Remote Data & Systems Specialist – CRM, AI & Integrations

Jobgether

Italia

À distance

EUR 60 000 - 90 000

Plein temps

Il y a 2 jours
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Résumé du poste

Jobgether is seeking a Data & Systems Specialist based in Italy to support data infrastructure, CRM administration, and automation across a globally distributed team.

You will work with Salesforce, Google Workspace, SQL, and API-based integrations to improve data quality and operational efficiency, while collaborating with the Data and Technology Lead and multiple global stakeholders.

Qualifications

  • Degree in a related field and hands-on experience in data management, analytics, CRM administration, and reporting.
  • Experience with APIs and technologies such as Salesforce, Google Workspace, SQL, data visualization, automation and integration tools.
  • Experience in multinational or international nonprofit environments is advantageous.
  • Strong analytical, problem-solving, and collaborative skills across time zones.

Responsabilités

  • Maintain data quality, reliability, and governance across organizational systems.
  • Administer Salesforce and other CRM platforms, manage forms, workflows, and reports.
  • Build and monitor integrations and automated workflows between platforms.
  • Develop dashboards and ad hoc reports; translate data into actionable insights.
  • Support AI-enabled workflows and stay informed on emerging technologies.
  • Collaborate with cross-functional teams and document technical processes.

Connaissances

Data management
CRM administration
System integrations
Reporting & BI
AI tooling
Cross‑functional collaboration
Agile / Scrum

Formation

Bachelor's in CS/IS/Engineering
Data Analytics or related field

Outils

Salesforce
Google Workspace
SQL
Automation platforms
REST APIs

Description du poste

Jobgether is seeking a Data & Systems Specialist based in Italy to support data infrastructure, CRM administration, and automation across a globally distributed team.

You will work with Salesforce, Google Workspace, SQL, and API-based integrations to improve data quality and operational efficiency, while collaborating with the Data and Technology Lead and multiple global stakeholders.

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