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Staff Data Analyst (Growth Marketing)

Coupang Internal
Full-time
On-site
Taipei, Taipei, Taiwan

๐Ÿ“Œ Core Information

๐Ÿ”น Job Title: Staff Data Analyst (Growth Marketing)

๐Ÿ”น Company: Coupang

๐Ÿ”น Location: Taipei, Taiwan

๐Ÿ”น Job Type: On-site

๐Ÿ”น Category: Marketing

๐Ÿ”น Date Posted: May 20, 2025

๐Ÿ”น Experience Level: Mid-Senior level (5-10 years)

๐Ÿ”น Remote Status: On-site

๐Ÿš€ Job Overview

Key aspects of this role include:

  • Analyzing tens of millions of data points to provide actionable insights for marketing managers and leadership
  • Collaborating with various stakeholders to enable effective marketing campaigns
  • Creating a data pipeline to ensure data availability and quality
  • Interpreting and presenting data stories to marketing leadership
  • Co-building an analytic culture as part of a growing data team

ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work well with diverse teams. The ideal candidate will have a proven track record in data analysis and a passion for driving data-driven decision-making.

๐Ÿ“‹ Key Responsibilities

โœ… Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions

โœ… Create analytics and reports on growth marketing (Customer, product) metrics to enable effective marketing campaigns

โœ… Provide clear and actionable recommendations on CRM and ads by analyzing user behavior data in the APP

โœ… Create a data pipeline to ensure data availability and quality

โœ… Interpret and present your data story to marketing leadership

โœ… Co-build an analytic culture as part of a growing data team

ASSUMPTION: The role requires a strong focus on data analysis, with the ability to identify trends, patterns, and insights that can inform marketing strategies. The ideal candidate will be comfortable working with large datasets and presenting complex findings in a clear and concise manner.

๐ŸŽฏ Required Qualifications

Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related discipline). A Master's degree in Business Analytics, Data Analytics, or Data Science is preferred but not required.

Experience: 5+ years of working experience in SQL and data analytics

Required Skills:

  • Proficient in Mandarin
  • Attention to detail with the ability to validate data, identify data flaws, and create analytical reports
  • Strong critical thinking and problem-solving skills
  • Ability to take initiative and exercise judgment in a fast-paced and dynamic environment
  • Excellent communication skills to share analysis results in clear and concise manners
  • Middle level English skills (both verbal and written)

Preferred Skills:

  • Experience with BI tools like Tableau, Power BI, Looker, and Data Studio
  • Experience in retail/E-commerce industries
  • Experience in growth marketing and CRM functions
  • Experience in data ETL and data engineering
  • Strong English skills (both verbal and written)
  • 2+ years of working or research experience with pandas and machine learning packages in Python

ASSUMPTION: The required qualifications for this role are quite specific, with a strong emphasis on data analysis skills and experience. The preferred qualifications suggest that candidates with experience in the retail/E-commerce industry, growth marketing, and data engineering would be particularly well-suited to this role.

๐Ÿ’ฐ Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between NT$1,200,000 and NT$1,800,000 per year, based on industry standards for a mid-senior level data analyst in Taipei. This estimate takes into account the candidate's experience level, the company's size, and the location.

Benefits:

  • Health insurance
  • Retirement benefits
  • Paid time off
  • Employee discounts

Working Hours: The standard workweek is 40 hours, with flexible working hours available. The company offers a hybrid work arrangement, with employees expected to work on-site for a minimum of 3 days per week.

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications. The benefits listed are common for companies of this size and industry, but the specific benefits package may vary.

๐Ÿ“Œ Applicant Insights

๐Ÿ” Company Context

Industry: Coupang is a leading e-commerce company, operating in the competitive and rapidly evolving retail industry. The company is known for its innovative approach to commerce, focusing on providing a seamless and convenient customer experience.

Company Size: Coupang is a large company with over 10,000 employees, offering a well-established work environment with ample opportunities for growth and development. The company's size allows for diverse teams and a broad range of career paths.

Founded: Coupang was founded in 2010 and has since grown to become one of the largest e-commerce platforms in South Korea, with a significant presence in Taiwan and other international markets.

