Candidate Profile

Roo1103

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About

CRM and Data Analyst with over three years of experience in HubSpot management, database segmentation, funnel control, and support for marketing and sales teams. Proven ability in HubSpot, SQL, Microsoft Office Suite, Looker Studio, Google Cloud, and Jira. Strong analytical skills, focused on results, collaborating with cross-functional teams to achieve business goals.

Proficient in

HubSpot managementdatabase segmentationfunnel controland support for marketing and sales teams

International

Availability

Part-time or Full-time

Experience

3 years

Previous Roles

Work History

CRM Analyst

Customer Relationship Analyst

Key Responsibilities in Most Recent Role

Job Title: CRM Analyst

3 years

Created workflows and automated messaging (Email, WhatsApp, SMS, and Push).
Performed A/B tests and experiments to optimize CRM campaigns and improve message personalization and relevance.
Monitored key performance metrics such as open rate, click rate, conversions, conversion rate, and return on investment (ROI).
Tracked key KPIs of the area and business.
Provided training and support on CRM tools, ensuring proper usage, sharing best practices, and keeping users updated.
Supported other departments, helping marketing, sales, and relationship teams configure emails, landing pages, and WhatsApp messages.
Segmented databases of schools in Brazil and Mexico for marketing and sales teams, reducing duplicate leads in the CRM.
Increased marketing campaign efficiency by 30% by refining audience segmentation and removing inactive/hard bounce clients.
Implemented CRM automations to improve sales team efficiency, reducing operational time by 20%.
Used tools like SQL, Python, and Excel to analyze collected data and identify behavior patterns of schools.
Supported system integration, ensuring full functionality between the CRM and the database.
Created reports using Looker to monitor performance metrics and analyze customer behavior.
Assisted in the process of client clustering.
Developed process reports and insights, identifying opportunities for improvement and spotting potential churn cases, increasing customer engagement and reducing churn rates.
Segmented schools based on revenue potential, reducing the number of schools per consultant from 200 to 65, prioritizing schools with higher project adherence

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