Remote Data & Analytics Lead — Higher Ed Growth

Sweat Pants Agency Llc; Ciudad de Mendoza; Remote; ARS 123,879,000 - 185,819,000; Full time

Benefits offered by this job

Remote work in USD

Competitive USD compensation

High-impact projects

Collaborative culture

Growth opportunities

Job summary

Sweat Pants Agency Llc is seeking a Data & Analytics Manager to lead reporting, analytics strategy, and performance insights across universities and nonprofit partners. This remote role operates across LATAM and is paid in USD.

You will build dashboards, analyze marketing and CRM data, monitor campaigns, ensure data accuracy, and collaborate with cross-functional teams to drive data-informed decisions and measurable outcomes.

Qualifications

• 5+ years of analytics or marketing data experience.
• Strong reporting, dashboard, and data visualization skills.
• Experience with marketing KPIs and lead generation reporting.
• Familiarity with CRM systems like Salesforce, Hubspot, or Slate.
• Analytical, organized, and solutions-oriented mindset.
• Strong communication and collaboration skills.

Responsibilities

• Build and maintain dashboards and reporting systems.
• Analyze marketing and CRM data to identify trends and opportunities.
• Monitor campaign performance and provide actionable insights.
• Support conversion tracking and data accuracy across platforms.
• Collaborate with Paid Media, Account Services, and Leadership teams.
• Help improve analytics processes and reporting operations.
• Research new tools and solutions to support growth.

Skills

Analytics experience

Dashboards

Data visualization

Marketing analytics

Lead generation reporting

CRM knowledge

Tools

Salesforce

HubSpot

Slate

Job description

Sweat Pants Agency Llc is seeking a Data & Analytics Manager to lead reporting, analytics strategy, and performance insights across universities and nonprofit partners. This remote role operates across LATAM and is paid in USD.

You will build dashboards, analyze marketing and CRM data, monitor campaigns, ensure data accuracy, and collaborate with cross-functional teams to drive data-informed decisions and measurable outcomes.