mindsetrelationship buildinganalytical thinkingproblem-solvingadaptability