Data Analyst

• *\*Native/Bilingual English is required for this role (read/written/spoken)
• *Please upload your CV Resume in English.
• *Monthly salary:**

$1,500 - $2,000

USD

Along with our partner, we are seeking a highly motivated and detail-oriented Data Analyst to join their team. This role will play a critical part in driving data-informed decision-making across their organization.

The Data

Analyst will be responsible for developing and maintaining business intelligence dashboards and structuring and evaluating holdout tests.

The ideal candidate has a strong analytical foundation, hands-on experience with BI tools, a solid understanding of experimentation methodologies (including incrementality and holdout testing), as well as strong communication skills to closely collaborate with executive-level stakeholders.

• *Essential Responsibilities:
• Develop, maintain, and distribute automated reports and dashboards across key business functions, including marketing, inventory management, merchandising, and pricing.
• Assess creative performance using Motion to identify trends in content, formats, or products to improve their marketing mix.
• Design, analyze, and interpret A/B tests, ensuring statistical rigor and providing clear, actionable recommendations.
• Partner with marketing and product teams to evaluate incremental lift and long-term impact using holdout and experimentation frameworks.
• Monitor and evaluate business performance against established KPIs, identifying trends, risks, and growth opportunities.
• Collaborate closely with cross-functional teams—including marketing, product, finance, and sales—to understand data needs and proactively deliver insights that support business objectives.
• Contribute to the continuous improvement of reporting, experimentation, and analytical best practices.
• *Qualifications & Skills:
• 1-3 years of professional experience in a data analyst, business analyst, or similar analytical role.
• Strong analytical and problem-solving skills with experience working with large and complex datasets.
• Advanced proficiency in Excel (pivot tables, formulas, data modeling).
• Hands-on experience with Business Intelligence tools such as Power BI, Tableau, or Looker.
• Solid understanding of statistical methods, including A/B testing, holdout testing, and experimental design.
• Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
• Experience in e-commerce, retail, or consumer brands is a plus
• *Work Schedule**

: US Pacific Standard Time

• Benefits:
• A fully remote position with a structured schedule that supports work-life balance.
• The opportunity to join a fast-growing eCommerce brand setting new standards in digital marketing and customer acquisition.
• Two weeks of paid vacation per year.
• 10 paid days for local holidays.
• \*Please note our partner is only looking for full-time dedicated team members who are eager to fully integrate within their team.