Note: The job is a remote job and is open to candidates in USA. Boundless Impact Research & Analytics provides life cycle and techno-economic impact data for advanced technology companies, sustainable brands, and investors. The Marketing Intern will support content creation, marketing campaigns, customer and prospect outreach, CRM data entry, event planning, market research, and related marketing activities in collaboration with the leadership team.
Responsibilities
- Write and copy-edit marketing materials (i.e. socials, newsletters, articles…)
- Refine and implement online marketing campaigns through website, social and other marketing vehicles
- Develop customer and prospect engagement materials and activities
- Conduct data entry of prospective members/clients into HubSpot CRM and MailChimp
- Assist in the organization and planning of events (webinars), managing marketing and outreach, and design programs
- Assist in drafting letters, emails, reports, and proposals
- Design visuals and marketing materials to support communication efforts (i.e. social posts, newsletters, webinars)
- Conduct market research
- Support across all marketing activities as required
Skills
- Strong research, analytical, and writing skills, with a focus on marketing copywriting
- Basic understanding and strong interest in environmental impact / sustainability measurement
- Demonstrated understanding of marketing actions
- Experience authoring or co-authoring marketing or advertising campaigns
- Demonstrated project management skills
- Autonomous and proactive
- Ability to complete tasks on tight deadlines and close attention to details and timelines
- Contributes to the team effort by accomplishing other related duties as required
- Positive attitude, entrepreneurial spirit, easy to work with
- Location: remote, East Coast preferred
Benefits
- Flexible work arrangement: The Marketing Intern can work flexibly for 20 hours per week.
- Flexible Hours.
- Remote position, with East Coast preferred.
- College credits internship.
Company Overview