Design and optimize product-led growth funnels to drive Enterprise pipeline and conversion
Identify and segment users (new and existing) based on product usage and customer attributes to uncover expansion opportunities and risk signals
Analyze usage patterns to define and refine product limits, thresholds, and monetization strategies
Develop analytical frameworks to continuously track user segments, funnel performance, and product adoption
Measure the impact of product, pricing, and funnel changes, and develop models to evaluate business outcomes
Translate insights into clear, actionable recommendations that can be implemented in product and business systems
Create clear analytical outputs and visualizations to support business and product decision-making
Apply advanced analytics (e.g., statistical modeling, A/B testing and experimentation) to identify trends and revenue opportunities
Present insights and recommendations to stakeholders, including senior stakeholders, ensuring clarity and strong business impact
Ensure data quality through collaboration with data and analytics teams
Lead analytics projects and drive adoption of data-driven solutions across the organization
Contribute to knowledge sharing and analytics best practices within the team

Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field (Master’s preferred)
5+ years of experience in product analytics, data analysis, business intelligence, or similar analytical roles, with demonstrated impact on business outcomes
Advanced proficiency in SQL and strong experience working with large-scale relational databases
Proven experience analyzing complex datasets and solving ambiguous, high-impact business problems
Strong foundation in statistics, probability, and quantitative analysis, with hands-on experience designing, running, and interpreting experiments (e.g., A/B testing)
Experience building analytical frameworks (e.g., funnels, segmentation, monitoring) and measuring the impact of product or business changes
Strong data visualization skills to communicate insights clearly to business stakeholders (experience with BI tools such as Tableau is a plus)
Proven ability to partner with senior stakeholders across various business functions, influencing decisions through data
Strong communication and storytelling skills, with experience presenting insights to senior or non-technical audiences
Demonstrated ability to independently own analytical projects end-to-end, manage multiple priorities, and operate effectively in a fast-paced environment
Experience contributing to analytics best practices and knowledge sharing within a team
Interest in leveraging modern analytics tools, automation, or AI to improve analytical workflows is a plus

Senior Insights Analyst, Growth Analytics

Key skills