Product Analyst - Lead Generation Suite
The Product Analyst will analyze customer behavior and product performance across HighLevel’s Lead Generation suite, building metrics, dashboards, experiments, and actionable recommendations. The role requires 1–3 years of analytics experience, strong SQL, and proficiency with product analytics or BI tools.
About the job
Responsibilities
- Analyze product usage and customer behavior across Funnels, Websites, Forms, Surveys, Domains, SEO, Listings, and other lead-generation products to identify trends, friction points, and growth opportunities.
- Define, monitor, and analyze activation, adoption, engagement, retention, conversion, and monetization metrics.
- Build and maintain dashboards and reports for Product Managers and leadership.
- Perform funnel, journey, cohort, segmentation, retention, feature-launch, root-cause, and deep-dive analyses.
- Partner with Product, Engineering, Design, Data, and GTM teams on opportunity sizing, hypotheses, prioritization, instrumentation, tracking quality, experimentation, and product decisions.
- Combine quantitative data with customer interviews, surveys, support tickets, and feedback.
- Present complex analyses as clear, actionable recommendations.
Requirements
- 1–3 years of experience in Product Analytics, Business Analytics, Data Analytics, Product Operations, or a related role.
- Strong SQL skills and experience with large datasets.
- Strong analytical, problem-solving, communication, and data-visualization skills.
- Experience with product analytics or BI tools such as Amplitude, Mixpanel, Pendo, Tableau, Looker, or Power BI.
- Understanding of activation, adoption, engagement, retention, conversion, churn, and monetization metrics.
- Experience with funnel analysis, cohort analysis, segmentation, and user-journey analysis.
- Strong proficiency with Excel or Google Sheets.
- Experience working cross-functionally with Product Managers, Engineering, Design, and other teams.
Nice to Have
- Python for data analysis, including Pandas and NumPy.
- A/B testing and product experimentation.
- Event-based analytics, instrumentation, tracking plans, and event taxonomy.
- Google Analytics, Google Tag Manager, pixels, attribution, or web analytics.
- Websites, funnels, conversion-rate optimization, digital marketing, or lead-generation products.
- B2B SaaS, MarTech, CRM, website builders, or high-growth technology experience.
- APIs and data flows between systems.
Compensation and Benefits
- Full-time remote role based in India.
Skills
SQL, Python, pandas, NumPy, Amplitude, Mixpanel, Pendo, Tableau, Looker, Power BI, Excel, Google Sheets, A/B Testing, Google Analytics, Google Tag Manager
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