Responsibilities

• Own end-to-end CRM analytics covering pipeline health, funnel conversion, churn prediction, and customer segmentation.
• Design and maintain dashboards, reports, and self-serve analytics tools using CRM platforms (Salesforce, HubSpot) and BI tools (Tableau, Looker, Power BI).
• Lead the development of predictive models for lead scoring, propensity to buy, and customer lifetime value (CLV).
• Partner with RevOps and marketing to define KPIs, measurement frameworks, and attribution models.
• Conduct deep-dive analyses on campaign performance, sales productivity, and customer engagement trends.
• Identify data quality issues in the CRM and collaborate with the data engineering team to ensure clean, reliable data pipelines.
• Mentor and guide junior analysts; review their deliverables and build team capability over time.
• Present insights and recommendations to senior leadership and cross-functional stakeholders in a clear, concise manner.
• Stay current with CRM technology trends and recommend enhancements to the analytics stack.

Requirements

• 7+ years in analytics, with at least 3 years focused on CRM or revenue analytics.
• Strong proficiency in SQL; experience with Python or R for analysis and modeling.
• Hands-on experience with Salesforce, HubSpot, or a comparable enterprise CRM.
• Expertise in BI tools — Tableau, Looker, or Power BI.
• Proven track record building predictive models (churn, propensity, CLV).
• Strong understanding of sales funnels, marketing attribution, and customer lifecycle.
• Excellent communication and stakeholder management skills.
• Bachelor’s degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
• Experience with data-pipeline collaboration between analytics and engineering teams is a plus.

Preferred

• Experience with marketing automation platforms (Marketo, Pardot, Eloqua).
• Familiarity with cloud data warehouses — Snowflake, BigQuery, or Redshift.
• Exposure to A/B testing and experimentation frameworks.
• Experience in a B2B SaaS or high-growth environment.
• Salesforce CRM Analytics (Einstein) or similar native analytics certification.

Benefits