10 дней назад
Commercial and Marketing Analyst Co-op (Ecommerce)
24$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Commercial and Marketing Analyst Co-op (Ecommerce): Analyzing complex datasets and executing pricing, marketing, product selection, and supplier initiatives with an accent on SQL, dashboards, A/B testing, and quantitative modeling. Focus on optimizing commercial performance, diagnosing business trends, improving product discovery, and translating analytical findings into decisions across marketing, retail, and B2B operations.
Location: Boston, Massachusetts, United States; 4 days in office Monday–Thursday and 1 remote day on Friday. The co-op runs from January 4 to June 18, 2027, with a 40-hour workweek from 9:00 a.m. to 5:00 p.m.
Salary: $24 per hour.
Company
is an ecommerce company focused on technology-enabled home shopping, supplier partnerships, digital commerce, and physical retail.
What you will do
- Analyze large datasets with SQL, Python, R, advanced Excel, or related tools to identify trends and growth opportunities.
- Lead strategy initiatives across pricing, marketing, product selection, and profitability.
- Build performance dashboards, tracking systems, and measurable KPIs for daily operations.
- Partner with suppliers to improve selection strategies and the customer experience.
- Design and evaluate A/B tests and quantitative models for ambiguous business problems.
- Present analytical findings through visualizations and persuasive communications to cross-functional stakeholders and leaders.
Requirements
- Currently pursuing a relevant bachelor's degree, with graduation expected between Winter 2027 and Spring 2029.
- Minimum 3.0 GPA and intention to return to the course of study after the co-op.
- Must be able to work 40 hours per week in the Boston office from January 4 through June 18, 2027.
- Must be authorized to work in the United States without current or future visa sponsorship from .
- Proficiency in Microsoft Excel or Google Sheets and SQL or Google BigQuery.
- Strong analytical, quantitative, problem-solving, communication, and cross-functional collaboration skills.
Nice to have
- Familiarity with a programming language.
- Interest in using AI tools in daily work.
- Business acumen and the ability to approach problems from customer or supplier perspectives.
Culture & Benefits
- Dedicated manager, formal mentor, regular feedback, and career coaching.
- Hands-on training, workshops, and practical development opportunities.
- Access to approved AI tools and modern technology platforms.
- Cohort events, networking opportunities, and cross-functional community connections.
- employee discount and paid volunteer time off programs.
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