3 дня назад
Marketing & Ops Analytics Co-Op
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing & Ops Analytics Co-Op (Data Analytics/Marketing Operations): Building data-driven analyses, analytical tools, and strategic initiatives for marketing, revenue, product, and enrollment operations with an accent on Databricks, SQL, Excel modeling, and AI-assisted workflows. Focus on cleaning and interpreting data, communicating hypotheses to senior stakeholders, detecting KPI trends, and delivering recommendations that influence university partners’ business outcomes.
Location: US - Remote
Company
is an education technology company helping regional universities launch and grow online programs for modern learners.
What you will do
- Structure strategic projects for product, marketing, revenue, and enrollment services functions.
- Execute end-to-end data analytics projects, including data extraction, cleaning, insight generation, hypothesis development, and stakeholder communication.
- Design analytical tools, strategic initiatives, and processes that improve internal and partner-facing decision-making.
- Use AI tools such as Claude and Databricks Genie to accelerate analysis and communication while maintaining ownership of the work product.
- Launch projects to identify KPI trends and strategic issues for university partners.
- Collaborate with Directors, VPs, managers, and analysts on data-informed decisions.
Requirements
- Active enrollment in Fall 2026 and Spring 2027 is required.
- Strong proficiency or working experience with Databricks, SQL, Excel modeling, and data analysis.
- Ability to conduct quantitative analysis and deliver data-driven insights.
- Strong analytical, problem-solving, communication, and presentation skills.
- Ability to manage multiple concurrent workstreams, validate results, and maintain accuracy under time pressure.
- Ability to collaborate effectively across functions.
Nice to have
- Prior internship or co-op experience.
- Experience using Databricks, SQL, Excel modeling, and data analysis to communicate findings to leadership.
- Agile workstyle in a dynamic, fast-paced environment.
Culture & Benefits
- Full-time co-op running from January 2027 through June 2027, with flexibility for academic schedules.
- 40 hours per week, Monday through Friday.
- Mentorship from senior leaders and exposure to senior stakeholders.
- Cross-functional collaboration across marketing, product, revenue, and enrollment services.
- Opportunity to contribute to AI-first analytical practices.
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