Company Description:

  • Coupang is committed to wow-ing its customers by providing an unparalleled shopping experience
  • The company operates a startup-like culture within a large, global public company, fostering innovation and rapid growth
  • Coupang is dedicated to building the future of commerce, pushing the boundaries of what's possible to solve problems and break traditional trade-offs

Company Specialties:

  • Retail and e-commerce
  • Technology and software development
  • Operations and customer service
  • Internet and platform development

Company Website: https://www.coupang.jobs/

ASSUMPTION: Coupang's large size and established presence in the e-commerce industry offer applicants a stable and secure work environment with ample opportunities for growth and development. The company's commitment to innovation and customer experience sets it apart in the competitive retail industry.

๐Ÿ“Š Role Analysis

Career Level: This role is at the mid-senior level, requiring a significant amount of experience and expertise in data analysis and marketing. The ideal candidate will have a proven track record of driving data-driven decision-making and enabling effective marketing campaigns.

Reporting Structure: The Staff Data Analyst (Growth Marketing) will report directly to the Marketing Manager or a similar role within the marketing department. The role may also collaborate with other departments, such as CRM, marketing engineering, and design, to ensure data-driven decision-making across the organization.

Work Arrangement: This role is on-site, with employees expected to work from the company's office in Taipei for a minimum of 3 days per week. The company offers a hybrid work arrangement, with the remaining workdays to be completed remotely.

Growth Opportunities:

  • As Coupang continues to expand its presence in Taiwan and other international markets, there will be ample opportunities for growth and advancement within the marketing department and the company as a whole
  • The ideal candidate will be proactive in seeking out new challenges and taking on additional responsibilities as the company grows
  • The company's commitment to fostering a startup-like culture within a large, global public company offers a unique opportunity for employees to drive innovation and growth

ASSUMPTION: The mid-senior level nature of this role requires a significant amount of experience and expertise in data analysis and marketing. The ideal candidate will have a proven track record of driving data-driven decision-making and enabling effective marketing campaigns. The role's on-site nature and hybrid work arrangement offer a balance between collaboration and flexibility.

๐ŸŒ Location & Work Environment

Office Type: Coupang's Taipei office is a modern, collaborative workspace designed to foster innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas, as well as on-site amenities such as a cafeteria and fitness center.

Office Location(s): 13F, No. 7, Sec. 5, Xinyi Rd., Xinyi Dist., Taipei City, TW

Geographic Context:

  • Taipei is the capital and largest city of Taiwan, with a population of over 2.7 million people
  • The city is known for its vibrant culture, rich history, and diverse culinary scene
  • Taipei is a major hub for technology and innovation in the Asia-Pacific region, with a thriving startup ecosystem and a strong presence of multinational corporations

Work Schedule: The standard workweek is 40 hours, with flexible working hours available. The company offers a hybrid work arrangement, with employees expected to work on-site for a minimum of 3 days per week.

ASSUMPTION: The modern, collaborative work environment at Coupang's Taipei office is designed to foster innovation and creativity, with on-site amenities and a central location in one of Taiwan's most dynamic cities. The hybrid work arrangement offers a balance between collaboration and flexibility, allowing employees to make the most of their time both in the office and working remotely.

๐Ÿ’ผ Interview & Application Insights

Typical Process:

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview โ€“ Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage

Key Assessment Areas:

  • Data analysis skills and experience
  • Communication skills, both written and verbal
  • Problem-solving skills and the ability to think critically
  • Cultural fit and alignment with Coupang's values and work style

Application Tips:

  • Tailor your resume and cover letter to highlight your relevant data analysis experience and skills
  • Provide specific examples of your data analysis work, including the tools and techniques you used and the insights you gained
  • Demonstrate your ability to communicate complex data insights in a clear and concise manner
  • Showcase your problem-solving skills and the ability to think critically about data-driven decision-making

ATS Keywords: SQL, data analysis, marketing, growth, CRM, Python, pandas, machine learning, Mandarin, English

ASSUMPTION: The recruitment process for this role is designed to assess the candidate's data analysis skills and experience, as well as their communication skills and cultural fit with Coupang. The ideal candidate will have a proven track record in data analysis and a passion for driving data-driven decision-making in a marketing context.

๐Ÿ› ๏ธ Tools & Technologies

  • SQL
  • Python
  • pandas
  • Machine learning packages
  • BI tools (e.g., Tableau, Power BI, Looker, Data Studio)
  • Data ETL and data engineering tools

ASSUMPTION: The required tools and technologies for this role are specific to data analysis and marketing, with a focus on SQL, Python, and BI tools. The ideal candidate will have experience with these tools and be comfortable working with large datasets to drive data-driven decision-making.

