Remote Data & Analytics Manager for Education & Nonprofits
Lever, Inc.
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Benefits offered by this job
Job summary
Lever, Inc. is seeking a Data & Analytics Manager to lead reporting, analytics strategy, and performance insights for universities and nonprofits. The role focuses on transforming complex marketing and CRM data into actionable insights to drive smarter decisions and improve campaigns.
This is a 100% remote position, paid in USD, with compensation based on experience and scope. You will collaborate with Paid Media, Account Services, Leadership, and external partners to build dashboards, identify
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.
- Comfortable working in fast-paced agency environments.
- Native or near-native English fluency.
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
Tools
Job description
Lever, Inc. is seeking a Data & Analytics Manager to lead reporting, analytics strategy, and performance insights for universities and nonprofits. The role focuses on transforming complex marketing and CRM data into actionable insights to drive smarter decisions and improve campaigns.
This is a 100% remote position, paid in USD, with compensation based on experience and scope. You will collaborate with Paid Media, Account Services, Leadership, and external partners to build dashboards, identify
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