Job Description & How to Apply Below
Successful candidates should be vibrant individuals with a minimum of 2-4 years of experience in SaaS solutions with strong analytical skills who can work in an agile methodology to realize every opportunity for providing value to our customers. We expect an extraordinary attention to detail from all members of the Asite team.
Responsibilities
Analyze user behavior, product usage, and funnel metrics to generate insights and recommendations.
Develop dashboards and reports to track KPIs across product, revenue, and customer lifecycle metrics and align research with metrics and business goals.
Collaborate with Product Managers, Research Analysts and Engineers to define and measure feature success.
Support marketing and sales teams with data on customer segmentation, campaign performance, and lead quality.
Work closely with Customer Success to identify churn risks, upsell opportunities, and improve onboarding flows.
Design and execute A/B tests to guide product iterations.
Automate data pipelines and reporting processes for efficiency and scalability.
Have a proactive role in continually improving the process.
Desired
Skills & Experience:
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science).
2–4 years of experience as a Data Analyst or similar role in a SaaS or tech environment.
Proficiency in SQL and data analytics & visualization tools (e.g. Excel, SQL, Power BI).
Experience with Python/R for data analysis is a plus.
Strong understanding of SaaS business metrics (e.g., MRR, churn, LTV, CAC, ARR).
Excellent communication skills, with the ability to translate data into actionable insights.
Familiarity with CRM and marketing platforms like Hub Spot, Salesforce
Excellent communication and storytelling skills to present analysis to stakeholders.
Prior experience working in agile product teams with ability to manage multiple tasks and priorities in a fast-paced environment
Excellent teamwork skills especially with a “can-do” attitude
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