Senior Insights Analyst; Product Analytics Team

Senior Insights Analyst (Product Analytics Team)

Location:

Boston, MA (global presence across North America, Europe and Asia).

• Design, analyze, and optimize product‑led growth funnels to drive Enterprise pipeline, conversion, and expansion opportunities.
• Identify and segment new and existing users based on product usage, customer attributes, business potential, and risk signals.
• Analyze usage patterns to define and refine product limits, thresholds, packaging, and monetization strategies.
• Develop analytical frameworks to continuously track user segments, funnel performance, product adoption, and key business outcomes.
• Measure the impact of product, pricing, funnel, and business changes, including building models to evaluate outcomes and identify revenue opportunities.
• Apply advanced analytics methods, including statistical modeling, A/B testing, and experimentation, to uncover trends, risks, and growth opportunities.
• Translate complex data into clear, actionable recommendations that can be implemented in product and business systems.
• Create analytical outputs, dashboards, and visualizations that support product and business decision‑making.
• Present insights and recommendations to stakeholders, including senior and top management audiences, ensuring clarity, relevance, and strong business impact.
• Lead analytics projects end‑to‑end and drive the adoption of data‑driven solutions across the organization.
• Partner with data, analytics, product, and business teams to ensure data quality, consistency, and reliable decision‑making.
• Mentor data analysts and support their professional growth.
• Contribute to knowledge sharing, analytics best practices, and continuous improvement within the team.

• Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field.
• 5+ years of experience in product analytics, data analysis, business intelligence, or similar analytical roles, with proven 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.
• Hands‑on experience designing, running, and interpreting experiments, including A/B testing.
• Experience building analytical frameworks, such as funnels, segmentation, monitoring systems, and impact measurement approaches.
• Strong data visualization skills and the ability to communicate insights clearly to business stakeholders.
• Proven ability to partner with senior stakeholders across product, business, and other functions, influencing decisions through data.
• Strong communication and storytelling skills, with experience presenting insights to senior or non‑technical audiences.
• Ability to independently own analytical projects end‑to‑end, manage multiple priorities, and work effectively in a fast‑paced environment.
• Experience contributing to analytics best practices, knowledge sharing, and team development.
• Master’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field.
• Experience with BI tools such as Tableau or similar platforms.
• Experience working on pricing, packaging, monetization, product limits, or Enterprise growth initiatives.
• Experience mentoring analysts or supporting analytical maturity within a team.
• Interest in leveraging modern analytics tools, automation, or AI to improve analytical workflows.

• Unlimited PTO
• Hobby & team building budget allowance
• Employee Support Program
• Loss of family member financial aid
• Employee Resource Groups

Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.