Base pay range
$80,000.00/yr - $90,000.00/yr
Job Summary
The Strategy Data Analyst will support the LANEIGE brand team by delivering data-driven insights across key strategic areas including product performance, consumer behavior, and market trends. This role will work closely with cross-functional teams such as Brand Marketing, E-commerce, and Global HQ to inform decision-making and optimize brand growth.
Key Responsibilities
- Collaborate with Demand Planning and Sales Account Leads to consolidate inputs and align with monthly net sales targets, contributing to accurate performance tracking and strategic planning.
- Collaborate with the Marketing team to manage SKU lists and regularly share updates with relevant departments to ensure alignment and operational efficiency.
- Manage and monitor key performance indicators (KPIs) on a monthly basis using sales and operational data; communicate findings with relevant departments and HQ.
- Conduct weekly/monthly sales performance analysis (Sell‑thru, Sell‑in) and share insights with brand teams and stakeholders, including HQ counterparts.
- Generate diversified insights through regular data analysis to support business growth and strategic planning.
- Track and report monthly P&L metrics, identifying issues and escalating them to management with actionable recommendations.
- Conduct periodic and ad‑hoc market research to identify key trends in the US market and propose strategic actions for brands (LANEIGE, INNISFREE, HANYUL).
- Collaborate with the CMI team and Amazon Team to manage and analyze market data from third‑party sources (e.g., Circana, Profitero).
- Support brand and corporate teams with consumer and competitive intelligence to enhance market positioning.
- Work closely with the Brands(LANEIGE, INNISFREE, HANYUL) Marketing team to provide necessary analytical data and support data‑driven decision‑making (e.g., category, retailer).
- Support new business development initiatives across North and Latin America (e.g., new markets, new channels) by coordinating with internal and external stakeholders.
- Review and summarize key HQ documents written in Korean, and share relevant insights with team members and leadership.
- Ensure alignment between HQ’s global strategic direction and APUS’s local strategies through effective communication and data‑driven insights.
- Assist in the development of short‑ and long‑term business plans by providing relevant data analysis and scenario modeling.
- Provide analytical support for regular HQ meetings (weekly/monthly) and key strategic discussions.
Required Qualifications
- Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field.
- 3+ years of experience in data analysis, business strategy, or a related role (experience in beauty industry is a plus).
- Proficiency in Excel and data visualization tools (e.g., SAP, Power BI) – strong plus.
- Strong analytical thinking and problem‑solving skills with attention to detail.
- Excellent communication skills in English & Korean.
- Ability to work cross‑functionally and manage multiple priorities in a fast‑paced environment.
Company Benefits
- Medical, Dental, and Vision Insurance
- HSA Employer Contributions and FSA Options
- 401k Participation with company matching.
- Discount on all APUS Brands Products
- Gratis Program – Gift box with top selling products, twice a year
- Paid Maternity Leave
- Short Term and Long Term Disability Insurance
- Paid Time Off: Vacation / Personal days / Sick days
- Company offered Mental Counseling for all employees
- Office‑closed holidays and floating holidays
- Company sponsored events
- Education assistant Program
- Employee Referral Program
AMOREPACIFIC, US, INC is an equal opportunity and affirmative action employer. We actively seek to maintain a diverse workforce, and AMOREPACIFIC US, INC therefore recruits qualified applicants without regard to race, color, religion, gender, national origin, age, disability, or Vietnam veteran status.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Personal Care Product Manufacturing