[L6-1] Staff, Operational Data Analytics(Rocket Growth)

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

Rocket Growth is a Coupang Fulfillment business that enables sellers to offer best-in-class delivery and post purchase experience to customers. With Rocket Growth, sellers’ products get the Jet Delivery badge and are delivered to customers via Coupang’s Rocket delivery network. 

Rocket Growth is the fastest growing team in Coupang and has an exciting roadmap of products and features in the pipeline. We are hiring driven leaders who are excited to solve tough problems and like to collaborate with brilliant individuals to innovate and create history. 

As a Principal Business Analyst for Rocket Growth, you will be owning and driving critical decision making and modeling across a range of ambiguous problems using data. You will be structuring the data, defining decision variables, running simulations, and modeling large-scale datasets to optimize business outcomes and facilitate business decision making.  

You have a mindset that constantly challenges the status quo, and you possess a high degree of decision-making acumen. You are not afraid to disagree, love working with data, analyzing the data to come up with insights and possess the panache to work with a diverse set of stakeholders to align them to common goals and decisions.  This role will require extensive interaction and collaboration across the organization. (Data Science, Retail, Finance, Product, and Engineering Teams)

Responsibilities

• Reporting, Project Support and Metric Management: 
  • Develop reporting tools for essential reports such as WBR to drive decision making.
  • Conduct complex analysis to support various projects and programs.
  • Deliver a set of KPIs for reporting on product adoption, usage, performance and churn.
  • Manage KPI’s, including data tables and governance.
• Forecasting and A/B Testing: 
  • Design and maintain inventory and revenue forecasting models.
  • Assist in analyzing sales patterns for trend identification and financial forecasting.
  • Design, conduct, and analyze A/B tests with statistical rigor.
  • Conduct cohort studies to uncover insights behind test results.
• Storytelling and Insight Generation: 
  • Create compelling, fact-based test recaps to communicate business stories behind data and test outcomes concisely.
  • Generate analysis to identify category and customer / seller behavior insights.
• Cross-Functional Coordination and Collaboration: 
  • Collaborate with business teams to identify optimal marketing/promotion campaigns using analytics.
  • Work with operations, business stakeholders, and finance to ensure growth drivers impact effectively.
• Leadership and Mentorship: 
  • Provide leadership, guidance and mentorship to analysts.
  • Foster a culture of excellence and continuous improvement.
  • Enhance data capabilities across teams through self-service tools and training.

Basic Qualifications

• Expertise with SQL, SQL tuning, and relational database systems
• Experience using business intelligence reporting tools (Tableau, Data Cubes, Power BI, etc.)
• Knowledge of data management fundamentals and data storage principles
• Excellent verbal and written communication skills
• BA/BS/MA/MS, preferable in Finance/Marketing/ Economics/Statistics; MBA is a plus
• At least 5-10 years relevant work experience in Analytics, CRM, Marketing, Strategy, or Finance; ecommerce/Consulting/Banking Industry experience strongly preferred.
• Must have experience in doing and presenting analysis.
• Must be familiar with marketing concepts & product positioning, preferably in ecommerce consumer industry
• Able to logically break down a problem into steps and define input and output metrics

Preferred Qualifications

• Proficiency in programming languages commonly used in data analytics such as SQL, Python or R.
• Experience with Data Analytics tools and frameworks such as TensorFlow, PyTorch, or similar.
• General understanding of business operations across key areas such as

finance/legal/HR/logistics/e-commerce/tech