CRM campaigns & Marketing Intelligence Specialist
- Own and manage the marketing CRM as the single source of truth for leads, accounts, and opportunities.
- Ensure data integrity, hygiene, and governance across all marketing and sales systems.
- Design and optimize CRM workflows supporting ABM, lead scoring, automation, and sales handoff.
- Build unified marketing performance dashboards tracking demand, and Marketing KPIs.
- Measure and report on pipeline health, MQA rate, CAC/MQA, and campaign ROI monthly and quarterly.
- Generate actionable insights and forecasts to guide marketing strategy, budgeting, and territory planning.
- Integrate data from CRM, automation, and digital channels into a single intelligence layer.
- Partner with Sales, Finance, and Operations to align attribution models, KPIs, and reporting standards.
- Lead CRM integration and data alignment during the website revamp and digital platform updates.
- Deliver executive dashboards and insight reports for leadership and board decision-making.
Requirements
- Bachelor’s degree in Marketing, Business Analytics, Data Science or related field
- 5-7 relevant years of experience in CRM & Data Management – Proven expertise in Microsoft Dynamics 365 (or equivalent) to manage, integrate, and govern marketing and sales data with high accuracy.
- Campaign Automation – Hands-on experience designing, executing, and optimizing multi-channel automated campaigns with lead scoring, nurturing, and performance tracking.
- Analytics & Insights – Strong analytical skills to build dashboards (Power BI / Looker Studio), track KPIs (MQA rate, CAC, ROI), and translate data into strategic recommendations.
- Data Integration & Intelligence – Ability to connect CRM, automation, and digital platforms into a unified marketing intelligence system for full-funnel visibility.
- Cross-Functional Collaboration – Skilled at aligning with Sales, Finance, and Operations to improve attribution, reporting, and pipeline forecasting.
- Continuous Optimization & Governance – Passion for improving data quality, automation efficiency, and campaign effectiveness through structured testing and insight-driven decision making.