๐Ÿ‘” Cultural Fit Considerations

Company Values:

  • Customer-centricity: Putting customers first in all decisions and actions
  • Integrity: Acting with honesty, fairness, and transparency in all aspects of work
  • Innovation: Embracing a startup mindset and continuously seeking new ways to improve and grow

Work Style:

  • Collaborative: Working closely with diverse teams to drive data-driven decision-making
  • Agile: Adapting quickly to change and embracing a test-and-learn approach
  • Data-driven: Using data to inform decisions and measure success

Self-Assessment Questions:

  • How do you ensure that your data analysis work aligns with Coupang's customer-centric values?
  • How do you approach working with diverse teams to drive data-driven decision-making?
  • How do you stay up-to-date with the latest data analysis tools and techniques, and how do you apply them to your work?

ASSUMPTION: Coupang's values and work style emphasize customer-centricity, integrity, innovation, collaboration, agility, and data-driven decision-making. The ideal candidate will be able to demonstrate their alignment with these values and work style in their application and interview.

โš ๏ธ Potential Challenges

  • The role may require working with large and complex datasets, which can be challenging and time-consuming
  • The role may involve collaborating with diverse teams, which can present communication and cultural challenges
  • The role may require working in a fast-paced and dynamic environment, which can be stressful and demanding
  • The role may involve working with sensitive customer data, which requires a high degree of confidentiality and ethical consideration

ASSUMPTION: The potential challenges for this role are specific to data analysis, marketing, and working in a fast-paced and dynamic environment. The ideal candidate will be able to demonstrate their ability to overcome these challenges and thrive in a demanding and dynamic work environment.

๐Ÿ“ˆ Similar Roles Comparison

  • Compared to other data analyst roles, this role places a greater emphasis on marketing and growth, with a focus on driving data-driven decision-making in a marketing context
  • Compared to other marketing roles, this role requires a strong background in data analysis and the ability to work with large and complex datasets
  • Compared to other roles within Coupang, this role offers a unique opportunity to work at the intersection of data analysis and marketing, driving data-driven decision-making and enabling effective marketing campaigns

ASSUMPTION: The unique nature of this role, at the intersection of data analysis and marketing, sets it apart from other roles within Coupang and the broader job market. The ideal candidate will have a strong background in both data analysis and marketing, with a passion for driving data-driven decision-making.

๐Ÿ“ Sample Projects

  • Analyzing customer behavior data to identify trends and patterns that inform marketing strategies
  • Developing predictive models to forecast customer churn and identify at-risk customers
  • Creating data visualizations and dashboards to communicate complex data insights to non-technical stakeholders
  • Optimizing marketing campaigns using A/B testing and data-driven decision-making

ASSUMPTION: The sample projects for this role are specific to data analysis and marketing, with a focus on driving data-driven decision-making and enabling effective marketing campaigns. The ideal candidate will have experience with these projects and be able to demonstrate their ability to apply data analysis to marketing challenges.

โ“ Key Questions to Ask During Interview

  • Can you describe a time when you used data analysis to drive a marketing decision, and what was the outcome?
  • How do you approach working with diverse teams to ensure that your data analysis work is relevant and actionable for marketing stakeholders?
  • Can you describe a challenging data analysis project you've worked on, and how you overcame any obstacles you encountered?
  • How do you stay up-to-date with the latest data analysis tools and techniques, and how do you apply them to your work?
  • Can you describe Coupang's data analysis culture, and how do you think you would fit into that culture?

ASSUMPTION: The key questions to ask during the interview for this role are designed to assess the candidate's data analysis skills and experience, as well as their cultural fit with Coupang. The ideal candidate will be able to demonstrate their ability to drive data-driven decision-making in a marketing context and their alignment with Coupang's values and work style.

๐Ÿ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to highlight your relevant data analysis experience and skills
  • Prepare examples of your data analysis work, including the tools and techniques you used and the insights you gained
  • Demonstrate your ability to communicate complex data insights in a clear and concise manner
  • Showcase your problem-solving skills and the ability to think critically about data-driven decision-making
  • Follow up with the hiring manager one week after submitting your application to inquire about the status of your application

โš ๏ธ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.